regen (#191)
* regen
diff --git a/googleapis/cloud/asset/v1p2beta1/asset_service.pb.go b/googleapis/cloud/asset/v1p2beta1/asset_service.pb.go
index c923227..f33d053 100644
--- a/googleapis/cloud/asset/v1p2beta1/asset_service.pb.go
+++ b/googleapis/cloud/asset/v1p2beta1/asset_service.pb.go
@@ -493,6 +493,7 @@
return ""
}
+// List asset feeds response.
type ListFeedsResponse struct {
// A list of feeds.
Feeds []*Feed `protobuf:"bytes,1,rep,name=feeds,proto3" json:"feeds,omitempty"`
@@ -589,6 +590,7 @@
return nil
}
+// Delete asset feed request.
type DeleteFeedRequest struct {
// The name of the feed and it must be in the format of:
// projects/project_number/feeds/feed_id
diff --git a/googleapis/cloud/automl/v1beta1/classification.pb.go b/googleapis/cloud/automl/v1beta1/classification.pb.go
index b71e570..0aaa24f 100644
--- a/googleapis/cloud/automl/v1beta1/classification.pb.go
+++ b/googleapis/cloud/automl/v1beta1/classification.pb.go
@@ -476,6 +476,14 @@
// [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
// only list of [annotation_spec_display_name-s][] is populated.
AnnotationSpecId []string `protobuf:"bytes,1,rep,name=annotation_spec_id,json=annotationSpecId,proto3" json:"annotation_spec_id,omitempty"`
+ // Output only. Display name of the annotation specs used in the confusion
+ // matrix, as they were at the moment of the evaluation. For Tables
+ // CLASSIFICATION
+ //
+ // [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type],
+ // distinct values of the target column at the moment of the model
+ // evaluation are populated here.
+ DisplayName []string `protobuf:"bytes,3,rep,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
// Output only. Rows in the confusion matrix. The number of rows is equal to
// the size of `annotation_spec_id`.
// `row[i].value[j]` is the number of examples that have ground truth of the
@@ -523,6 +531,13 @@
return nil
}
+func (m *ClassificationEvaluationMetrics_ConfusionMatrix) GetDisplayName() []string {
+ if m != nil {
+ return m.DisplayName
+ }
+ return nil
+}
+
func (m *ClassificationEvaluationMetrics_ConfusionMatrix) GetRow() []*ClassificationEvaluationMetrics_ConfusionMatrix_Row {
if m != nil {
return m.Row
@@ -593,59 +608,61 @@
}
var fileDescriptor_7b436fefe6ae5367 = []byte{
- // 859 bytes of a gzipped FileDescriptorProto
+ // 881 bytes of a gzipped FileDescriptorProto
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+ 0xea, 0xf6, 0xc9, 0x6f, 0x16, 0x1c, 0x50, 0x1e, 0x6d, 0x9a, 0xf1, 0x64, 0x77, 0xb5, 0xf9, 0x58,
+ 0x3d, 0x6c, 0x3f, 0xf7, 0x72, 0x85, 0xcf, 0x43, 0x12, 0xfb, 0x2e, 0x4f, 0xfd, 0xb6, 0xcf, 0x62,
+ 0xfd, 0xe8, 0xb5, 0x0d, 0x44, 0x92, 0x40, 0xac, 0x7d, 0x41, 0xbf, 0x33, 0xe1, 0xef, 0xf6, 0xb3,
+ 0x1f, 0x34, 0xf1, 0xbc, 0xaf, 0x48, 0xe7, 0xbd, 0x4c, 0xf2, 0xd3, 0xf0, 0xfc, 0x9d, 0x21, 0xfd,
+ 0x69, 0x7f, 0x69, 0xd0, 0x6e, 0x57, 0xc3, 0xdd, 0xae, 0xc6, 0x47, 0xdd, 0x6e, 0x4e, 0xb8, 0xd8,
+ 0xd6, 0xcd, 0xbe, 0xfd, 0x27, 0x00, 0x00, 0xff, 0xff, 0x30, 0x50, 0x8f, 0x30, 0xfc, 0x07, 0x00,
+ 0x00,
}
diff --git a/googleapis/cloud/automl/v1beta1/column_spec.pb.go b/googleapis/cloud/automl/v1beta1/column_spec.pb.go
index 17f4efb..f958793 100644
--- a/googleapis/cloud/automl/v1beta1/column_spec.pb.go
+++ b/googleapis/cloud/automl/v1beta1/column_spec.pb.go
@@ -44,12 +44,7 @@
// Dataset.tables_dataset_metadata.stats_update_time field
// for the timestamp at which these stats were last updated.
DataStats *DataStats `protobuf:"bytes,4,opt,name=data_stats,json=dataStats,proto3" json:"data_stats,omitempty"`
- // Output only. Top 10 most correlated with this column columns of the table,
- // ordered by
- // [cramers_v][google.cloud.automl.v1beta1.CorrelationStats.cramers_v] metric.
- // This field may be stale, see the ancestor's
- // Dataset.tables_dataset_metadata.stats_update_time field
- // for the timestamp at which these stats were last updated.
+ // Deprecated.
TopCorrelatedColumns []*ColumnSpec_CorrelatedColumn `protobuf:"bytes,5,rep,name=top_correlated_columns,json=topCorrelatedColumns,proto3" json:"top_correlated_columns,omitempty"`
// Used to perform consistent read-modify-write updates. If not set, a blind
// "overwrite" update happens.
diff --git a/googleapis/cloud/automl/v1beta1/data_items.pb.go b/googleapis/cloud/automl/v1beta1/data_items.pb.go
index 7764ef7..1974b4a 100644
--- a/googleapis/cloud/automl/v1beta1/data_items.pb.go
+++ b/googleapis/cloud/automl/v1beta1/data_items.pb.go
@@ -126,9 +126,9 @@
// Required. The content of the text snippet as a string. Up to 250000
// characters long.
Content string `protobuf:"bytes,1,opt,name=content,proto3" json:"content,omitempty"`
- // The format of the source text. Currently the only two allowed values are
- // "text/html" and "text/plain". If left blank the format is automatically
- // determined from the type of the uploaded content.
+ // Optional. The format of [content][google.cloud.automl.v1beta1.TextSnippet.content]. Currently the only two allowed
+ // values are "text/html" and "text/plain". If left blank, the format is
+ // automatically determined from the type of the uploaded [content][google.cloud.automl.v1beta1.TextSnippet.content].
MimeType string `protobuf:"bytes,2,opt,name=mime_type,json=mimeType,proto3" json:"mime_type,omitempty"`
// Output only. HTTP URI where you can download the content.
ContentUri string `protobuf:"bytes,4,opt,name=content_uri,json=contentUri,proto3" json:"content_uri,omitempty"`
@@ -226,18 +226,18 @@
// A representation of a row in a relational table.
type Row struct {
- // Input Only.
// The resource IDs of the column specs describing the columns of the row.
- // If set must contain, but possibly in a different order, all input feature
+ // If set must contain, but possibly in a different order, all input
+ // feature
//
// [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
// of the Model this row is being passed to.
// Note: The below `values` field must match order of this field, if this
// field is set.
ColumnSpecIds []string `protobuf:"bytes,2,rep,name=column_spec_ids,json=columnSpecIds,proto3" json:"column_spec_ids,omitempty"`
- // Input Only.
- // The values of the row cells, given in the same order as the
- // column_spec_ids, or, if not set, then in the same order as input feature
+ // Required. The values of the row cells, given in the same order as the
+ // column_spec_ids, or, if not set, then in the same order as input
+ // feature
//
// [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
// of the Model this row is being passed to.
diff --git a/googleapis/cloud/automl/v1beta1/data_types.pb.go b/googleapis/cloud/automl/v1beta1/data_types.pb.go
index b16ad10..fe85a35 100644
--- a/googleapis/cloud/automl/v1beta1/data_types.pb.go
+++ b/googleapis/cloud/automl/v1beta1/data_types.pb.go
@@ -24,14 +24,6 @@
// `TypeCode` is used as a part of
// [DataType][google.cloud.automl.v1beta1.DataType].
-//
-// Each legal value of a DataType can be encoded to or decoded from a JSON
-// value, using the encodings listed below, and definitions of which can be
-// found at
-//
-// https:
-// //developers.google.com/protocol-buffers
-// // /docs/reference/google.protobuf#value.
type TypeCode int32
const (
diff --git a/googleapis/cloud/automl/v1beta1/detection.pb.go b/googleapis/cloud/automl/v1beta1/detection.pb.go
index f1f6bd5..aa4899d 100644
--- a/googleapis/cloud/automl/v1beta1/detection.pb.go
+++ b/googleapis/cloud/automl/v1beta1/detection.pb.go
@@ -25,11 +25,9 @@
// Annotation details for image object detection.
type ImageObjectDetectionAnnotation struct {
- // Output only.
- // The rectangle representing the object location.
+ // Output only. The rectangle representing the object location.
BoundingBox *BoundingPoly `protobuf:"bytes,1,opt,name=bounding_box,json=boundingBox,proto3" json:"bounding_box,omitempty"`
- // Output only.
- // The confidence that this annotation is positive for the parent example,
+ // Output only. The confidence that this annotation is positive for the parent example,
// value in [0, 1], higher means higher positivity confidence.
Score float32 `protobuf:"fixed32,2,opt,name=score,proto3" json:"score,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
@@ -78,8 +76,7 @@
// Annotation details for video object tracking.
type VideoObjectTrackingAnnotation struct {
- // Optional.
- // The instance of the object, expressed as a positive integer. Used to tell
+ // Optional. The instance of the object, expressed as a positive integer. Used to tell
// apart objects of the same type (i.e. AnnotationSpec) when multiple are
// present on a single example.
// NOTE: Instance ID prediction quality is not a part of model evaluation and
@@ -93,8 +90,7 @@
// Required. The rectangle representing the object location on the frame (i.e.
// at the time_offset of the video).
BoundingBox *BoundingPoly `protobuf:"bytes,3,opt,name=bounding_box,json=boundingBox,proto3" json:"bounding_box,omitempty"`
- // Output only.
- // The confidence that this annotation is positive for the video at
+ // Output only. The confidence that this annotation is positive for the video at
// the time_offset, value in [0, 1], higher means higher positivity
// confidence. For annotations created by the user the score is 1. When
// user approves an annotation, the original float score is kept (and not
diff --git a/googleapis/cloud/automl/v1beta1/image.pb.go b/googleapis/cloud/automl/v1beta1/image.pb.go
index 1a2a18b..b031817 100644
--- a/googleapis/cloud/automl/v1beta1/image.pb.go
+++ b/googleapis/cloud/automl/v1beta1/image.pb.go
@@ -239,9 +239,16 @@
// `train_cost` will be equal or less than this value. If further model
// training ceases to provide any improvements, it will stop without using
// full budget and the stop_reason will be `MODEL_CONVERGED`.
- // Note, node_hour = actual_hour * number_of_nodes_invovled. The train budget
- // must be between 20,000 and 2,000,000 milli node hours, inclusive. The
- // default value is 216, 000 which represents one day in wall time.
+ // Note, node_hour = actual_hour * number_of_nodes_invovled.
+ // For model type `cloud-high-accuracy-1`(default) and `cloud-low-latency-1`,
+ // the train budget must be between 20,000 and 2,000,000 milli node hours,
+ // inclusive. The default value is 216, 000 which represents one day in
+ // wall time.
+ // For model type `mobile-low-latency-1`, `mobile-versatile-1`,
+ // `mobile-high-accuracy-1`, `mobile-core-ml-low-latency-1`,
+ // `mobile-core-ml-versatile-1`, `mobile-core-ml-high-accuracy-1`, the train
+ // budget must be between 1,000 and 100,000 milli node hours, inclusive.
+ // The default value is 24, 000 which represents one day in wall time.
TrainBudgetMilliNodeHours int64 `protobuf:"varint,6,opt,name=train_budget_milli_node_hours,json=trainBudgetMilliNodeHours,proto3" json:"train_budget_milli_node_hours,omitempty"`
// Output only. The actual train cost of creating this model, expressed in
// milli node hours, i.e. 1,000 value in this field means 1 node hour.
diff --git a/googleapis/cloud/automl/v1beta1/io.pb.go b/googleapis/cloud/automl/v1beta1/io.pb.go
index 5aa261f..70c6f1a 100644
--- a/googleapis/cloud/automl/v1beta1/io.pb.go
+++ b/googleapis/cloud/automl/v1beta1/io.pb.go
@@ -29,10 +29,10 @@
// [gcs_source][google.cloud.automl.v1beta1.InputConfig.gcs_source]
// is expected, unless specified otherwise. Additionally any input .CSV file
// by itself must be 100MB or smaller, unless specified otherwise.
-// If an "example" file (i.e. image, video etc.) with identical content
+// If an "example" file (that is, image, video etc.) with identical content
// (even if it had different GCS_FILE_PATH) is mentioned multiple times, then
// its label, bounding boxes etc. are appended. The same file should be always
-// provided with the same ML_USE and GCS_FILE_PATH, if it is not then
+// provided with the same ML_USE and GCS_FILE_PATH, if it is not, then
// these values are nondeterministically selected from the given ones.
//
// The formats are represented in EBNF with commas being literal and with
@@ -62,12 +62,16 @@
// BOUNDING_BOX-es per image are allowed (one BOUNDING_BOX is defined
// per line). If an image has not yet been labeled, then it should be
// mentioned just once with no LABEL and the ",,,,,,," in place of the
+// BOUNDING_BOX. For images which are known to not contain any
+// bounding boxes, they should be labelled explictly as
+// "NEGATIVE_IMAGE", followed by ",,,,,,," in place of the
// BOUNDING_BOX.
-// Four sample rows:
+// Sample rows:
// TRAIN,gs://folder/image1.png,car,0.1,0.1,,,0.3,0.3,,
// TRAIN,gs://folder/image1.png,bike,.7,.6,,,.8,.9,,
// UNASSIGNED,gs://folder/im2.png,car,0.1,0.1,0.2,0.1,0.2,0.3,0.1,0.3
// TEST,gs://folder/im3.png,,,,,,,,,
+// TRAIN,gs://folder/im4.png,NEGATIVE_IMAGE,,,,,,,,,
//
// * For Video Classification:
// CSV file(s) with each line in format:
@@ -132,21 +136,21 @@
// * For Text Extraction:
// CSV file(s) with each line in format:
// ML_USE,GCS_FILE_PATH
-// GCS_FILE_PATH leads to a .JSONL (i.e. JSON Lines) file which either
-// imports text in-line or as documents.
+// GCS_FILE_PATH leads to a .JSONL (that is, JSON Lines) file which
+// either imports text in-line or as documents.
// The in-line .JSONL file contains, per line, a proto that wraps a
-// TextSnippet proto (in json representation) followed by one or
-// more AnnotationPayload protos (called annotations), which have
-// display_name and text_extraction detail populated.
-// The given text is expected to be annotated exhaustively, e.g. if
-// you look for animals and text contains "dolphin" that is not
-// labeled, then "dolphin" will be assumed to not be an animal. Any
-// given text snippet content must have 30,000 characters or less,
-// and also be UTF-8 NFC encoded (ASCII already is). The document .JSONL file contains, per line, a proto that wraps a
-// Document proto with input_config set. Only PDF documents are
-// supported now, and each document may be up to 2MB large.
-// Currently annotations on documents cannot be specified at import.
-// Any given .JSONL file must be 100MB or smaller.
+// TextSnippet proto (in json representation) followed by one or more
+// AnnotationPayload protos (called annotations), which have
+// display_name and text_extraction detail populated. The given text
+// is expected to be annotated exhaustively, for example, if you look
+// for animals and text contains "dolphin" that is not labeled, then
+// "dolphin" is assumed to not be an animal. Any given text snippet
+// content must have 30,000 characters or less, and also be UTF-8 NFC
+// encoded (ASCII already is). The document .JSONL file contains, per line, a proto that wraps a
+// Document proto with input_config set. Only PDF documents are
+// supported now, and each document may be up to 2MB large. Currently
+// annotations on documents cannot be specified at import. Any given
+// .JSONL file must be 100MB or smaller.
// Three sample CSV rows:
// TRAIN,gs://folder/file1.jsonl
// VALIDATE,gs://folder/file2.jsonl
@@ -216,44 +220,44 @@
// TEXT_SNIPPET and GCS_FILE_PATH are distinguished by a pattern. If
// the column content is a valid gcs file path, i.e. prefixed by
// "gs://", it will be treated as a GCS_FILE_PATH, else if the content
-// is enclosed within double quotes (""), it will
-// be treated as a TEXT_SNIPPET. In the GCS_FILE_PATH case, the path
-// must lead to a .txt file with UTF-8 encoding, e.g.
-// "gs://folder/content.txt", and the content in it will be extracted
+// is enclosed within double quotes (""), it is
+// treated as a TEXT_SNIPPET. In the GCS_FILE_PATH case, the path
+// must lead to a .txt file with UTF-8 encoding, for example,
+// "gs://folder/content.txt", and the content in it is extracted
// as a text snippet. In TEXT_SNIPPET case, the column content
-// excluding quotes will be treated as to be imported text snippet. In
+// excluding quotes is treated as to be imported text snippet. In
// both cases, the text snippet/file size must be within 128kB.
// Maximum 100 unique labels are allowed per CSV row.
-// Four sample rows:
-// TRAIN,"They have bad food and very rude",RudeService,BadFood
-// TRAIN,gs://folder/content.txt,SlowService
-// TEST,"Typically always bad service there.",RudeService
-// VALIDATE,"Stomach ache to go.",BadFood
+// Sample rows:
+// TRAIN,"They have bad food and very rude",RudeService,BadFood
+// TRAIN,gs://folder/content.txt,SlowService
+// TEST,"Typically always bad service there.",RudeService
+// VALIDATE,"Stomach ache to go.",BadFood
//
// * For Text Sentiment:
// CSV file(s) with each line in format:
// ML_USE,(TEXT_SNIPPET | GCS_FILE_PATH),SENTIMENT
// TEXT_SNIPPET and GCS_FILE_PATH are distinguished by a pattern. If
-// the column content is a valid gcs file path, i.e. prefixed by
-// "gs://", it will be treated as a GCS_FILE_PATH, otherwise it will
-// be treated as a TEXT_SNIPPET. In the GCS_FILE_PATH case, the path
-// must lead to a .txt file with UTF-8 encoding, e.g.
-// "gs://folder/content.txt", and the content in it will be extracted
+// the column content is a valid gcs file path, that is, prefixed by
+// "gs://", it is treated as a GCS_FILE_PATH, otherwise it is treated
+// as a TEXT_SNIPPET. In the GCS_FILE_PATH case, the path
+// must lead to a .txt file with UTF-8 encoding, for example,
+// "gs://folder/content.txt", and the content in it is extracted
// as a text snippet. In TEXT_SNIPPET case, the column content itself
-// will be treated as to be imported text snippet. In both cases, the
+// is treated as to be imported text snippet. In both cases, the
// text snippet must be up to 500 characters long.
-// Four sample rows:
-// TRAIN,"@freewrytin God is way too good for Claritin",2
-// TRAIN,"I need Claritin so bad",3
-// TEST,"Thank god for Claritin.",4
-// VALIDATE,gs://folder/content.txt,2
+// Sample rows:
+// TRAIN,"@freewrytin this is way too good for your product",2
+// TRAIN,"I need this product so bad",3
+// TEST,"Thank you for this product.",4
+// VALIDATE,gs://folder/content.txt,2
//
// * For Tables:
// Either
// [gcs_source][google.cloud.automl.v1beta1.InputConfig.gcs_source] or
//
// [bigquery_source][google.cloud.automl.v1beta1.InputConfig.bigquery_source]
-// can be used. All inputs will be concatenated into a single
+// can be used. All inputs is concatenated into a single
//
// [primary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_name]
// For gcs_source:
@@ -276,7 +280,6 @@
// An imported table must have between 2 and 1,000 columns, inclusive,
// and between 1000 and 100,000,000 rows, inclusive. There are at most 5
// import data running in parallel.
-//
// Definitions:
// ML_USE = "TRAIN" | "VALIDATE" | "TEST" | "UNASSIGNED"
// Describes how the given example (file) should be used for model
@@ -335,7 +338,7 @@
// If any of the provided CSV files can't be parsed or if more than certain
// percent of CSV rows cannot be processed then the operation fails and
// nothing is imported. Regardless of overall success or failure the per-row
-// failures, up to a certain count cap, will be listed in
+// failures, up to a certain count cap, is listed in
// Operation.metadata.partial_failures.
//
type InputConfig struct {
@@ -447,6 +450,28 @@
// The formats are represented in EBNF with commas being literal and with
// non-terminal symbols defined near the end of this comment. The formats
// are:
+//
+// * For Image Classification:
+// CSV file(s) with each line having just a single column:
+// GCS_FILE_PATH
+// which leads to image of up to 30MB in size. Supported
+// extensions: .JPEG, .GIF, .PNG. This path is treated as the ID in
+// the Batch predict output.
+// Three sample rows:
+// gs://folder/image1.jpeg
+// gs://folder/image2.gif
+// gs://folder/image3.png
+//
+// * For Image Object Detection:
+// CSV file(s) with each line having just a single column:
+// GCS_FILE_PATH
+// which leads to image of up to 30MB in size. Supported
+// extensions: .JPEG, .GIF, .PNG. This path is treated as the ID in
+// the Batch predict output.
+// Three sample rows:
+// gs://folder/image1.jpeg
+// gs://folder/image2.gif
+// gs://folder/image3.png
// * For Video Classification:
// CSV file(s) with each line in format:
// GCS_FILE_PATH,TIME_SEGMENT_START,TIME_SEGMENT_END
@@ -470,6 +495,28 @@
// gs://folder/video1.mp4,10,240
// gs://folder/video1.mp4,300,360
// gs://folder/vid2.mov,0,inf
+// * For Text Classification:
+// CSV file(s) with each line having just a single column:
+// GCS_FILE_PATH | TEXT_SNIPPET
+// Any given text file can have size upto 128kB.
+// Any given text snippet content must have 60,000 characters or less.
+// Three sample rows:
+// gs://folder/text1.txt
+// "Some text content to predict"
+// gs://folder/text3.pdf
+// Supported file extensions: .txt, .pdf
+//
+// * For Text Sentiment:
+// CSV file(s) with each line having just a single column:
+// GCS_FILE_PATH | TEXT_SNIPPET
+// Any given text file can have size upto 128kB.
+// Any given text snippet content must have 500 characters or less.
+// Three sample rows:
+// gs://folder/text1.txt
+// "Some text content to predict"
+// gs://folder/text3.pdf
+// Supported file extensions: .txt, .pdf
+//
// * For Text Extraction
// .JSONL (i.e. JSON Lines) file(s) which either provide text in-line or
// as documents (for a single BatchPredict call only one of the these
@@ -542,101 +589,51 @@
// 100GB or smaller, where first file must have a header containing
// column names. If the first row of a subsequent file is the same as
// the header, then it is also treated as a header. All other rows
-// contain values for the corresponding columns. For all
-// CLASSIFICATION and REGRESSION
-//
-// [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]:
-// The column names must contain the model's
+// contain values for the corresponding columns.
+// The column names must contain the model's
//
// [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
//
// [display_name-s][google.cloud.automl.v1beta1.ColumnSpec.display_name]
-// (order doesn't matter). The columns corresponding to the model's
-// input feature column specs must contain values compatible with
-// the column spec's data types. Prediction on all the rows, i.e.
-// the CSV lines, will be attempted. First three sample rows of a
-// CSV file:
+// (order doesn't matter). The columns corresponding to the model's
+// input feature column specs must contain values compatible with the
+// column spec's data types. Prediction on all the rows, i.e. the CSV
+// lines, will be attempted. For FORECASTING
+//
+// [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]:
+// all columns having
+//
+// [TIME_SERIES_AVAILABLE_PAST_ONLY][google.cloud.automl.v1beta1.ColumnSpec.ForecastingMetadata.ColumnType]
+// type will be ignored.
+// First three sample rows of a CSV file:
// "First Name","Last Name","Dob","Addresses"
//
// "John","Doe","1968-01-22","[{"status":"current","address":"123_First_Avenue","city":"Seattle","state":"WA","zip":"11111","numberOfYears":"1"},{"status":"previous","address":"456_Main_Street","city":"Portland","state":"OR","zip":"22222","numberOfYears":"5"}]"
//
// "Jane","Doe","1980-10-16","[{"status":"current","address":"789_Any_Avenue","city":"Albany","state":"NY","zip":"33333","numberOfYears":"2"},{"status":"previous","address":"321_Main_Street","city":"Hoboken","state":"NJ","zip":"44444","numberOfYears":"3"}]}
-// For FORECASTING
-//
-// [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]:
-// The column names must contain the union of the model's
-//
-// [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
-//
-// [display_name-s][google.cloud.automl.v1beta1.ColumnSpec.display_name]
-// and
-//
-// [target_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
-//
-// [display_name][google.cloud.automl.v1beta1.ColumnSpec.display_name]
-// (order doesn't matter), with values compatible with these column
-// specs data types, except as specified below.
-// The input rows must contain not only the to-be-predicted rows
-// but also the historical data rows, even if they would be
-// identical as the ones on which the model has been trained.
-// The historical rows must have non-NULL target column
-// values. The to-be-predicted rows must have NULL values in the
-// target column and all columns having
-//
-// [TIME_SERIES_AVAILABLE_PAST_ONLY][google.cloud.automl.v1beta1.ColumnSpec.ForecastingMetadata.ColumnType.KEY]
-// type, regardless if these columns are
-// [nullable][google.cloud.automl.v1beta1.DataType.nullable].
-// Prediction only on the to-be-predicted rows will be attempted.
-// First four sample rows of a CSV file:
-//
-// "Year","City","OlympicsThatYear","Population","WaterUsedGigaGallons"
-// "2000","NYC","true","8008278","452.7"
-// "2001","NYC","false","8024963","432.2"
-// "2002","NYC","true","",""
// BigQuery case:
// An URI of a BigQuery table. The user data size of the BigQuery
// table must be 100GB or smaller.
-// For all CLASSIFICATION and REGRESSION
-//
-// [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]:
-// The column names must contain the model's
+// The column names must contain the model's
//
// [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
//
// [display_name-s][google.cloud.automl.v1beta1.ColumnSpec.display_name]
-// (order doesn't matter). The columns corresponding to the model's
-// input feature column specs must contain values compatible with
-// the column spec's data types. Prediction on all the rows of the
-// table will be attempted.
-// For FORECASTING
+// (order doesn't matter). The columns corresponding to the model's
+// input feature column specs must contain values compatible with the
+// column spec's data types. Prediction on all the rows of the table
+// will be attempted. For FORECASTING
//
// [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]:
-// The column names must contain the union of the model's
+// all columns having
//
-// [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
-//
-// [display_name-s][google.cloud.automl.v1beta1.ColumnSpec.display_name]
-// and
-//
-// [target_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
-//
-// [display_name][google.cloud.automl.v1beta1.ColumnSpec.display_name]
-// (order doesn't matter), with values compatible with these column
-// specs data types, except as specified below.
-// The table's rows must contain not only the to-be-predicted rows
-// but also the historical data rows, even if they would be
-// identical as the ones on which the model has been trained.
-// The historical rows must have non-NULL target column values.
-// The to-be-predicted rows must have NULL values in the
-// target column and all columns having
-//
-// [TIME_SERIES_AVAILABLE_PAST_ONLY][google.cloud.automl.v1beta1.ColumnSpec.ForecastingMetadata.ColumnType.KEY]
-// type, regardless if these columns are
-// [nullable][google.cloud.automl.v1beta1.DataType.nullable].
-// Prediction only on the to-be-predicted rows will be attempted.
+// [TIME_SERIES_AVAILABLE_PAST_ONLY][google.cloud.automl.v1beta1.ColumnSpec.ForecastingMetadata.ColumnType]
+// type will be ignored.
//
// Definitions:
// GCS_FILE_PATH = A path to file on GCS, e.g. "gs://folder/video.avi".
+// TEXT_SNIPPET = A content of a text snippet, UTF-8 encoded, enclosed within
+// double quotes ("")
// TIME_SEGMENT_START = TIME_OFFSET
// Expresses a beginning, inclusive, of a time segment
// within an
@@ -900,11 +897,55 @@
//
// [gcs_destination][google.cloud.automl.v1beta1.BatchPredictOutputConfig.gcs_destination]
// must be set unless specified otherwise for a domain. If gcs_destination is
-// set then in the given directory a new directory will be created. Its name
+// set then in the given directory a new directory is created. Its name
// will be
// "prediction-<model-display-name>-<timestamp-of-prediction-call>",
// where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. The contents
// of it depends on the ML problem the predictions are made for.
+//
+// * For Image Classification:
+// In the created directory files `image_classification_1.jsonl`,
+// `image_classification_2.jsonl`,...,`image_classification_N.jsonl`
+// will be created, where N may be 1, and depends on the
+// total number of the successfully predicted images and annotations.
+// A single image will be listed only once with all its annotations,
+// and its annotations will never be split across files.
+// Each .JSONL file will contain, per line, a JSON representation of a
+// proto that wraps image's "ID" : "<id_value>" followed by a list of
+// zero or more AnnotationPayload protos (called annotations), which
+// have classification detail populated.
+// If prediction for any image failed (partially or completely), then an
+// additional `errors_1.jsonl`, `errors_2.jsonl`,..., `errors_N.jsonl`
+// files will be created (N depends on total number of failed
+// predictions). These files will have a JSON representation of a proto
+// that wraps the same "ID" : "<id_value>" but here followed by
+// exactly one
+//
+// [`google.rpc.Status`](https:
+// //github.com/googleapis/googleapis/blob/master/google/rpc/status.proto)
+// containing only `code` and `message`fields.
+//
+// * For Image Object Detection:
+// In the created directory files `image_object_detection_1.jsonl`,
+// `image_object_detection_2.jsonl`,...,`image_object_detection_N.jsonl`
+// will be created, where N may be 1, and depends on the
+// total number of the successfully predicted images and annotations.
+// Each .JSONL file will contain, per line, a JSON representation of a
+// proto that wraps image's "ID" : "<id_value>" followed by a list of
+// zero or more AnnotationPayload protos (called annotations), which
+// have image_object_detection detail populated. A single image will
+// be listed only once with all its annotations, and its annotations
+// will never be split across files.
+// If prediction for any image failed (partially or completely), then
+// additional `errors_1.jsonl`, `errors_2.jsonl`,..., `errors_N.jsonl`
+// files will be created (N depends on total number of failed
+// predictions). These files will have a JSON representation of a proto
+// that wraps the same "ID" : "<id_value>" but here followed by
+// exactly one
+//
+// [`google.rpc.Status`](https:
+// //github.com/googleapis/googleapis/blob/master/google/rpc/status.proto)
+// containing only `code` and `message`fields.
// * For Video Classification:
// In the created directory a video_classification.csv file, and a .JSON
// file per each video classification requested in the input (i.e. each
@@ -957,6 +998,54 @@
// for each frame of the video time segment the file is assigned to in
// video_object_tracking.csv. All AnnotationPayload protos will have
// video_object_tracking field set.
+// * For Text Classification:
+// In the created directory files `text_classification_1.jsonl`,
+// `text_classification_2.jsonl`,...,`text_classification_N.jsonl`
+// will be created, where N may be 1, and depends on the
+// total number of inputs and annotations found.
+//
+// Each .JSONL file will contain, per line, a JSON representation of a
+// proto that wraps input text snippet or input text file and a list of
+// zero or more AnnotationPayload protos (called annotations), which
+// have classification detail populated. A single text snippet or file
+// will be listed only once with all its annotations, and its
+// annotations will never be split across files.
+//
+// If prediction for any text snippet or file failed (partially or
+// completely), then additional `errors_1.jsonl`, `errors_2.jsonl`,...,
+// `errors_N.jsonl` files will be created (N depends on total number of
+// failed predictions). These files will have a JSON representation of a
+// proto that wraps input text snippet or input text file followed by
+// exactly one
+//
+// [`google.rpc.Status`](https:
+// //github.com/googleapis/googleapis/blob/master/google/rpc/status.proto)
+// containing only `code` and `message`.
+//
+// * For Text Sentiment:
+// In the created directory files `text_sentiment_1.jsonl`,
+// `text_sentiment_2.jsonl`,...,`text_sentiment_N.jsonl`
+// will be created, where N may be 1, and depends on the
+// total number of inputs and annotations found.
+//
+// Each .JSONL file will contain, per line, a JSON representation of a
+// proto that wraps input text snippet or input text file and a list of
+// zero or more AnnotationPayload protos (called annotations), which
+// have text_sentiment detail populated. A single text snippet or file
+// will be listed only once with all its annotations, and its
+// annotations will never be split across files.
+//
+// If prediction for any text snippet or file failed (partially or
+// completely), then additional `errors_1.jsonl`, `errors_2.jsonl`,...,
+// `errors_N.jsonl` files will be created (N depends on total number of
+// failed predictions). These files will have a JSON representation of a
+// proto that wraps input text snippet or input text file followed by
+// exactly one
+//
+// [`google.rpc.Status`](https:
+// //github.com/googleapis/googleapis/blob/master/google/rpc/status.proto)
+// containing only `code` and `message`.
+//
// * For Text Extraction:
// In the created directory files `text_extraction_1.jsonl`,
// `text_extraction_2.jsonl`,...,`text_extraction_N.jsonl`
@@ -966,7 +1055,8 @@
// used inline text, or documents.
// If input was inline, then each .JSONL file will contain, per line,
// a JSON representation of a proto that wraps given in request text
-// snippet's "id" : "<id_value>" followed by a list of zero or more
+// snippet's "id" (if specified), followed by input text snippet,
+// and a list of zero or more
// AnnotationPayload protos (called annotations), which have
// text_extraction detail populated. A single text snippet will be
// listed only once with all its annotations, and its annotations will
@@ -1194,7 +1284,10 @@
// * docker - Used for Docker containers. Use the params field to customize
// the container. The container is verified to work correctly on
// ubuntu 16.04 operating system. See more at
- // [containers quickstart](https://cloud.google.com/vision/automl/docs/containers-gcs-quickstart)
+ // [containers
+ //
+ // quickstart](https:
+ // //cloud.google.com/vision/automl/docs/containers-gcs-quickstart)
// * core_ml - Used for iOS mobile devices.
ModelFormat string `protobuf:"bytes,4,opt,name=model_format,json=modelFormat,proto3" json:"model_format,omitempty"`
// Additional model-type and format specific parameters describing the
diff --git a/googleapis/cloud/automl/v1beta1/model.pb.go b/googleapis/cloud/automl/v1beta1/model.pb.go
index 3e55290..acfc698 100644
--- a/googleapis/cloud/automl/v1beta1/model.pb.go
+++ b/googleapis/cloud/automl/v1beta1/model.pb.go
@@ -72,8 +72,7 @@
// *Model_TablesModelMetadata
// *Model_TextSentimentModelMetadata
ModelMetadata isModel_ModelMetadata `protobuf_oneof:"model_metadata"`
- // Output only.
- // Resource name of the model.
+ // Output only. Resource name of the model.
// Format: `projects/{project_id}/locations/{location_id}/models/{model_id}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// Required. The name of the model to show in the interface. The name can be
@@ -81,15 +80,12 @@
// and a-z, underscores
// (_), and ASCII digits 0-9. It must start with a letter.
DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
- // Required.
- // The resource ID of the dataset used to create the model. The dataset must
+ // Required. The resource ID of the dataset used to create the model. The dataset must
// come from the same ancestor project and location.
DatasetId string `protobuf:"bytes,3,opt,name=dataset_id,json=datasetId,proto3" json:"dataset_id,omitempty"`
- // Output only.
- // Timestamp when the model training finished and can be used for prediction.
+ // Output only. Timestamp when the model training finished and can be used for prediction.
CreateTime *timestamp.Timestamp `protobuf:"bytes,7,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
- // Output only.
- // Timestamp when this model was last updated.
+ // Output only. Timestamp when this model was last updated.
UpdateTime *timestamp.Timestamp `protobuf:"bytes,11,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
// Output only. Deployment state of the model. A model can only serve
// prediction requests after it gets deployed.
diff --git a/googleapis/cloud/automl/v1beta1/model_evaluation.pb.go b/googleapis/cloud/automl/v1beta1/model_evaluation.pb.go
index 07b69e0..dda0d69 100644
--- a/googleapis/cloud/automl/v1beta1/model_evaluation.pb.go
+++ b/googleapis/cloud/automl/v1beta1/model_evaluation.pb.go
@@ -36,14 +36,12 @@
// *ModelEvaluation_TextSentimentEvaluationMetrics
// *ModelEvaluation_TextExtractionEvaluationMetrics
Metrics isModelEvaluation_Metrics `protobuf_oneof:"metrics"`
- // Output only.
- // Resource name of the model evaluation.
+ // Output only. Resource name of the model evaluation.
// Format:
//
// `projects/{project_id}/locations/{location_id}/models/{model_id}/modelEvaluations/{model_evaluation_id}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
- // Output only.
- // The ID of the annotation spec that the model evaluation applies to. The
+ // Output only. The ID of the annotation spec that the model evaluation applies to. The
// The ID is empty for the overall model evaluation.
// For Tables annotation specs in the dataset do not exist and this ID is
// always not set, but for CLASSIFICATION
@@ -54,7 +52,7 @@
// field is used.
AnnotationSpecId string `protobuf:"bytes,2,opt,name=annotation_spec_id,json=annotationSpecId,proto3" json:"annotation_spec_id,omitempty"`
// Output only. The value of
- // [display_name][google.cloud.automl.v1beta1.AnnotationSpec.dispay_name] at
+ // [display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name] at
// the moment when the model was trained. Because this field returns a value
// at model training time, for different models trained from the same dataset,
// the values may differ, since display names could had been changed between
@@ -66,11 +64,9 @@
// are populated here.
// The display_name is empty for the overall model evaluation.
DisplayName string `protobuf:"bytes,15,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
- // Output only.
- // Timestamp when this model evaluation was created.
+ // Output only. Timestamp when this model evaluation was created.
CreateTime *timestamp.Timestamp `protobuf:"bytes,5,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
- // Output only.
- // The number of examples used for model evaluation, i.e. for
+ // Output only. The number of examples used for model evaluation, i.e. for
// which ground truth from time of model creation is compared against the
// predicted annotations created by the model.
// For overall ModelEvaluation (i.e. with annotation_spec_id not set) this is
diff --git a/googleapis/cloud/automl/v1beta1/prediction_service.pb.go b/googleapis/cloud/automl/v1beta1/prediction_service.pb.go
index 57410ed..b5e630c 100644
--- a/googleapis/cloud/automl/v1beta1/prediction_service.pb.go
+++ b/googleapis/cloud/automl/v1beta1/prediction_service.pb.go
@@ -29,8 +29,7 @@
type PredictRequest struct {
// Name of the model requested to serve the prediction.
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
- // Required.
- // Payload to perform a prediction on. The payload must match the
+ // Required. Payload to perform a prediction on. The payload must match the
// problem type that the model was trained to solve.
Payload *ExamplePayload `protobuf:"bytes,2,opt,name=payload,proto3" json:"payload,omitempty"`
// Additional domain-specific parameters, any string must be up to 25000
@@ -41,6 +40,14 @@
// `score_threshold` - (float) A value from 0.0 to 1.0. When the model
// makes predictions for an image, it will only produce results that have
// at least this confidence score. The default is 0.5.
+ //
+ // * For Image Object Detection:
+ // `score_threshold` - (float) When Model detects objects on the image,
+ // it will only produce bounding boxes which have at least this
+ // confidence score. Value in 0 to 1 range, default is 0.5.
+ // `max_bounding_box_count` - (int64) No more than this number of bounding
+ // boxes will be returned in the response. Default is 100, the
+ // requested value may be limited by server.
// * For Tables:
// `feature_importance` - (boolean) Whether
//
@@ -178,6 +185,27 @@
// Additional domain-specific parameters for the predictions, any string must
// be up to 25000 characters long.
//
+ // * For Text Classification:
+ //
+ // `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+ // makes predictions for a text snippet, it will only produce results
+ // that have at least this confidence score. The default is 0.5.
+ //
+ // * For Image Classification:
+ //
+ // `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+ // makes predictions for an image, it will only produce results that
+ // have at least this confidence score. The default is 0.5.
+ //
+ // * For Image Object Detection:
+ //
+ // `score_threshold` - (float) When Model detects objects on the image,
+ // it will only produce bounding boxes which have at least this
+ // confidence score. Value in 0 to 1 range, default is 0.5.
+ // `max_bounding_box_count` - (int64) No more than this number of bounding
+ // boxes will be produced per image. Default is 100, the
+ // requested value may be limited by server.
+ //
// * For Video Classification :
// `score_threshold` - (float) A value from 0.0 to 1.0. When the model
// makes predictions for a video, it will only produce results that
@@ -280,9 +308,19 @@
// [response][google.longrunning.Operation.response] of the operation returned
// by the [PredictionService.BatchPredict][google.cloud.automl.v1beta1.PredictionService.BatchPredict].
type BatchPredictResult struct {
- XXX_NoUnkeyedLiteral struct{} `json:"-"`
- XXX_unrecognized []byte `json:"-"`
- XXX_sizecache int32 `json:"-"`
+ // Additional domain-specific prediction response metadata.
+ //
+ // * For Image Object Detection:
+ // `max_bounding_box_count` - (int64) At most that many bounding boxes per
+ // image could have been returned.
+ //
+ // * For Video Object Tracking:
+ // `max_bounding_box_count` - (int64) At most that many bounding boxes per
+ // frame could have been returned.
+ Metadata map[string]string `protobuf:"bytes,1,rep,name=metadata,proto3" json:"metadata,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
+ XXX_NoUnkeyedLiteral struct{} `json:"-"`
+ XXX_unrecognized []byte `json:"-"`
+ XXX_sizecache int32 `json:"-"`
}
func (m *BatchPredictResult) Reset() { *m = BatchPredictResult{} }
@@ -310,6 +348,13 @@
var xxx_messageInfo_BatchPredictResult proto.InternalMessageInfo
+func (m *BatchPredictResult) GetMetadata() map[string]string {
+ if m != nil {
+ return m.Metadata
+ }
+ return nil
+}
+
func init() {
proto.RegisterType((*PredictRequest)(nil), "google.cloud.automl.v1beta1.PredictRequest")
proto.RegisterMapType((map[string]string)(nil), "google.cloud.automl.v1beta1.PredictRequest.ParamsEntry")
@@ -318,6 +363,7 @@
proto.RegisterType((*BatchPredictRequest)(nil), "google.cloud.automl.v1beta1.BatchPredictRequest")
proto.RegisterMapType((map[string]string)(nil), "google.cloud.automl.v1beta1.BatchPredictRequest.ParamsEntry")
proto.RegisterType((*BatchPredictResult)(nil), "google.cloud.automl.v1beta1.BatchPredictResult")
+ proto.RegisterMapType((map[string]string)(nil), "google.cloud.automl.v1beta1.BatchPredictResult.MetadataEntry")
}
func init() {
@@ -325,51 +371,52 @@
}
var fileDescriptor_59a9dba5da3c687d = []byte{
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+ // 718 bytes of a gzipped FileDescriptorProto
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}
// Reference imports to suppress errors if they are not otherwise used.
@@ -401,6 +448,8 @@
// up to 5MB. Not available for FORECASTING
//
// [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type].
+ // * Text Sentiment - TextSnippet, content up 500 characters, UTF-8
+ // encoded.
Predict(ctx context.Context, in *PredictRequest, opts ...grpc.CallOption) (*PredictResponse, error)
// Perform a batch prediction. Unlike the online [Predict][google.cloud.automl.v1beta1.PredictionService.Predict], batch
// prediction result won't be immediately available in the response. Instead,
@@ -409,9 +458,10 @@
// method. Once the operation is done, [BatchPredictResult][google.cloud.automl.v1beta1.BatchPredictResult] is returned in
// the [response][google.longrunning.Operation.response] field.
// Available for following ML problems:
+ // * Image Classification
+ // * Image Object Detection
// * Video Classification
- // * Video Object Tracking
- // * Text Extraction
+ // * Video Object Tracking * Text Extraction
// * Tables
BatchPredict(ctx context.Context, in *BatchPredictRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
}
@@ -461,6 +511,8 @@
// up to 5MB. Not available for FORECASTING
//
// [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type].
+ // * Text Sentiment - TextSnippet, content up 500 characters, UTF-8
+ // encoded.
Predict(context.Context, *PredictRequest) (*PredictResponse, error)
// Perform a batch prediction. Unlike the online [Predict][google.cloud.automl.v1beta1.PredictionService.Predict], batch
// prediction result won't be immediately available in the response. Instead,
@@ -469,9 +521,10 @@
// method. Once the operation is done, [BatchPredictResult][google.cloud.automl.v1beta1.BatchPredictResult] is returned in
// the [response][google.longrunning.Operation.response] field.
// Available for following ML problems:
+ // * Image Classification
+ // * Image Object Detection
// * Video Classification
- // * Video Object Tracking
- // * Text Extraction
+ // * Video Object Tracking * Text Extraction
// * Tables
BatchPredict(context.Context, *BatchPredictRequest) (*longrunning.Operation, error)
}
diff --git a/googleapis/cloud/automl/v1beta1/service.pb.go b/googleapis/cloud/automl/v1beta1/service.pb.go
index 2f3d7a6..4876d47 100644
--- a/googleapis/cloud/automl/v1beta1/service.pb.go
+++ b/googleapis/cloud/automl/v1beta1/service.pb.go
@@ -250,12 +250,7 @@
type UpdateDatasetRequest struct {
// The dataset which replaces the resource on the server.
Dataset *Dataset `protobuf:"bytes,1,opt,name=dataset,proto3" json:"dataset,omitempty"`
- // The update mask applies to the resource. For the `FieldMask` definition,
- // see
- //
- // https:
- // //developers.google.com/protocol-buffers
- // // /docs/reference/google.protobuf#fieldmask
+ // The update mask applies to the resource.
UpdateMask *field_mask.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
@@ -671,12 +666,7 @@
type UpdateTableSpecRequest struct {
// The table spec which replaces the resource on the server.
TableSpec *TableSpec `protobuf:"bytes,1,opt,name=table_spec,json=tableSpec,proto3" json:"table_spec,omitempty"`
- // The update mask applies to the resource. For the `FieldMask` definition,
- // see
- //
- // https:
- // //developers.google.com/protocol-buffers
- // // /docs/reference/google.protobuf#fieldmask
+ // The update mask applies to the resource.
UpdateMask *field_mask.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
@@ -908,12 +898,7 @@
type UpdateColumnSpecRequest struct {
// The column spec which replaces the resource on the server.
ColumnSpec *ColumnSpec `protobuf:"bytes,1,opt,name=column_spec,json=columnSpec,proto3" json:"column_spec,omitempty"`
- // The update mask applies to the resource. For the `FieldMask` definition,
- // see
- //
- // https:
- // //developers.google.com/protocol-buffers
- // // /docs/reference/google.protobuf#fieldmask
+ // The update mask applies to the resource.
UpdateMask *field_mask.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
@@ -1852,8 +1837,7 @@
// [node_number][google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number])
// will reset the deployment state without pausing the model's availability.
//
- // Only applicable for Text Classification, Image Object Detection and Tables;
- // all other domains manage deployment automatically.
+ // Only applicable for Text Classification, Image Object Detection and Tables; all other domains manage deployment automatically.
//
// Returns an empty response in the
// [response][google.longrunning.Operation.response] field when it completes.
@@ -2187,8 +2171,7 @@
// [node_number][google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number])
// will reset the deployment state without pausing the model's availability.
//
- // Only applicable for Text Classification, Image Object Detection and Tables;
- // all other domains manage deployment automatically.
+ // Only applicable for Text Classification, Image Object Detection and Tables; all other domains manage deployment automatically.
//
// Returns an empty response in the
// [response][google.longrunning.Operation.response] field when it completes.
diff --git a/googleapis/cloud/automl/v1beta1/table_spec.pb.go b/googleapis/cloud/automl/v1beta1/table_spec.pb.go
index 0895b76..c9781b1 100644
--- a/googleapis/cloud/automl/v1beta1/table_spec.pb.go
+++ b/googleapis/cloud/automl/v1beta1/table_spec.pb.go
@@ -48,6 +48,9 @@
TimeColumnSpecId string `protobuf:"bytes,2,opt,name=time_column_spec_id,json=timeColumnSpecId,proto3" json:"time_column_spec_id,omitempty"`
// Output only. The number of rows (i.e. examples) in the table.
RowCount int64 `protobuf:"varint,3,opt,name=row_count,json=rowCount,proto3" json:"row_count,omitempty"`
+ // Output only. The number of valid rows (i.e. without values that don't match
+ // DataType-s of their columns).
+ ValidRowCount int64 `protobuf:"varint,4,opt,name=valid_row_count,json=validRowCount,proto3" json:"valid_row_count,omitempty"`
// Output only. The number of columns of the table. That is, the number of
// child ColumnSpec-s.
ColumnCount int64 `protobuf:"varint,7,opt,name=column_count,json=columnCount,proto3" json:"column_count,omitempty"`
@@ -108,6 +111,13 @@
return 0
}
+func (m *TableSpec) GetValidRowCount() int64 {
+ if m != nil {
+ return m.ValidRowCount
+ }
+ return 0
+}
+
func (m *TableSpec) GetColumnCount() int64 {
if m != nil {
return m.ColumnCount
@@ -138,27 +148,28 @@
}
var fileDescriptor_67819f165062ce17 = []byte{
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+ // 360 bytes of a gzipped FileDescriptorProto
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}
diff --git a/googleapis/cloud/automl/v1beta1/tables.pb.go b/googleapis/cloud/automl/v1beta1/tables.pb.go
index f076bd0..73c0ef1 100644
--- a/googleapis/cloud/automl/v1beta1/tables.pb.go
+++ b/googleapis/cloud/automl/v1beta1/tables.pb.go
@@ -32,9 +32,12 @@
// training & prediction target.
// This column must be non-nullable and have one of following data types
// (otherwise model creation will error):
+ //
// * CATEGORY
+ //
// * FLOAT64
- // Furthermore, if the type is CATEGORY , then only up to
+ //
+ // If the type is CATEGORY , only up to
// 100 unique values may exist in that column across all rows.
//
// NOTE: Updates of this field will instantly affect any other users
@@ -75,11 +78,12 @@
// This field may be stale, see the stats_update_time field for
// for the timestamp at which these stats were last updated.
TargetColumnCorrelations map[string]*CorrelationStats `protobuf:"bytes,6,rep,name=target_column_correlations,json=targetColumnCorrelations,proto3" json:"target_column_correlations,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
- // The most recent timestamp when target_column_correlations field and all
- // descendant ColumnSpec.data_stats and ColumnSpec.top_correlated_columns
- // fields were last (re-)generated. Any changes that happened to the dataset
- // afterwards are not reflected in these fields values. The regeneration
- // happens in the background on a best effort basis.
+ // Output only. The most recent timestamp when target_column_correlations
+ // field and all descendant ColumnSpec.data_stats and
+ // ColumnSpec.top_correlated_columns fields were last (re-)generated. Any
+ // changes that happened to the dataset afterwards are not reflected in these
+ // fields values. The regeneration happens in the background on a best effort
+ // basis.
StatsUpdateTime *timestamp.Timestamp `protobuf:"bytes,7,opt,name=stats_update_time,json=statsUpdateTime,proto3" json:"stats_update_time,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
@@ -177,12 +181,16 @@
//
// [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
// must never be included here.
+ //
// Only 3 fields are used:
- // name - May be set on CreateModel, if set only the columns specified are
- // used, otherwise all primary table's columns (except the ones listed
- // above) are used for the training and prediction input.
- // display_name - Output only.
- // data_type - Output only.
+ //
+ // * name - May be set on CreateModel, if set only the columns specified are
+ // used, otherwise all primary table's columns (except the ones listed
+ // above) are used for the training and prediction input.
+ //
+ // * display_name - Output only.
+ //
+ // * data_type - Output only.
InputFeatureColumnSpecs []*ColumnSpec `protobuf:"bytes,3,rep,name=input_feature_column_specs,json=inputFeatureColumnSpecs,proto3" json:"input_feature_column_specs,omitempty"`
// Objective function the model is optimizing towards. The training process
// creates a model that maximizes/minimizes the value of the objective
@@ -209,19 +217,7 @@
// "MINIMIZE_RMSE" (default) - Minimize root-mean-squared error (RMSE).
// "MINIMIZE_MAE" - Minimize mean-absolute error (MAE).
// "MINIMIZE_RMSLE" - Minimize root-mean-squared log error (RMSLE).
- //
- // FORECASTING:
- // "MINIMIZE_RMSE" (default) - Minimize root-mean-squared error (RMSE).
- // "MINIMIZE_MAE" - Minimize mean-absolute error (MAE).
OptimizationObjective string `protobuf:"bytes,4,opt,name=optimization_objective,json=optimizationObjective,proto3" json:"optimization_objective,omitempty"`
- // Additional optimization objective configuration. Required for
- // `MAXIMIZE_PRECISION_AT_RECALL` and `MAXIMIZE_RECALL_AT_PRECISION`,
- // otherwise unused.
- //
- // Types that are valid to be assigned to AdditionalOptimizationObjectiveConfig:
- // *TablesModelMetadata_OptimizationObjectiveRecallValue
- // *TablesModelMetadata_OptimizationObjectivePrecisionValue
- AdditionalOptimizationObjectiveConfig isTablesModelMetadata_AdditionalOptimizationObjectiveConfig `protobuf_oneof:"additional_optimization_objective_config"`
// Output only. Auxiliary information for each of the
// input_feature_column_specs with respect to this particular model.
TablesModelColumnInfo []*TablesModelColumnInfo `protobuf:"bytes,5,rep,name=tables_model_column_info,json=tablesModelColumnInfo,proto3" json:"tables_model_column_info,omitempty"`
@@ -299,45 +295,6 @@
return ""
}
-type isTablesModelMetadata_AdditionalOptimizationObjectiveConfig interface {
- isTablesModelMetadata_AdditionalOptimizationObjectiveConfig()
-}
-
-type TablesModelMetadata_OptimizationObjectiveRecallValue struct {
- OptimizationObjectiveRecallValue float32 `protobuf:"fixed32,17,opt,name=optimization_objective_recall_value,json=optimizationObjectiveRecallValue,proto3,oneof"`
-}
-
-type TablesModelMetadata_OptimizationObjectivePrecisionValue struct {
- OptimizationObjectivePrecisionValue float32 `protobuf:"fixed32,18,opt,name=optimization_objective_precision_value,json=optimizationObjectivePrecisionValue,proto3,oneof"`
-}
-
-func (*TablesModelMetadata_OptimizationObjectiveRecallValue) isTablesModelMetadata_AdditionalOptimizationObjectiveConfig() {
-}
-
-func (*TablesModelMetadata_OptimizationObjectivePrecisionValue) isTablesModelMetadata_AdditionalOptimizationObjectiveConfig() {
-}
-
-func (m *TablesModelMetadata) GetAdditionalOptimizationObjectiveConfig() isTablesModelMetadata_AdditionalOptimizationObjectiveConfig {
- if m != nil {
- return m.AdditionalOptimizationObjectiveConfig
- }
- return nil
-}
-
-func (m *TablesModelMetadata) GetOptimizationObjectiveRecallValue() float32 {
- if x, ok := m.GetAdditionalOptimizationObjectiveConfig().(*TablesModelMetadata_OptimizationObjectiveRecallValue); ok {
- return x.OptimizationObjectiveRecallValue
- }
- return 0
-}
-
-func (m *TablesModelMetadata) GetOptimizationObjectivePrecisionValue() float32 {
- if x, ok := m.GetAdditionalOptimizationObjectiveConfig().(*TablesModelMetadata_OptimizationObjectivePrecisionValue); ok {
- return x.OptimizationObjectivePrecisionValue
- }
- return 0
-}
-
func (m *TablesModelMetadata) GetTablesModelColumnInfo() []*TablesModelColumnInfo {
if m != nil {
return m.TablesModelColumnInfo
@@ -366,14 +323,6 @@
return false
}
-// XXX_OneofWrappers is for the internal use of the proto package.
-func (*TablesModelMetadata) XXX_OneofWrappers() []interface{} {
- return []interface{}{
- (*TablesModelMetadata_OptimizationObjectiveRecallValue)(nil),
- (*TablesModelMetadata_OptimizationObjectivePrecisionValue)(nil),
- }
-}
-
// Contains annotation details specific to Tables.
type TablesAnnotation struct {
// Output only. A confidence estimate between 0.0 and 1.0, inclusive. A higher
@@ -393,9 +342,11 @@
//
// [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
// The value depends on the column's DataType:
- // CATEGORY - the predicted (with the above confidence `score`) CATEGORY
- // value.
- // FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
+ //
+ // * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
+ // value.
+ //
+ // * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
Value *_struct.Value `protobuf:"bytes,2,opt,name=value,proto3" json:"value,omitempty"`
// Output only. Auxiliary information for each of the model's
//
@@ -476,9 +427,7 @@
// Output only. The display name of the column (same as the display_name of
// its ColumnSpec).
ColumnDisplayName string `protobuf:"bytes,2,opt,name=column_display_name,json=columnDisplayName,proto3" json:"column_display_name,omitempty"`
- // Output only.
- //
- // When given as part of a Model (always populated):
+ // Output only. When given as part of a Model (always populated):
// Measurement of how much model predictions correctness on the TEST data
// depend on values in this column. A value between 0 and 1, higher means
// higher influence. These values are normalized - for all input feature
@@ -559,64 +508,60 @@
}
var fileDescriptor_a4edb25480826735 = []byte{
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+ 0x3c, 0xf1, 0xd8, 0xee, 0x6f, 0x2d, 0xb2, 0xee, 0xae, 0x79, 0x70, 0xb9, 0x84, 0xc2, 0x7b, 0x64,
+ 0x55, 0xa7, 0x52, 0x01, 0x0e, 0x68, 0x2b, 0x76, 0x0f, 0xe1, 0x8f, 0x64, 0xb3, 0x54, 0x90, 0xb1,
+ 0x14, 0x23, 0x60, 0xc2, 0x80, 0xba, 0xa0, 0x1c, 0x13, 0x58, 0x1b, 0xf6, 0x1b, 0x8d, 0x3c, 0x94,
+ 0xd5, 0x84, 0x43, 0x6c, 0x57, 0xad, 0xdd, 0x50, 0x75, 0x91, 0x23, 0x5f, 0x23, 0x7c, 0xb4, 0x38,
+ 0xfd, 0x5b, 0xd7, 0x3e, 0xb6, 0x97, 0x16, 0xf5, 0x63, 0xde, 0x18, 0x6b, 0xfb, 0x2d, 0xc7, 0xba,
+ 0xfb, 0x7b, 0x50, 0x6f, 0xe2, 0xe5, 0xc0, 0xfb, 0x64, 0x7d, 0x7e, 0xd3, 0x09, 0x5a, 0x80, 0xff,
+ 0xa2, 0xdf, 0x4f, 0x2f, 0x67, 0xf7, 0x39, 0x2d, 0x20, 0x8c, 0xc8, 0xa6, 0x67, 0x66, 0x4c, 0x97,
+ 0x9c, 0xce, 0x1c, 0xd9, 0xad, 0xdf, 0x0d, 0x07, 0x1d, 0x3a, 0x04, 0xf9, 0x7b, 0x24, 0xac, 0x3f,
+ 0x27, 0x66, 0xff, 0x73, 0x0c, 0x15, 0x29, 0xe0, 0xea, 0x6d, 0xc5, 0x1b, 0x1e, 0x39, 0xba, 0x04,
+ 0x9e, 0xfc, 0x11, 0x90, 0x87, 0xa9, 0x2c, 0x9a, 0xee, 0xfc, 0x22, 0xf8, 0xe9, 0xc0, 0xc3, 0xb9,
+ 0xe4, 0x54, 0xe4, 0x91, 0x54, 0xf9, 0x20, 0x07, 0x81, 0x0e, 0x0f, 0x1c, 0x44, 0x4b, 0xa6, 0x6f,
+ 0xfc, 0xeb, 0xfb, 0xca, 0x3d, 0xfe, 0xdd, 0xda, 0xfe, 0x16, 0x89, 0xe7, 0x63, 0x4b, 0x3a, 0x3f,
+ 0xa8, 0x8c, 0x3c, 0xe6, 0xe7, 0x2f, 0x1d, 0xe9, 0x9f, 0xd6, 0xc7, 0x0e, 0x1d, 0x8d, 0x10, 0x1e,
+ 0x8d, 0x10, 0xff, 0x7e, 0x34, 0xf2, 0x84, 0xc9, 0x1d, 0x3c, 0xec, 0xb3, 0x7f, 0x03, 0x00, 0x00,
+ 0xff, 0xff, 0x5f, 0x1b, 0xca, 0x58, 0x94, 0x08, 0x00, 0x00,
}
diff --git a/googleapis/cloud/automl/v1beta1/text.pb.go b/googleapis/cloud/automl/v1beta1/text.pb.go
index 6c9cfca..6ee86fd 100644
--- a/googleapis/cloud/automl/v1beta1/text.pb.go
+++ b/googleapis/cloud/automl/v1beta1/text.pb.go
@@ -24,8 +24,7 @@
// Dataset metadata for classification.
type TextClassificationDatasetMetadata struct {
- // Required.
- // Type of the classification problem.
+ // Required. Type of the classification problem.
ClassificationType ClassificationType `protobuf:"varint,1,opt,name=classification_type,json=classificationType,proto3,enum=google.cloud.automl.v1beta1.ClassificationType" json:"classification_type,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
@@ -162,8 +161,7 @@
// Dataset metadata for text sentiment.
type TextSentimentDatasetMetadata struct {
- // Required.
- // A sentiment is expressed as an integer ordinal, where higher value
+ // Required. A sentiment is expressed as an integer ordinal, where higher value
// means a more positive sentiment. The range of sentiments that will be used
// is between 0 and sentiment_max (inclusive on both ends), and all the values
// in the range must be represented in the dataset before a model can be
diff --git a/googleapis/cloud/bigquery/v2/model.pb.go b/googleapis/cloud/bigquery/v2/model.pb.go
index 6e5cf15..7e93b26 100644
--- a/googleapis/cloud/bigquery/v2/model.pb.go
+++ b/googleapis/cloud/bigquery/v2/model.pb.go
@@ -36,7 +36,7 @@
Model_LINEAR_REGRESSION Model_ModelType = 1
// Logistic regression based classification model.
Model_LOGISTIC_REGRESSION Model_ModelType = 2
- // [Beta] K-means clustering model.
+ // K-means clustering model.
Model_KMEANS Model_ModelType = 3
// [Beta] An imported TensorFlow model.
Model_TENSORFLOW Model_ModelType = 6
@@ -234,6 +234,39 @@
return fileDescriptor_0bf703c728e4b09a, []int{0, 5}
}
+// Indicates the method used to initialize the centroids for KMeans
+// clustering algorithm.
+type Model_KmeansEnums_KmeansInitializationMethod int32
+
+const (
+ Model_KmeansEnums_KMEANS_INITIALIZATION_METHOD_UNSPECIFIED Model_KmeansEnums_KmeansInitializationMethod = 0
+ // Initializes the centroids randomly.
+ Model_KmeansEnums_RANDOM Model_KmeansEnums_KmeansInitializationMethod = 1
+ // Initializes the centroids using data specified in
+ // kmeans_initialization_column.
+ Model_KmeansEnums_CUSTOM Model_KmeansEnums_KmeansInitializationMethod = 2
+)
+
+var Model_KmeansEnums_KmeansInitializationMethod_name = map[int32]string{
+ 0: "KMEANS_INITIALIZATION_METHOD_UNSPECIFIED",
+ 1: "RANDOM",
+ 2: "CUSTOM",
+}
+
+var Model_KmeansEnums_KmeansInitializationMethod_value = map[string]int32{
+ "KMEANS_INITIALIZATION_METHOD_UNSPECIFIED": 0,
+ "RANDOM": 1,
+ "CUSTOM": 2,
+}
+
+func (x Model_KmeansEnums_KmeansInitializationMethod) String() string {
+ return proto.EnumName(Model_KmeansEnums_KmeansInitializationMethod_name, int32(x))
+}
+
+func (Model_KmeansEnums_KmeansInitializationMethod) EnumDescriptor() ([]byte, []int) {
+ return fileDescriptor_0bf703c728e4b09a, []int{0, 0, 0}
+}
+
type Model struct {
// Output only. A hash of this resource.
Etag string `protobuf:"bytes,1,opt,name=etag,proto3" json:"etag,omitempty"`
@@ -396,7 +429,39 @@
return nil
}
-// Evaluation metrics for regression models.
+type Model_KmeansEnums struct {
+ XXX_NoUnkeyedLiteral struct{} `json:"-"`
+ XXX_unrecognized []byte `json:"-"`
+ XXX_sizecache int32 `json:"-"`
+}
+
+func (m *Model_KmeansEnums) Reset() { *m = Model_KmeansEnums{} }
+func (m *Model_KmeansEnums) String() string { return proto.CompactTextString(m) }
+func (*Model_KmeansEnums) ProtoMessage() {}
+func (*Model_KmeansEnums) Descriptor() ([]byte, []int) {
+ return fileDescriptor_0bf703c728e4b09a, []int{0, 0}
+}
+
+func (m *Model_KmeansEnums) XXX_Unmarshal(b []byte) error {
+ return xxx_messageInfo_Model_KmeansEnums.Unmarshal(m, b)
+}
+func (m *Model_KmeansEnums) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
+ return xxx_messageInfo_Model_KmeansEnums.Marshal(b, m, deterministic)
+}
+func (m *Model_KmeansEnums) XXX_Merge(src proto.Message) {
+ xxx_messageInfo_Model_KmeansEnums.Merge(m, src)
+}
+func (m *Model_KmeansEnums) XXX_Size() int {
+ return xxx_messageInfo_Model_KmeansEnums.Size(m)
+}
+func (m *Model_KmeansEnums) XXX_DiscardUnknown() {
+ xxx_messageInfo_Model_KmeansEnums.DiscardUnknown(m)
+}
+
+var xxx_messageInfo_Model_KmeansEnums proto.InternalMessageInfo
+
+// Evaluation metrics for regression and explicit feedback type matrix
+// factorization models.
type Model_RegressionMetrics struct {
// Mean absolute error.
MeanAbsoluteError *wrappers.DoubleValue `protobuf:"bytes,1,opt,name=mean_absolute_error,json=meanAbsoluteError,proto3" json:"mean_absolute_error,omitempty"`
@@ -417,7 +482,7 @@
func (m *Model_RegressionMetrics) String() string { return proto.CompactTextString(m) }
func (*Model_RegressionMetrics) ProtoMessage() {}
func (*Model_RegressionMetrics) Descriptor() ([]byte, []int) {
- return fileDescriptor_0bf703c728e4b09a, []int{0, 0}
+ return fileDescriptor_0bf703c728e4b09a, []int{0, 1}
}
func (m *Model_RegressionMetrics) XXX_Unmarshal(b []byte) error {
@@ -512,7 +577,7 @@
func (m *Model_AggregateClassificationMetrics) String() string { return proto.CompactTextString(m) }
func (*Model_AggregateClassificationMetrics) ProtoMessage() {}
func (*Model_AggregateClassificationMetrics) Descriptor() ([]byte, []int) {
- return fileDescriptor_0bf703c728e4b09a, []int{0, 1}
+ return fileDescriptor_0bf703c728e4b09a, []int{0, 2}
}
func (m *Model_AggregateClassificationMetrics) XXX_Unmarshal(b []byte) error {
@@ -601,7 +666,7 @@
func (m *Model_BinaryClassificationMetrics) String() string { return proto.CompactTextString(m) }
func (*Model_BinaryClassificationMetrics) ProtoMessage() {}
func (*Model_BinaryClassificationMetrics) Descriptor() ([]byte, []int) {
- return fileDescriptor_0bf703c728e4b09a, []int{0, 2}
+ return fileDescriptor_0bf703c728e4b09a, []int{0, 3}
}
func (m *Model_BinaryClassificationMetrics) XXX_Unmarshal(b []byte) error {
@@ -685,7 +750,7 @@
}
func (*Model_BinaryClassificationMetrics_BinaryConfusionMatrix) ProtoMessage() {}
func (*Model_BinaryClassificationMetrics_BinaryConfusionMatrix) Descriptor() ([]byte, []int) {
- return fileDescriptor_0bf703c728e4b09a, []int{0, 2, 0}
+ return fileDescriptor_0bf703c728e4b09a, []int{0, 3, 0}
}
func (m *Model_BinaryClassificationMetrics_BinaryConfusionMatrix) XXX_Unmarshal(b []byte) error {
@@ -784,7 +849,7 @@
func (m *Model_MultiClassClassificationMetrics) String() string { return proto.CompactTextString(m) }
func (*Model_MultiClassClassificationMetrics) ProtoMessage() {}
func (*Model_MultiClassClassificationMetrics) Descriptor() ([]byte, []int) {
- return fileDescriptor_0bf703c728e4b09a, []int{0, 3}
+ return fileDescriptor_0bf703c728e4b09a, []int{0, 4}
}
func (m *Model_MultiClassClassificationMetrics) XXX_Unmarshal(b []byte) error {
@@ -839,7 +904,7 @@
}
func (*Model_MultiClassClassificationMetrics_ConfusionMatrix) ProtoMessage() {}
func (*Model_MultiClassClassificationMetrics_ConfusionMatrix) Descriptor() ([]byte, []int) {
- return fileDescriptor_0bf703c728e4b09a, []int{0, 3, 0}
+ return fileDescriptor_0bf703c728e4b09a, []int{0, 4, 0}
}
func (m *Model_MultiClassClassificationMetrics_ConfusionMatrix) XXX_Unmarshal(b []byte) error {
@@ -895,7 +960,7 @@
}
func (*Model_MultiClassClassificationMetrics_ConfusionMatrix_Entry) ProtoMessage() {}
func (*Model_MultiClassClassificationMetrics_ConfusionMatrix_Entry) Descriptor() ([]byte, []int) {
- return fileDescriptor_0bf703c728e4b09a, []int{0, 3, 0, 0}
+ return fileDescriptor_0bf703c728e4b09a, []int{0, 4, 0, 0}
}
func (m *Model_MultiClassClassificationMetrics_ConfusionMatrix_Entry) XXX_Unmarshal(b []byte) error {
@@ -949,7 +1014,7 @@
}
func (*Model_MultiClassClassificationMetrics_ConfusionMatrix_Row) ProtoMessage() {}
func (*Model_MultiClassClassificationMetrics_ConfusionMatrix_Row) Descriptor() ([]byte, []int) {
- return fileDescriptor_0bf703c728e4b09a, []int{0, 3, 0, 1}
+ return fileDescriptor_0bf703c728e4b09a, []int{0, 4, 0, 1}
}
func (m *Model_MultiClassClassificationMetrics_ConfusionMatrix_Row) XXX_Unmarshal(b []byte) error {
@@ -989,17 +1054,19 @@
// Davies-Bouldin index.
DaviesBouldinIndex *wrappers.DoubleValue `protobuf:"bytes,1,opt,name=davies_bouldin_index,json=daviesBouldinIndex,proto3" json:"davies_bouldin_index,omitempty"`
// Mean of squared distances between each sample to its cluster centroid.
- MeanSquaredDistance *wrappers.DoubleValue `protobuf:"bytes,2,opt,name=mean_squared_distance,json=meanSquaredDistance,proto3" json:"mean_squared_distance,omitempty"`
- XXX_NoUnkeyedLiteral struct{} `json:"-"`
- XXX_unrecognized []byte `json:"-"`
- XXX_sizecache int32 `json:"-"`
+ MeanSquaredDistance *wrappers.DoubleValue `protobuf:"bytes,2,opt,name=mean_squared_distance,json=meanSquaredDistance,proto3" json:"mean_squared_distance,omitempty"`
+ // [Beta] Information for all clusters.
+ Clusters []*Model_ClusteringMetrics_Cluster `protobuf:"bytes,3,rep,name=clusters,proto3" json:"clusters,omitempty"`
+ XXX_NoUnkeyedLiteral struct{} `json:"-"`
+ XXX_unrecognized []byte `json:"-"`
+ XXX_sizecache int32 `json:"-"`
}
func (m *Model_ClusteringMetrics) Reset() { *m = Model_ClusteringMetrics{} }
func (m *Model_ClusteringMetrics) String() string { return proto.CompactTextString(m) }
func (*Model_ClusteringMetrics) ProtoMessage() {}
func (*Model_ClusteringMetrics) Descriptor() ([]byte, []int) {
- return fileDescriptor_0bf703c728e4b09a, []int{0, 4}
+ return fileDescriptor_0bf703c728e4b09a, []int{0, 5}
}
func (m *Model_ClusteringMetrics) XXX_Unmarshal(b []byte) error {
@@ -1034,6 +1101,271 @@
return nil
}
+func (m *Model_ClusteringMetrics) GetClusters() []*Model_ClusteringMetrics_Cluster {
+ if m != nil {
+ return m.Clusters
+ }
+ return nil
+}
+
+// Message containing the information about one cluster.
+type Model_ClusteringMetrics_Cluster struct {
+ // Centroid id.
+ CentroidId int64 `protobuf:"varint,1,opt,name=centroid_id,json=centroidId,proto3" json:"centroid_id,omitempty"`
+ // Values of highly variant features for this cluster.
+ FeatureValues []*Model_ClusteringMetrics_Cluster_FeatureValue `protobuf:"bytes,2,rep,name=feature_values,json=featureValues,proto3" json:"feature_values,omitempty"`
+ // Count of training data rows that were assigned to this cluster.
+ Count *wrappers.Int64Value `protobuf:"bytes,3,opt,name=count,proto3" json:"count,omitempty"`
+ XXX_NoUnkeyedLiteral struct{} `json:"-"`
+ XXX_unrecognized []byte `json:"-"`
+ XXX_sizecache int32 `json:"-"`
+}
+
+func (m *Model_ClusteringMetrics_Cluster) Reset() { *m = Model_ClusteringMetrics_Cluster{} }
+func (m *Model_ClusteringMetrics_Cluster) String() string { return proto.CompactTextString(m) }
+func (*Model_ClusteringMetrics_Cluster) ProtoMessage() {}
+func (*Model_ClusteringMetrics_Cluster) Descriptor() ([]byte, []int) {
+ return fileDescriptor_0bf703c728e4b09a, []int{0, 5, 0}
+}
+
+func (m *Model_ClusteringMetrics_Cluster) XXX_Unmarshal(b []byte) error {
+ return xxx_messageInfo_Model_ClusteringMetrics_Cluster.Unmarshal(m, b)
+}
+func (m *Model_ClusteringMetrics_Cluster) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
+ return xxx_messageInfo_Model_ClusteringMetrics_Cluster.Marshal(b, m, deterministic)
+}
+func (m *Model_ClusteringMetrics_Cluster) XXX_Merge(src proto.Message) {
+ xxx_messageInfo_Model_ClusteringMetrics_Cluster.Merge(m, src)
+}
+func (m *Model_ClusteringMetrics_Cluster) XXX_Size() int {
+ return xxx_messageInfo_Model_ClusteringMetrics_Cluster.Size(m)
+}
+func (m *Model_ClusteringMetrics_Cluster) XXX_DiscardUnknown() {
+ xxx_messageInfo_Model_ClusteringMetrics_Cluster.DiscardUnknown(m)
+}
+
+var xxx_messageInfo_Model_ClusteringMetrics_Cluster proto.InternalMessageInfo
+
+func (m *Model_ClusteringMetrics_Cluster) GetCentroidId() int64 {
+ if m != nil {
+ return m.CentroidId
+ }
+ return 0
+}
+
+func (m *Model_ClusteringMetrics_Cluster) GetFeatureValues() []*Model_ClusteringMetrics_Cluster_FeatureValue {
+ if m != nil {
+ return m.FeatureValues
+ }
+ return nil
+}
+
+func (m *Model_ClusteringMetrics_Cluster) GetCount() *wrappers.Int64Value {
+ if m != nil {
+ return m.Count
+ }
+ return nil
+}
+
+// Representative value of a single feature within the cluster.
+type Model_ClusteringMetrics_Cluster_FeatureValue struct {
+ // The feature column name.
+ FeatureColumn string `protobuf:"bytes,1,opt,name=feature_column,json=featureColumn,proto3" json:"feature_column,omitempty"`
+ // Types that are valid to be assigned to Value:
+ // *Model_ClusteringMetrics_Cluster_FeatureValue_NumericalValue
+ // *Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue_
+ Value isModel_ClusteringMetrics_Cluster_FeatureValue_Value `protobuf_oneof:"value"`
+ XXX_NoUnkeyedLiteral struct{} `json:"-"`
+ XXX_unrecognized []byte `json:"-"`
+ XXX_sizecache int32 `json:"-"`
+}
+
+func (m *Model_ClusteringMetrics_Cluster_FeatureValue) Reset() {
+ *m = Model_ClusteringMetrics_Cluster_FeatureValue{}
+}
+func (m *Model_ClusteringMetrics_Cluster_FeatureValue) String() string {
+ return proto.CompactTextString(m)
+}
+func (*Model_ClusteringMetrics_Cluster_FeatureValue) ProtoMessage() {}
+func (*Model_ClusteringMetrics_Cluster_FeatureValue) Descriptor() ([]byte, []int) {
+ return fileDescriptor_0bf703c728e4b09a, []int{0, 5, 0, 0}
+}
+
+func (m *Model_ClusteringMetrics_Cluster_FeatureValue) XXX_Unmarshal(b []byte) error {
+ return xxx_messageInfo_Model_ClusteringMetrics_Cluster_FeatureValue.Unmarshal(m, b)
+}
+func (m *Model_ClusteringMetrics_Cluster_FeatureValue) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
+ return xxx_messageInfo_Model_ClusteringMetrics_Cluster_FeatureValue.Marshal(b, m, deterministic)
+}
+func (m *Model_ClusteringMetrics_Cluster_FeatureValue) XXX_Merge(src proto.Message) {
+ xxx_messageInfo_Model_ClusteringMetrics_Cluster_FeatureValue.Merge(m, src)
+}
+func (m *Model_ClusteringMetrics_Cluster_FeatureValue) XXX_Size() int {
+ return xxx_messageInfo_Model_ClusteringMetrics_Cluster_FeatureValue.Size(m)
+}
+func (m *Model_ClusteringMetrics_Cluster_FeatureValue) XXX_DiscardUnknown() {
+ xxx_messageInfo_Model_ClusteringMetrics_Cluster_FeatureValue.DiscardUnknown(m)
+}
+
+var xxx_messageInfo_Model_ClusteringMetrics_Cluster_FeatureValue proto.InternalMessageInfo
+
+func (m *Model_ClusteringMetrics_Cluster_FeatureValue) GetFeatureColumn() string {
+ if m != nil {
+ return m.FeatureColumn
+ }
+ return ""
+}
+
+type isModel_ClusteringMetrics_Cluster_FeatureValue_Value interface {
+ isModel_ClusteringMetrics_Cluster_FeatureValue_Value()
+}
+
+type Model_ClusteringMetrics_Cluster_FeatureValue_NumericalValue struct {
+ NumericalValue *wrappers.DoubleValue `protobuf:"bytes,2,opt,name=numerical_value,json=numericalValue,proto3,oneof"`
+}
+
+type Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue_ struct {
+ CategoricalValue *Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue `protobuf:"bytes,3,opt,name=categorical_value,json=categoricalValue,proto3,oneof"`
+}
+
+func (*Model_ClusteringMetrics_Cluster_FeatureValue_NumericalValue) isModel_ClusteringMetrics_Cluster_FeatureValue_Value() {
+}
+
+func (*Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue_) isModel_ClusteringMetrics_Cluster_FeatureValue_Value() {
+}
+
+func (m *Model_ClusteringMetrics_Cluster_FeatureValue) GetValue() isModel_ClusteringMetrics_Cluster_FeatureValue_Value {
+ if m != nil {
+ return m.Value
+ }
+ return nil
+}
+
+func (m *Model_ClusteringMetrics_Cluster_FeatureValue) GetNumericalValue() *wrappers.DoubleValue {
+ if x, ok := m.GetValue().(*Model_ClusteringMetrics_Cluster_FeatureValue_NumericalValue); ok {
+ return x.NumericalValue
+ }
+ return nil
+}
+
+func (m *Model_ClusteringMetrics_Cluster_FeatureValue) GetCategoricalValue() *Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue {
+ if x, ok := m.GetValue().(*Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue_); ok {
+ return x.CategoricalValue
+ }
+ return nil
+}
+
+// XXX_OneofWrappers is for the internal use of the proto package.
+func (*Model_ClusteringMetrics_Cluster_FeatureValue) XXX_OneofWrappers() []interface{} {
+ return []interface{}{
+ (*Model_ClusteringMetrics_Cluster_FeatureValue_NumericalValue)(nil),
+ (*Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue_)(nil),
+ }
+}
+
+// Representative value of a categorical feature.
+type Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue struct {
+ // Counts of all categories for the categorical feature. If there are
+ // more than ten categories, we return top ten (by count) and return
+ // one more CategoryCount with category ‘_OTHER_’ and count as
+ // aggregate counts of remaining categories.
+ CategoryCounts []*Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue_CategoryCount `protobuf:"bytes,1,rep,name=category_counts,json=categoryCounts,proto3" json:"category_counts,omitempty"`
+ XXX_NoUnkeyedLiteral struct{} `json:"-"`
+ XXX_unrecognized []byte `json:"-"`
+ XXX_sizecache int32 `json:"-"`
+}
+
+func (m *Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue) Reset() {
+ *m = Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue{}
+}
+func (m *Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue) String() string {
+ return proto.CompactTextString(m)
+}
+func (*Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue) ProtoMessage() {}
+func (*Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue) Descriptor() ([]byte, []int) {
+ return fileDescriptor_0bf703c728e4b09a, []int{0, 5, 0, 0, 0}
+}
+
+func (m *Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue) XXX_Unmarshal(b []byte) error {
+ return xxx_messageInfo_Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue.Unmarshal(m, b)
+}
+func (m *Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
+ return xxx_messageInfo_Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue.Marshal(b, m, deterministic)
+}
+func (m *Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue) XXX_Merge(src proto.Message) {
+ xxx_messageInfo_Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue.Merge(m, src)
+}
+func (m *Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue) XXX_Size() int {
+ return xxx_messageInfo_Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue.Size(m)
+}
+func (m *Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue) XXX_DiscardUnknown() {
+ xxx_messageInfo_Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue.DiscardUnknown(m)
+}
+
+var xxx_messageInfo_Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue proto.InternalMessageInfo
+
+func (m *Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue) GetCategoryCounts() []*Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue_CategoryCount {
+ if m != nil {
+ return m.CategoryCounts
+ }
+ return nil
+}
+
+// Represents the count of a single category within the cluster.
+type Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue_CategoryCount struct {
+ // The name of category.
+ Category string `protobuf:"bytes,1,opt,name=category,proto3" json:"category,omitempty"`
+ // The count of training samples matching the category within the
+ // cluster.
+ Count *wrappers.Int64Value `protobuf:"bytes,2,opt,name=count,proto3" json:"count,omitempty"`
+ XXX_NoUnkeyedLiteral struct{} `json:"-"`
+ XXX_unrecognized []byte `json:"-"`
+ XXX_sizecache int32 `json:"-"`
+}
+
+func (m *Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue_CategoryCount) Reset() {
+ *m = Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue_CategoryCount{}
+}
+func (m *Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue_CategoryCount) String() string {
+ return proto.CompactTextString(m)
+}
+func (*Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue_CategoryCount) ProtoMessage() {}
+func (*Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue_CategoryCount) Descriptor() ([]byte, []int) {
+ return fileDescriptor_0bf703c728e4b09a, []int{0, 5, 0, 0, 0, 0}
+}
+
+func (m *Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue_CategoryCount) XXX_Unmarshal(b []byte) error {
+ return xxx_messageInfo_Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue_CategoryCount.Unmarshal(m, b)
+}
+func (m *Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue_CategoryCount) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
+ return xxx_messageInfo_Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue_CategoryCount.Marshal(b, m, deterministic)
+}
+func (m *Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue_CategoryCount) XXX_Merge(src proto.Message) {
+ xxx_messageInfo_Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue_CategoryCount.Merge(m, src)
+}
+func (m *Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue_CategoryCount) XXX_Size() int {
+ return xxx_messageInfo_Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue_CategoryCount.Size(m)
+}
+func (m *Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue_CategoryCount) XXX_DiscardUnknown() {
+ xxx_messageInfo_Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue_CategoryCount.DiscardUnknown(m)
+}
+
+var xxx_messageInfo_Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue_CategoryCount proto.InternalMessageInfo
+
+func (m *Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue_CategoryCount) GetCategory() string {
+ if m != nil {
+ return m.Category
+ }
+ return ""
+}
+
+func (m *Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue_CategoryCount) GetCount() *wrappers.Int64Value {
+ if m != nil {
+ return m.Count
+ }
+ return nil
+}
+
// Evaluation metrics of a model. These are either computed on all training
// data or just the eval data based on whether eval data was used during
// training. These are not present for imported models.
@@ -1053,7 +1385,7 @@
func (m *Model_EvaluationMetrics) String() string { return proto.CompactTextString(m) }
func (*Model_EvaluationMetrics) ProtoMessage() {}
func (*Model_EvaluationMetrics) Descriptor() ([]byte, []int) {
- return fileDescriptor_0bf703c728e4b09a, []int{0, 5}
+ return fileDescriptor_0bf703c728e4b09a, []int{0, 6}
}
func (m *Model_EvaluationMetrics) XXX_Unmarshal(b []byte) error {
@@ -1168,7 +1500,7 @@
func (m *Model_TrainingRun) String() string { return proto.CompactTextString(m) }
func (*Model_TrainingRun) ProtoMessage() {}
func (*Model_TrainingRun) Descriptor() ([]byte, []int) {
- return fileDescriptor_0bf703c728e4b09a, []int{0, 6}
+ return fileDescriptor_0bf703c728e4b09a, []int{0, 7}
}
func (m *Model_TrainingRun) XXX_Unmarshal(b []byte) error {
@@ -1267,25 +1599,30 @@
// Weights associated with each label class, for rebalancing the
// training data. Only applicable for classification models.
LabelClassWeights map[string]float64 `protobuf:"bytes,17,rep,name=label_class_weights,json=labelClassWeights,proto3" json:"label_class_weights,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"fixed64,2,opt,name=value,proto3"`
- // [Beta] Distance type for clustering models.
+ // Distance type for clustering models.
DistanceType Model_DistanceType `protobuf:"varint,20,opt,name=distance_type,json=distanceType,proto3,enum=google.cloud.bigquery.v2.Model_DistanceType" json:"distance_type,omitempty"`
- // [Beta] Number of clusters for clustering models.
+ // Number of clusters for clustering models.
NumClusters int64 `protobuf:"varint,21,opt,name=num_clusters,json=numClusters,proto3" json:"num_clusters,omitempty"`
// [Beta] Google Cloud Storage URI from which the model was imported. Only
// applicable for imported models.
ModelUri string `protobuf:"bytes,22,opt,name=model_uri,json=modelUri,proto3" json:"model_uri,omitempty"`
// Optimization strategy for training linear regression models.
OptimizationStrategy Model_OptimizationStrategy `protobuf:"varint,23,opt,name=optimization_strategy,json=optimizationStrategy,proto3,enum=google.cloud.bigquery.v2.Model_OptimizationStrategy" json:"optimization_strategy,omitempty"`
- XXX_NoUnkeyedLiteral struct{} `json:"-"`
- XXX_unrecognized []byte `json:"-"`
- XXX_sizecache int32 `json:"-"`
+ // The method used to initialize the centroids for kmeans algorithm.
+ KmeansInitializationMethod Model_KmeansEnums_KmeansInitializationMethod `protobuf:"varint,33,opt,name=kmeans_initialization_method,json=kmeansInitializationMethod,proto3,enum=google.cloud.bigquery.v2.Model_KmeansEnums_KmeansInitializationMethod" json:"kmeans_initialization_method,omitempty"`
+ // The column used to provide the initial centroids for kmeans algorithm
+ // when kmeans_initialization_method is CUSTOM.
+ KmeansInitializationColumn string `protobuf:"bytes,34,opt,name=kmeans_initialization_column,json=kmeansInitializationColumn,proto3" json:"kmeans_initialization_column,omitempty"`
+ XXX_NoUnkeyedLiteral struct{} `json:"-"`
+ XXX_unrecognized []byte `json:"-"`
+ XXX_sizecache int32 `json:"-"`
}
func (m *Model_TrainingRun_TrainingOptions) Reset() { *m = Model_TrainingRun_TrainingOptions{} }
func (m *Model_TrainingRun_TrainingOptions) String() string { return proto.CompactTextString(m) }
func (*Model_TrainingRun_TrainingOptions) ProtoMessage() {}
func (*Model_TrainingRun_TrainingOptions) Descriptor() ([]byte, []int) {
- return fileDescriptor_0bf703c728e4b09a, []int{0, 6, 0}
+ return fileDescriptor_0bf703c728e4b09a, []int{0, 7, 0}
}
func (m *Model_TrainingRun_TrainingOptions) XXX_Unmarshal(b []byte) error {
@@ -1439,6 +1776,20 @@
return Model_OPTIMIZATION_STRATEGY_UNSPECIFIED
}
+func (m *Model_TrainingRun_TrainingOptions) GetKmeansInitializationMethod() Model_KmeansEnums_KmeansInitializationMethod {
+ if m != nil {
+ return m.KmeansInitializationMethod
+ }
+ return Model_KmeansEnums_KMEANS_INITIALIZATION_METHOD_UNSPECIFIED
+}
+
+func (m *Model_TrainingRun_TrainingOptions) GetKmeansInitializationColumn() string {
+ if m != nil {
+ return m.KmeansInitializationColumn
+ }
+ return ""
+}
+
// Information about a single iteration of the training run.
type Model_TrainingRun_IterationResult struct {
// Index of the iteration, 0 based.
@@ -1451,7 +1802,7 @@
EvalLoss *wrappers.DoubleValue `protobuf:"bytes,6,opt,name=eval_loss,json=evalLoss,proto3" json:"eval_loss,omitempty"`
// Learn rate used for this iteration.
LearnRate float64 `protobuf:"fixed64,7,opt,name=learn_rate,json=learnRate,proto3" json:"learn_rate,omitempty"`
- // [Beta] Information about top clusters for clustering models.
+ // Information about top clusters for clustering models.
ClusterInfos []*Model_TrainingRun_IterationResult_ClusterInfo `protobuf:"bytes,8,rep,name=cluster_infos,json=clusterInfos,proto3" json:"cluster_infos,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
@@ -1462,7 +1813,7 @@
func (m *Model_TrainingRun_IterationResult) String() string { return proto.CompactTextString(m) }
func (*Model_TrainingRun_IterationResult) ProtoMessage() {}
func (*Model_TrainingRun_IterationResult) Descriptor() ([]byte, []int) {
- return fileDescriptor_0bf703c728e4b09a, []int{0, 6, 1}
+ return fileDescriptor_0bf703c728e4b09a, []int{0, 7, 1}
}
func (m *Model_TrainingRun_IterationResult) XXX_Unmarshal(b []byte) error {
@@ -1547,7 +1898,7 @@
}
func (*Model_TrainingRun_IterationResult_ClusterInfo) ProtoMessage() {}
func (*Model_TrainingRun_IterationResult_ClusterInfo) Descriptor() ([]byte, []int) {
- return fileDescriptor_0bf703c728e4b09a, []int{0, 6, 1, 0}
+ return fileDescriptor_0bf703c728e4b09a, []int{0, 7, 1, 0}
}
func (m *Model_TrainingRun_IterationResult_ClusterInfo) XXX_Unmarshal(b []byte) error {
@@ -1655,8 +2006,8 @@
// Model ID of the model to patch.
ModelId string `protobuf:"bytes,3,opt,name=model_id,json=modelId,proto3" json:"model_id,omitempty"`
// Patched model.
- // Follows patch semantics. Missing fields are not updated. To clear a field,
- // explicitly set to default value.
+ // Follows RFC5789 patch semantics. Missing fields are not updated.
+ // To clear a field, explicitly set to default value.
Model *Model `protobuf:"bytes,4,opt,name=model,proto3" json:"model,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
@@ -1779,7 +2130,8 @@
ProjectId string `protobuf:"bytes,1,opt,name=project_id,json=projectId,proto3" json:"project_id,omitempty"`
// Dataset ID of the models to list.
DatasetId string `protobuf:"bytes,2,opt,name=dataset_id,json=datasetId,proto3" json:"dataset_id,omitempty"`
- // The maximum number of results per page.
+ // The maximum number of results to return in a single response page.
+ // Leverage the page tokens to iterate through the entire collection.
MaxResults *wrappers.UInt32Value `protobuf:"bytes,3,opt,name=max_results,json=maxResults,proto3" json:"max_results,omitempty"`
// Page token, returned by a previous call to request the next page of
// results
@@ -1900,8 +2252,10 @@
proto.RegisterEnum("google.cloud.bigquery.v2.Model_DataSplitMethod", Model_DataSplitMethod_name, Model_DataSplitMethod_value)
proto.RegisterEnum("google.cloud.bigquery.v2.Model_LearnRateStrategy", Model_LearnRateStrategy_name, Model_LearnRateStrategy_value)
proto.RegisterEnum("google.cloud.bigquery.v2.Model_OptimizationStrategy", Model_OptimizationStrategy_name, Model_OptimizationStrategy_value)
+ proto.RegisterEnum("google.cloud.bigquery.v2.Model_KmeansEnums_KmeansInitializationMethod", Model_KmeansEnums_KmeansInitializationMethod_name, Model_KmeansEnums_KmeansInitializationMethod_value)
proto.RegisterType((*Model)(nil), "google.cloud.bigquery.v2.Model")
proto.RegisterMapType((map[string]string)(nil), "google.cloud.bigquery.v2.Model.LabelsEntry")
+ proto.RegisterType((*Model_KmeansEnums)(nil), "google.cloud.bigquery.v2.Model.KmeansEnums")
proto.RegisterType((*Model_RegressionMetrics)(nil), "google.cloud.bigquery.v2.Model.RegressionMetrics")
proto.RegisterType((*Model_AggregateClassificationMetrics)(nil), "google.cloud.bigquery.v2.Model.AggregateClassificationMetrics")
proto.RegisterType((*Model_BinaryClassificationMetrics)(nil), "google.cloud.bigquery.v2.Model.BinaryClassificationMetrics")
@@ -1911,6 +2265,10 @@
proto.RegisterType((*Model_MultiClassClassificationMetrics_ConfusionMatrix_Entry)(nil), "google.cloud.bigquery.v2.Model.MultiClassClassificationMetrics.ConfusionMatrix.Entry")
proto.RegisterType((*Model_MultiClassClassificationMetrics_ConfusionMatrix_Row)(nil), "google.cloud.bigquery.v2.Model.MultiClassClassificationMetrics.ConfusionMatrix.Row")
proto.RegisterType((*Model_ClusteringMetrics)(nil), "google.cloud.bigquery.v2.Model.ClusteringMetrics")
+ proto.RegisterType((*Model_ClusteringMetrics_Cluster)(nil), "google.cloud.bigquery.v2.Model.ClusteringMetrics.Cluster")
+ proto.RegisterType((*Model_ClusteringMetrics_Cluster_FeatureValue)(nil), "google.cloud.bigquery.v2.Model.ClusteringMetrics.Cluster.FeatureValue")
+ proto.RegisterType((*Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue)(nil), "google.cloud.bigquery.v2.Model.ClusteringMetrics.Cluster.FeatureValue.CategoricalValue")
+ proto.RegisterType((*Model_ClusteringMetrics_Cluster_FeatureValue_CategoricalValue_CategoryCount)(nil), "google.cloud.bigquery.v2.Model.ClusteringMetrics.Cluster.FeatureValue.CategoricalValue.CategoryCount")
proto.RegisterType((*Model_EvaluationMetrics)(nil), "google.cloud.bigquery.v2.Model.EvaluationMetrics")
proto.RegisterType((*Model_TrainingRun)(nil), "google.cloud.bigquery.v2.Model.TrainingRun")
proto.RegisterType((*Model_TrainingRun_TrainingOptions)(nil), "google.cloud.bigquery.v2.Model.TrainingRun.TrainingOptions")
@@ -1929,181 +2287,199 @@
}
var fileDescriptor_0bf703c728e4b09a = []byte{
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+ 0x00, 0x00, 0x00, 0xff, 0xff, 0x41, 0x7b, 0xaf, 0xf2, 0xa3, 0x26, 0x00, 0x00,
}
// Reference imports to suppress errors if they are not otherwise used.
diff --git a/googleapis/cloud/dialogflow/v2/session_entity_type.pb.go b/googleapis/cloud/dialogflow/v2/session_entity_type.pb.go
index 88a4a64..3281e6b 100644
--- a/googleapis/cloud/dialogflow/v2/session_entity_type.pb.go
+++ b/googleapis/cloud/dialogflow/v2/session_entity_type.pb.go
@@ -527,17 +527,37 @@
// For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.
type SessionEntityTypesClient interface {
// Returns the list of all session entity types in the specified session.
+ //
+ // This method doesn't work with Google Assistant integration.
+ // Contact Dialogflow support if you need to use session entities
+ // with Google Assistant integration.
ListSessionEntityTypes(ctx context.Context, in *ListSessionEntityTypesRequest, opts ...grpc.CallOption) (*ListSessionEntityTypesResponse, error)
// Retrieves the specified session entity type.
+ //
+ // This method doesn't work with Google Assistant integration.
+ // Contact Dialogflow support if you need to use session entities
+ // with Google Assistant integration.
GetSessionEntityType(ctx context.Context, in *GetSessionEntityTypeRequest, opts ...grpc.CallOption) (*SessionEntityType, error)
// Creates a session entity type.
//
// If the specified session entity type already exists, overrides the session
// entity type.
+ //
+ // This method doesn't work with Google Assistant integration.
+ // Contact Dialogflow support if you need to use session entities
+ // with Google Assistant integration.
CreateSessionEntityType(ctx context.Context, in *CreateSessionEntityTypeRequest, opts ...grpc.CallOption) (*SessionEntityType, error)
// Updates the specified session entity type.
+ //
+ // This method doesn't work with Google Assistant integration.
+ // Contact Dialogflow support if you need to use session entities
+ // with Google Assistant integration.
UpdateSessionEntityType(ctx context.Context, in *UpdateSessionEntityTypeRequest, opts ...grpc.CallOption) (*SessionEntityType, error)
// Deletes the specified session entity type.
+ //
+ // This method doesn't work with Google Assistant integration.
+ // Contact Dialogflow support if you need to use session entities
+ // with Google Assistant integration.
DeleteSessionEntityType(ctx context.Context, in *DeleteSessionEntityTypeRequest, opts ...grpc.CallOption) (*empty.Empty, error)
}
@@ -597,17 +617,37 @@
// SessionEntityTypesServer is the server API for SessionEntityTypes service.
type SessionEntityTypesServer interface {
// Returns the list of all session entity types in the specified session.
+ //
+ // This method doesn't work with Google Assistant integration.
+ // Contact Dialogflow support if you need to use session entities
+ // with Google Assistant integration.
ListSessionEntityTypes(context.Context, *ListSessionEntityTypesRequest) (*ListSessionEntityTypesResponse, error)
// Retrieves the specified session entity type.
+ //
+ // This method doesn't work with Google Assistant integration.
+ // Contact Dialogflow support if you need to use session entities
+ // with Google Assistant integration.
GetSessionEntityType(context.Context, *GetSessionEntityTypeRequest) (*SessionEntityType, error)
// Creates a session entity type.
//
// If the specified session entity type already exists, overrides the session
// entity type.
+ //
+ // This method doesn't work with Google Assistant integration.
+ // Contact Dialogflow support if you need to use session entities
+ // with Google Assistant integration.
CreateSessionEntityType(context.Context, *CreateSessionEntityTypeRequest) (*SessionEntityType, error)
// Updates the specified session entity type.
+ //
+ // This method doesn't work with Google Assistant integration.
+ // Contact Dialogflow support if you need to use session entities
+ // with Google Assistant integration.
UpdateSessionEntityType(context.Context, *UpdateSessionEntityTypeRequest) (*SessionEntityType, error)
// Deletes the specified session entity type.
+ //
+ // This method doesn't work with Google Assistant integration.
+ // Contact Dialogflow support if you need to use session entities
+ // with Google Assistant integration.
DeleteSessionEntityType(context.Context, *DeleteSessionEntityTypeRequest) (*empty.Empty, error)
}
diff --git a/googleapis/cloud/dialogflow/v2beta1/agent.pb.go b/googleapis/cloud/dialogflow/v2beta1/agent.pb.go
index 77ae0ea..78db0eb 100644
--- a/googleapis/cloud/dialogflow/v2beta1/agent.pb.go
+++ b/googleapis/cloud/dialogflow/v2beta1/agent.pb.go
@@ -10,7 +10,6 @@
proto "github.com/golang/protobuf/proto"
empty "github.com/golang/protobuf/ptypes/empty"
- _ "github.com/golang/protobuf/ptypes/struct"
_ "google.golang.org/genproto/googleapis/api/annotations"
longrunning "google.golang.org/genproto/googleapis/longrunning"
field_mask "google.golang.org/genproto/protobuf/field_mask"
@@ -931,88 +930,91 @@
}
var fileDescriptor_be44838675479699 = []byte{
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}
// Reference imports to suppress errors if they are not otherwise used.
diff --git a/googleapis/cloud/dialogflow/v2beta1/context.pb.go b/googleapis/cloud/dialogflow/v2beta1/context.pb.go
index 05b8b81..f2fca88 100644
--- a/googleapis/cloud/dialogflow/v2beta1/context.pb.go
+++ b/googleapis/cloud/dialogflow/v2beta1/context.pb.go
@@ -476,61 +476,67 @@
}
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// Reference imports to suppress errors if they are not otherwise used.
diff --git a/googleapis/cloud/dialogflow/v2beta1/entity_type.pb.go b/googleapis/cloud/dialogflow/v2beta1/entity_type.pb.go
index dc74ee8..a6fa6bc 100644
--- a/googleapis/cloud/dialogflow/v2beta1/entity_type.pb.go
+++ b/googleapis/cloud/dialogflow/v2beta1/entity_type.pb.go
@@ -1086,88 +1086,94 @@
}
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// Reference imports to suppress errors if they are not otherwise used.
diff --git a/googleapis/cloud/dialogflow/v2beta1/intent.pb.go b/googleapis/cloud/dialogflow/v2beta1/intent.pb.go
index fc7fdcb..5b8310f 100644
--- a/googleapis/cloud/dialogflow/v2beta1/intent.pb.go
+++ b/googleapis/cloud/dialogflow/v2beta1/intent.pb.go
@@ -3884,233 +3884,237 @@
}
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// Reference imports to suppress errors if they are not otherwise used.
diff --git a/googleapis/cloud/dialogflow/v2beta1/session.pb.go b/googleapis/cloud/dialogflow/v2beta1/session.pb.go
index 26a21b7..8353c5d 100644
--- a/googleapis/cloud/dialogflow/v2beta1/session.pb.go
+++ b/googleapis/cloud/dialogflow/v2beta1/session.pb.go
@@ -1552,133 +1552,135 @@
}
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}
// Reference imports to suppress errors if they are not otherwise used.
diff --git a/googleapis/cloud/dialogflow/v2beta1/session_entity_type.pb.go b/googleapis/cloud/dialogflow/v2beta1/session_entity_type.pb.go
index ec660b1..5bcfbfe 100644
--- a/googleapis/cloud/dialogflow/v2beta1/session_entity_type.pb.go
+++ b/googleapis/cloud/dialogflow/v2beta1/session_entity_type.pb.go
@@ -478,66 +478,71 @@
}
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+ 0x10, 0x00, 0x00,
}
// Reference imports to suppress errors if they are not otherwise used.
@@ -553,17 +558,37 @@
// For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.
type SessionEntityTypesClient interface {
// Returns the list of all session entity types in the specified session.
+ //
+ // This method doesn't work with Google Assistant integration.
+ // Contact Dialogflow support if you need to use session entities
+ // with Google Assistant integration.
ListSessionEntityTypes(ctx context.Context, in *ListSessionEntityTypesRequest, opts ...grpc.CallOption) (*ListSessionEntityTypesResponse, error)
// Retrieves the specified session entity type.
+ //
+ // This method doesn't work with Google Assistant integration.
+ // Contact Dialogflow support if you need to use session entities
+ // with Google Assistant integration.
GetSessionEntityType(ctx context.Context, in *GetSessionEntityTypeRequest, opts ...grpc.CallOption) (*SessionEntityType, error)
// Creates a session entity type.
//
// If the specified session entity type already exists, overrides the
// session entity type.
+ //
+ // This method doesn't work with Google Assistant integration.
+ // Contact Dialogflow support if you need to use session entities
+ // with Google Assistant integration.
CreateSessionEntityType(ctx context.Context, in *CreateSessionEntityTypeRequest, opts ...grpc.CallOption) (*SessionEntityType, error)
// Updates the specified session entity type.
+ //
+ // This method doesn't work with Google Assistant integration.
+ // Contact Dialogflow support if you need to use session entities
+ // with Google Assistant integration.
UpdateSessionEntityType(ctx context.Context, in *UpdateSessionEntityTypeRequest, opts ...grpc.CallOption) (*SessionEntityType, error)
// Deletes the specified session entity type.
+ //
+ // This method doesn't work with Google Assistant integration.
+ // Contact Dialogflow support if you need to use session entities
+ // with Google Assistant integration.
DeleteSessionEntityType(ctx context.Context, in *DeleteSessionEntityTypeRequest, opts ...grpc.CallOption) (*empty.Empty, error)
}
@@ -623,17 +648,37 @@
// SessionEntityTypesServer is the server API for SessionEntityTypes service.
type SessionEntityTypesServer interface {
// Returns the list of all session entity types in the specified session.
+ //
+ // This method doesn't work with Google Assistant integration.
+ // Contact Dialogflow support if you need to use session entities
+ // with Google Assistant integration.
ListSessionEntityTypes(context.Context, *ListSessionEntityTypesRequest) (*ListSessionEntityTypesResponse, error)
// Retrieves the specified session entity type.
+ //
+ // This method doesn't work with Google Assistant integration.
+ // Contact Dialogflow support if you need to use session entities
+ // with Google Assistant integration.
GetSessionEntityType(context.Context, *GetSessionEntityTypeRequest) (*SessionEntityType, error)
// Creates a session entity type.
//
// If the specified session entity type already exists, overrides the
// session entity type.
+ //
+ // This method doesn't work with Google Assistant integration.
+ // Contact Dialogflow support if you need to use session entities
+ // with Google Assistant integration.
CreateSessionEntityType(context.Context, *CreateSessionEntityTypeRequest) (*SessionEntityType, error)
// Updates the specified session entity type.
+ //
+ // This method doesn't work with Google Assistant integration.
+ // Contact Dialogflow support if you need to use session entities
+ // with Google Assistant integration.
UpdateSessionEntityType(context.Context, *UpdateSessionEntityTypeRequest) (*SessionEntityType, error)
// Deletes the specified session entity type.
+ //
+ // This method doesn't work with Google Assistant integration.
+ // Contact Dialogflow support if you need to use session entities
+ // with Google Assistant integration.
DeleteSessionEntityType(context.Context, *DeleteSessionEntityTypeRequest) (*empty.Empty, error)
}
diff --git a/googleapis/cloud/talent/v4beta1/common.pb.go b/googleapis/cloud/talent/v4beta1/common.pb.go
index ab2ea72..72f5382 100644
--- a/googleapis/cloud/talent/v4beta1/common.pb.go
+++ b/googleapis/cloud/talent/v4beta1/common.pb.go
@@ -1438,7 +1438,7 @@
// `CASE_INSENSITIVE_MATCH`) search.
// For filterable `string_value`s, a maximum total number of 200 values
// is allowed, with each `string_value` has a byte size of no more than
- // 255B. For unfilterable `string_values`, the maximum total byte size of
+ // 500B. For unfilterable `string_values`, the maximum total byte size of
// unfilterable `string_values` is 50KB.
//
// Empty string isn't allowed.
diff --git a/googleapis/cloud/talent/v4beta1/event.pb.go b/googleapis/cloud/talent/v4beta1/event.pb.go
index 16de450..b2a9f36 100644
--- a/googleapis/cloud/talent/v4beta1/event.pb.go
+++ b/googleapis/cloud/talent/v4beta1/event.pb.go
@@ -164,80 +164,25 @@
ProfileEvent_PROFILE_EVENT_TYPE_UNSPECIFIED ProfileEvent_ProfileEventType = 0
// Send this event when a
// [ProfileEvent.profiles][google.cloud.talent.v4beta1.ProfileEvent.profiles]
- // meets all of the following criteria:
- // * Was sent as a part of a result set for a CTS API call.
- // * Was rendered in the end user's UI (that is, the
+ // was sent as a part of a result set for a CTS API call and was rendered in
+ // the end user's UI (that is, the
// [ProfileEvent.recruiter][google.cloud.talent.v4beta1.ProfileEvent.recruiter]).
- // * That UI rendering was displayed in the end user's viewport for >=3
- // seconds.
- //
- // In other words, send this event when the end user of the CTS service
- // actually saw a resulting profile in their viewport.
- //
- // To understand how to use this event, consider an example:
- //
- // * The customer's UI for interacting with CTS
- // result sets is accessed by the end user through a web browser.
- // * The UI calls for a page size of 15 candidates (that is, 15 candidates
- // are rendered on each page of results).
- // * However, the UI design calls for only 5 candidates to be shown at any
- // given time in the viewport (that is, the end user can only see 5 results
- // at any given time and needs to scroll up or down to view all 15 results).
- //
- // To render each page of results, the customer will send a
- // request to CTS with a page size = 15.
- //
- // * User loads page #1 of results.
- // * User scrolls down to expose results #1 - #5 and dwells on this view for
- // 30 seconds.
- // * Send an IMPRESSION event for result 1, 2, 3, 4, 5.
- // * User scrolls down a bit, exposing results #2 - #6 in the viewport and
- // dwells on this view for 5 minutes.
- // * Send an IMPRESSION event for result 6.
- // * User scrolls to the bottom of the page, with results #7 - #15 shown in
- // the viewport for ~5 seconds each.
- // * Specifically, NO IMPRESSION events are sent for result 7, 8, 9, 10, 11,
- // 12, 13, 14, 15.
- // * User clicks to the next page and loads page #2 of results.
- // * Within 2 seconds, user scrolls to expose results #20 - #24 in the
- // viewport and dwells on this view for 20 mins.
- // * Send an IMPRESSION event for result 20, 21, 22, 23, 24
- // * User closes their browser window.
ProfileEvent_IMPRESSION ProfileEvent_ProfileEventType = 1
- // The VIEW event allows CTS to understand if a candidate's profile was
- // viewed by an end user (that is, recruiter) of the system for >=3 seconds.
- // This is critical to tracking product metrics and should be sent for every
- // profile VIEW that happens in the customer's system.
+ // The VIEW event records the action of a candidate's profile being
+ // viewed by an end user. This is critical to tracking product metrics and
+ // should be sent for every profile VIEW that happens in your system,
+ // whether the event is associated with an API call (for example, a
+ // recruiter making a request for a result set and clicking on a profile)
+ // or not (a recruiter using the system to view profile details without
+ // making a request).
//
- // VIEW events should be sent whether an end user views a candidate's
- // profile as a result of seeing that profile in the result set of a
- // CTS API request or whether the end user
- // views the profile for some other reason (that is, clicks to the
- // candidate's profile in the ATS, and so on).
- //
- // For a VIEW that happens as a result of seeing the profile in
- // a CTS API request's result set, the
+ // For a VIEW events associated with API calls, the
// [ClientEvent.request_id][google.cloud.talent.v4beta1.ClientEvent.request_id]
- // should be populated. If the VIEW happens for some other reason, the
+ // should be populated. If the VIEW is not associated with an API call,
// [request_id][google.cloud.talent.v4beta1.ClientEvent.request_id] should
// not be populated.
//
// This event requires a valid recruiter and one valid ID in profiles.
- //
- // To understand how to use this event, consider 2 examples in which a VIEW
- // event should be sent:
- // * End user makes a request to the CTS API for a result set.
- // * Results for the request are shown to the end user.
- // * End user clicks on one of the candidates that are shown as part of the
- // results.
- // * A VIEW event with the
- // [ClientEvent.request_id][google.cloud.talent.v4beta1.ClientEvent.request_id]
- // of the API call in the first step of this example is sent.
- //
- // * End user browses to a candidate's profile in the ATS.
- // * A VIEW event without a
- // [ClientEvent.request_id][google.cloud.talent.v4beta1.ClientEvent.request_id]
- // is sent.
ProfileEvent_VIEW ProfileEvent_ProfileEventType = 2
// The profile is bookmarked.
ProfileEvent_BOOKMARK ProfileEvent_ProfileEventType = 3
diff --git a/googleapis/cloud/talent/v4beta1/filters.pb.go b/googleapis/cloud/talent/v4beta1/filters.pb.go
index 1bc58af..168d180 100644
--- a/googleapis/cloud/talent/v4beta1/filters.pb.go
+++ b/googleapis/cloud/talent/v4beta1/filters.pb.go
@@ -501,7 +501,26 @@
// For example, "software engineer in Palo Alto".
Query string `protobuf:"bytes,1,opt,name=query,proto3" json:"query,omitempty"`
// Optional. The location filter specifies geo-regions containing the profiles
- // to search against.
+ // to search against. It filters against all of a profile's
+ // [Profile.addresses][google.cloud.talent.v4beta1.Profile.addresses] where
+ // [Address.usage][google.cloud.talent.v4beta1.Address.usage] is PERSONAL and
+ // [Address.current][google.cloud.talent.v4beta1.Address.current] is true. If
+ // no such address exists, a fallback logic is applied in an attempt to
+ // determine the profile's primary address.
+ //
+ // The fallback logic selects an address from a profile's
+ // [Profile.addresses][google.cloud.talent.v4beta1.Profile.addresses] in the
+ // following order of priority:
+ // 1. [Address.usage][google.cloud.talent.v4beta1.Address.usage] is PERSONAL
+ // and [Address.current][google.cloud.talent.v4beta1.Address.current] is false
+ // or not set.
+ // 2. [Address.usage][google.cloud.talent.v4beta1.Address.usage] is
+ // CONTACT_INFO_USAGE_UNSPECIFIED and
+ // [Address.current][google.cloud.talent.v4beta1.Address.current] is true.
+ // 3. [Address.usage][google.cloud.talent.v4beta1.Address.usage] is
+ // CONTACT_INFO_USAGE_UNSPECIFIED and
+ // [Address.current][google.cloud.talent.v4beta1.Address.current] is false or
+ // not set.
//
// If a location filter isn't specified, profiles fitting the other search
// criteria are retrieved regardless of where they're located.
@@ -790,8 +809,9 @@
// used to address ambiguity of the user-input location, for example,
// "Liverpool" against "Liverpool, NY, US" or "Liverpool, UK".
//
- // Set this field if all the jobs to search against are from a same region,
- // or jobs are world-wide, but the job seeker is from a specific region.
+ // Set this field to bias location resolution toward a specific country
+ // or territory. If this field is not set, application behavior is biased
+ // toward the United States by default.
//
// See http://cldr.unicode.org/ and
// http://www.unicode.org/cldr/charts/30/supplemental/territory_information.html
@@ -1788,136 +1808,135 @@
}
var fileDescriptor_89d33ae01ee514a8 = []byte{
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}
diff --git a/googleapis/cloud/talent/v4beta1/histogram.pb.go b/googleapis/cloud/talent/v4beta1/histogram.pb.go
index 52a7317..1535b67 100644
--- a/googleapis/cloud/talent/v4beta1/histogram.pb.go
+++ b/googleapis/cloud/talent/v4beta1/histogram.pb.go
@@ -8,7 +8,6 @@
math "math"
proto "github.com/golang/protobuf/proto"
- _ "github.com/golang/protobuf/ptypes/wrappers"
_ "google.golang.org/genproto/googleapis/api/annotations"
)
@@ -147,24 +146,23 @@
}
var fileDescriptor_faf41faeec04126e = []byte{
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+ // 283 bytes of a gzipped FileDescriptorProto
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diff --git a/googleapis/cloud/talent/v4beta1/job.pb.go b/googleapis/cloud/talent/v4beta1/job.pb.go
index 95b4039..3dc5183 100644
--- a/googleapis/cloud/talent/v4beta1/job.pb.go
+++ b/googleapis/cloud/talent/v4beta1/job.pb.go
@@ -9,7 +9,6 @@
proto "github.com/golang/protobuf/proto"
timestamp "github.com/golang/protobuf/ptypes/timestamp"
- _ "github.com/golang/protobuf/ptypes/wrappers"
_ "google.golang.org/genproto/googleapis/api/annotations"
_ "google.golang.org/genproto/googleapis/type/postaladdress"
)
@@ -722,74 +721,74 @@
}
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}
diff --git a/googleapis/cloud/talent/v4beta1/job_service.pb.go b/googleapis/cloud/talent/v4beta1/job_service.pb.go
index e6d7db8..759b6ed 100644
--- a/googleapis/cloud/talent/v4beta1/job_service.pb.go
+++ b/googleapis/cloud/talent/v4beta1/job_service.pb.go
@@ -9,6 +9,7 @@
math "math"
proto "github.com/golang/protobuf/proto"
+ _ "github.com/golang/protobuf/ptypes/any"
duration "github.com/golang/protobuf/ptypes/duration"
empty "github.com/golang/protobuf/ptypes/empty"
_ "google.golang.org/genproto/googleapis/api/annotations"
@@ -1618,133 +1619,134 @@
}
var fileDescriptor_0dfa8e10f7799e35 = []byte{
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}
// Reference imports to suppress errors if they are not otherwise used.
diff --git a/googleapis/cloud/talent/v4beta1/profile.pb.go b/googleapis/cloud/talent/v4beta1/profile.pb.go
index 69d08d4..70e3119 100644
--- a/googleapis/cloud/talent/v4beta1/profile.pb.go
+++ b/googleapis/cloud/talent/v4beta1/profile.pb.go
@@ -14,7 +14,6 @@
_ "google.golang.org/genproto/googleapis/api/annotations"
date "google.golang.org/genproto/googleapis/type/date"
postaladdress "google.golang.org/genproto/googleapis/type/postaladdress"
- _ "google.golang.org/genproto/protobuf/field_mask"
)
// Reference imports to suppress errors if they are not otherwise used.
@@ -140,7 +139,9 @@
// "projects/{project_id}/tenants/{tenant_id}/profiles/{profile_id}",
// for example, "projects/api-test-project/tenants/foo/profiles/bar".
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
- // Optional. Profile's id in client system if available.
+ // Optional. Profile's id in client system if available. This value is not
+ // required to be unique to each profile. However, providing unique values
+ // makes it easier to specify individual profiles when filing support tickets.
//
// The maximum number of bytes allowed is 100.
ExternalId string `protobuf:"bytes,2,opt,name=external_id,json=externalId,proto3" json:"external_id,omitempty"`
@@ -182,7 +183,34 @@
//
// Currently only one person name is supported.
PersonNames []*PersonName `protobuf:"bytes,11,rep,name=person_names,json=personNames,proto3" json:"person_names,omitempty"`
- // Optional. The candidate's postal addresses.
+ // Optional. The candidate's postal addresses. It's highly recommended to
+ // input this information as accurately as possible to help improve search
+ // quality. Here are some recommendations:
+ //
+ // * Provide [Address.usage][google.cloud.talent.v4beta1.Address.usage] if
+ // possible, especially if the address is PERSONAL. During a search only
+ // personal addresses are considered. If there is no such address, all
+ // addresses with unspecified usage are assumed to be personal.
+ // * Provide [Address.current][google.cloud.talent.v4beta1.Address.current]
+ // for the current address if possible. During a search, only current
+ // addresses are considered. If there is no such address, all addresses are
+ // assumed to be current.
+ //
+ // When displaying a candidate's addresses, it is sometimes desirable to limit
+ // the number of addresses shown. In these cases we recommend that you display
+ // the addresses in the following order of priority:
+ // 1. [Address.usage][google.cloud.talent.v4beta1.Address.usage] is PERSONAL
+ // and [Address.current][google.cloud.talent.v4beta1.Address.current] is true.
+ // 2. [Address.usage][google.cloud.talent.v4beta1.Address.usage] is PERSONAL
+ // and [Address.current][google.cloud.talent.v4beta1.Address.current] is false
+ // or not set.
+ // 3. [Address.usage][google.cloud.talent.v4beta1.Address.usage] is
+ // CONTACT_INFO_USAGE_UNSPECIFIED and
+ // [Address.current][google.cloud.talent.v4beta1.Address.current] is true.
+ // 4. [Address.usage][google.cloud.talent.v4beta1.Address.usage] is
+ // CONTACT_INFO_USAGE_UNSPECIFIED and
+ // [Address.current][google.cloud.talent.v4beta1.Address.current] is false or
+ // not set.
Addresses []*Address `protobuf:"bytes,12,rep,name=addresses,proto3" json:"addresses,omitempty"`
// Optional. The candidate's email addresses.
EmailAddresses []*Email `protobuf:"bytes,13,rep,name=email_addresses,json=emailAddresses,proto3" json:"email_addresses,omitempty"`
@@ -211,7 +239,7 @@
// for the current employment if possible. If not, it's inferred from user
// inputs.
//
- // The limitation for max number of employment records is 50.
+ // The limitation for max number of employment records is 100.
EmploymentRecords []*EmploymentRecord `protobuf:"bytes,17,rep,name=employment_records,json=employmentRecords,proto3" json:"employment_records,omitempty"`
// Optional. The education history record of the candidate. It's highly
// recommended to input this information as accurately as possible to help
@@ -226,12 +254,12 @@
// for the current education if possible. If not, it's inferred from user
// inputs.
//
- // The limitation for max number of education records is 10.
+ // The limitation for max number of education records is 100.
EducationRecords []*EducationRecord `protobuf:"bytes,18,rep,name=education_records,json=educationRecords,proto3" json:"education_records,omitempty"`
// Optional. The skill set of the candidate. It's highly recommended to
// provide as much information as possible to help improve the search quality.
//
- // The limitation for max number of skills is 100.
+ // The limitation for max number of skills is 500.
Skills []*Skill `protobuf:"bytes,19,rep,name=skills,proto3" json:"skills,omitempty"`
// Optional. The individual or collaborative activities which the candidate
// has participated in, for example, open-source projects, class assignments
@@ -279,10 +307,18 @@
// Output only. Keyword snippet shows how the search result is related to a
// search query. This is only returned in
// [SearchProfilesResponse][google.cloud.talent.v4beta1.SearchProfilesResponse].
- KeywordSnippet string `protobuf:"bytes,28,opt,name=keyword_snippet,json=keywordSnippet,proto3" json:"keyword_snippet,omitempty"`
- XXX_NoUnkeyedLiteral struct{} `json:"-"`
- XXX_unrecognized []byte `json:"-"`
- XXX_sizecache int32 `json:"-"`
+ KeywordSnippet string `protobuf:"bytes,28,opt,name=keyword_snippet,json=keywordSnippet,proto3" json:"keyword_snippet,omitempty"`
+ // Output only. Derived locations of the profile, resolved from
+ // [Profile.addresses][google.cloud.talent.v4beta1.Profile.addresses].
+ //
+ // [derived_addresses][google.cloud.talent.v4beta1.Profile.derived_addresses]
+ // are exactly matched to
+ // [Profile.addresses][google.cloud.talent.v4beta1.Profile.addresses] in the
+ // same order.
+ DerivedAddresses []*Location `protobuf:"bytes,64,rep,name=derived_addresses,json=derivedAddresses,proto3" json:"derived_addresses,omitempty"`
+ XXX_NoUnkeyedLiteral struct{} `json:"-"`
+ XXX_unrecognized []byte `json:"-"`
+ XXX_sizecache int32 `json:"-"`
}
func (m *Profile) Reset() { *m = Profile{} }
@@ -499,22 +535,27 @@
return ""
}
+func (m *Profile) GetDerivedAddresses() []*Location {
+ if m != nil {
+ return m.DerivedAddresses
+ }
+ return nil
+}
+
// Resource that represents a resume.
type Resume struct {
// Optional. Users can create a profile with only this field field, if
// [resume_type][google.cloud.talent.v4beta1.Resume.resume_type] is
// [HRXML][google.cloud.talent.v4beta1.Resume.ResumeType.HRXML]. For example,
// the API parses this field and creates a profile with all structured fields
- // populated, for example.
+ // populated.
// [EmploymentRecord][google.cloud.talent.v4beta1.EmploymentRecord],
// [EducationRecord][google.cloud.talent.v4beta1.EducationRecord], and so on.
// An error is thrown if this field cannot be parsed.
//
- // If this field is provided during profile creation or update,
- // any other structured data provided in the profile is ignored. The
- // API populates these fields by parsing this field. Note that the use of the
- // functionality offered by this field to extract data from resumes is an
- // Alpha feature and as such is not covered by any SLA.
+ // Note that the use of the functionality offered by this field to extract
+ // data from resumes is an Alpha feature and as such is not covered by any
+ // SLA.
StructuredResume string `protobuf:"bytes,1,opt,name=structured_resume,json=structuredResume,proto3" json:"structured_resume,omitempty"`
// Optional. The format of
// [structured_resume][google.cloud.talent.v4beta1.Resume.structured_resume].
@@ -1126,7 +1167,7 @@
//
// For example, "Google", "Alphabet", and so on.
//
- // Number of characters allowed is 100.
+ // Number of characters allowed is 250.
EmployerName string `protobuf:"bytes,3,opt,name=employer_name,json=employerName,proto3" json:"employer_name,omitempty"`
// Optional. The division name of the employment.
//
@@ -1140,7 +1181,7 @@
//
// For example, "Software Engineer", "Data Scientist", and so on.
//
- // Number of characters allowed is 100.
+ // Number of characters allowed is 250.
JobTitle string `protobuf:"bytes,6,opt,name=job_title,json=jobTitle,proto3" json:"job_title,omitempty"`
// Optional. The description of job content.
//
@@ -1303,7 +1344,7 @@
//
// For example, "Stanford University", "UC Berkeley", and so on.
//
- // Number of characters allowed is 100.
+ // Number of characters allowed is 250.
SchoolName string `protobuf:"bytes,4,opt,name=school_name,json=schoolName,proto3" json:"school_name,omitempty"`
// Optional. The physical address of the education institution.
Address *Address `protobuf:"bytes,5,opt,name=address,proto3" json:"address,omitempty"`
@@ -1967,148 +2008,150 @@
}
var fileDescriptor_f0277fc1d2fabb3b = []byte{
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}
diff --git a/googleapis/cloud/talent/v4beta1/profile_service.pb.go b/googleapis/cloud/talent/v4beta1/profile_service.pb.go
index 3acb460..149173d 100644
--- a/googleapis/cloud/talent/v4beta1/profile_service.pb.go
+++ b/googleapis/cloud/talent/v4beta1/profile_service.pb.go
@@ -268,7 +268,6 @@
// A full update is performed if it is unset.
//
// Valid values are:
- //
// * external_id
// * source
// * uri
@@ -285,13 +284,33 @@
// * employment_records
// * education_records
// * skills
- // * projects
+ // * activities
// * publications
// * patents
// * certifications
// * recruiting_notes
// * custom_attributes
// * group_id
+ // * external_system
+ // * source_note
+ // * primary_responsibilities
+ // * citizenships
+ // * work_authorizations
+ // * employee_types
+ // * language_code
+ // * qualification_summary
+ // * allowed_contact_types
+ // * preferred_contact_types
+ // * contact_availability
+ // * language_fluencies
+ // * work_preference
+ // * industry_experiences
+ // * work_environment_experiences
+ // * work_availability
+ // * security_clearances
+ // * references
+ // * assessments
+ // * interviews
UpdateMask *field_mask.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
diff --git a/googleapis/cloud/talent/v4beta1/tenant.pb.go b/googleapis/cloud/talent/v4beta1/tenant.pb.go
index bd937ac..885d936 100644
--- a/googleapis/cloud/talent/v4beta1/tenant.pb.go
+++ b/googleapis/cloud/talent/v4beta1/tenant.pb.go
@@ -8,6 +8,7 @@
math "math"
proto "github.com/golang/protobuf/proto"
+ _ "github.com/golang/protobuf/ptypes/timestamp"
_ "google.golang.org/genproto/googleapis/api/annotations"
)
@@ -157,30 +158,30 @@
}
var fileDescriptor_4b0da31c41aea5f3 = []byte{
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+ // 394 bytes of a gzipped FileDescriptorProto
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}
diff --git a/googleapis/cloud/videointelligence/v1/video_intelligence.pb.go b/googleapis/cloud/videointelligence/v1/video_intelligence.pb.go
index aa09115..f4732d9 100644
--- a/googleapis/cloud/videointelligence/v1/video_intelligence.pb.go
+++ b/googleapis/cloud/videointelligence/v1/video_intelligence.pb.go
@@ -1312,9 +1312,17 @@
// Topical label annotations on video level or user specified segment level.
// There is exactly one element for each unique label.
SegmentLabelAnnotations []*LabelAnnotation `protobuf:"bytes,2,rep,name=segment_label_annotations,json=segmentLabelAnnotations,proto3" json:"segment_label_annotations,omitempty"`
+ // Presence label annotations on video level or user specified segment level.
+ // There is exactly one element for each unique label. This will eventually
+ // get publicly exposed and the restriction will be removed.
+ SegmentPresenceLabelAnnotations []*LabelAnnotation `protobuf:"bytes,23,rep,name=segment_presence_label_annotations,json=segmentPresenceLabelAnnotations,proto3" json:"segment_presence_label_annotations,omitempty"`
// Topical label annotations on shot level.
// There is exactly one element for each unique label.
ShotLabelAnnotations []*LabelAnnotation `protobuf:"bytes,3,rep,name=shot_label_annotations,json=shotLabelAnnotations,proto3" json:"shot_label_annotations,omitempty"`
+ // Presence label annotations on shot level. There is exactly one element for
+ // each unique label. This will eventually get publicly exposed and the
+ // restriction will be removed.
+ ShotPresenceLabelAnnotations []*LabelAnnotation `protobuf:"bytes,24,rep,name=shot_presence_label_annotations,json=shotPresenceLabelAnnotations,proto3" json:"shot_presence_label_annotations,omitempty"`
// Label annotations on frame level.
// There is exactly one element for each unique label.
FrameLabelAnnotations []*LabelAnnotation `protobuf:"bytes,4,rep,name=frame_label_annotations,json=frameLabelAnnotations,proto3" json:"frame_label_annotations,omitempty"`
@@ -1386,6 +1394,13 @@
return nil
}
+func (m *VideoAnnotationResults) GetSegmentPresenceLabelAnnotations() []*LabelAnnotation {
+ if m != nil {
+ return m.SegmentPresenceLabelAnnotations
+ }
+ return nil
+}
+
func (m *VideoAnnotationResults) GetShotLabelAnnotations() []*LabelAnnotation {
if m != nil {
return m.ShotLabelAnnotations
@@ -1393,6 +1408,13 @@
return nil
}
+func (m *VideoAnnotationResults) GetShotPresenceLabelAnnotations() []*LabelAnnotation {
+ if m != nil {
+ return m.ShotPresenceLabelAnnotations
+ }
+ return nil
+}
+
func (m *VideoAnnotationResults) GetFrameLabelAnnotations() []*LabelAnnotation {
if m != nil {
return m.FrameLabelAnnotations
@@ -2512,172 +2534,174 @@
}
var fileDescriptor_7638dbca9a7e63fa = []byte{
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}
// Reference imports to suppress errors if they are not otherwise used.
diff --git a/googleapis/cloud/vision/v1/image_annotator.pb.go b/googleapis/cloud/vision/v1/image_annotator.pb.go
index 59c597b..dbddaae 100644
--- a/googleapis/cloud/vision/v1/image_annotator.pb.go
+++ b/googleapis/cloud/vision/v1/image_annotator.pb.go
@@ -37,15 +37,15 @@
const (
// Unknown likelihood.
Likelihood_UNKNOWN Likelihood = 0
- // It is very unlikely that the image belongs to the specified vertical.
+ // It is very unlikely.
Likelihood_VERY_UNLIKELY Likelihood = 1
- // It is unlikely that the image belongs to the specified vertical.
+ // It is unlikely.
Likelihood_UNLIKELY Likelihood = 2
- // It is possible that the image belongs to the specified vertical.
+ // It is possible.
Likelihood_POSSIBLE Likelihood = 3
- // It is likely that the image belongs to the specified vertical.
+ // It is likely.
Likelihood_LIKELY Likelihood = 4
- // It is very likely that the image belongs to the specified vertical.
+ // It is very likely.
Likelihood_VERY_LIKELY Likelihood = 5
)
@@ -1921,13 +1921,17 @@
type AnnotateFileResponse struct {
// Information about the file for which this response is generated.
InputConfig *InputConfig `protobuf:"bytes,1,opt,name=input_config,json=inputConfig,proto3" json:"input_config,omitempty"`
- // Individual responses to images found within the file.
+ // Individual responses to images found within the file. This field will be
+ // empty if the `error` field is set.
Responses []*AnnotateImageResponse `protobuf:"bytes,2,rep,name=responses,proto3" json:"responses,omitempty"`
// This field gives the total number of pages in the file.
- TotalPages int32 `protobuf:"varint,3,opt,name=total_pages,json=totalPages,proto3" json:"total_pages,omitempty"`
- XXX_NoUnkeyedLiteral struct{} `json:"-"`
- XXX_unrecognized []byte `json:"-"`
- XXX_sizecache int32 `json:"-"`
+ TotalPages int32 `protobuf:"varint,3,opt,name=total_pages,json=totalPages,proto3" json:"total_pages,omitempty"`
+ // If set, represents the error message for the failed request. The
+ // `responses` field will not be set in this case.
+ Error *status.Status `protobuf:"bytes,4,opt,name=error,proto3" json:"error,omitempty"`
+ XXX_NoUnkeyedLiteral struct{} `json:"-"`
+ XXX_unrecognized []byte `json:"-"`
+ XXX_sizecache int32 `json:"-"`
}
func (m *AnnotateFileResponse) Reset() { *m = AnnotateFileResponse{} }
@@ -1976,13 +1980,33 @@
return 0
}
+func (m *AnnotateFileResponse) GetError() *status.Status {
+ if m != nil {
+ return m.Error
+ }
+ return nil
+}
+
// Multiple image annotation requests are batched into a single service call.
type BatchAnnotateImagesRequest struct {
// Individual image annotation requests for this batch.
- Requests []*AnnotateImageRequest `protobuf:"bytes,1,rep,name=requests,proto3" json:"requests,omitempty"`
- XXX_NoUnkeyedLiteral struct{} `json:"-"`
- XXX_unrecognized []byte `json:"-"`
- XXX_sizecache int32 `json:"-"`
+ Requests []*AnnotateImageRequest `protobuf:"bytes,1,rep,name=requests,proto3" json:"requests,omitempty"`
+ // Optional. Target project and location to make a call.
+ //
+ // Format: `projects/{project-id}/locations/{location-id}`.
+ //
+ // If no parent is specified, a region will be chosen automatically.
+ //
+ // Supported location-ids:
+ // `us`: USA country only,
+ // `asia`: East asia areas, like Japan, Taiwan,
+ // `eu`: The European Union.
+ //
+ // Example: `projects/project-A/locations/eu`.
+ Parent string `protobuf:"bytes,4,opt,name=parent,proto3" json:"parent,omitempty"`
+ XXX_NoUnkeyedLiteral struct{} `json:"-"`
+ XXX_unrecognized []byte `json:"-"`
+ XXX_sizecache int32 `json:"-"`
}
func (m *BatchAnnotateImagesRequest) Reset() { *m = BatchAnnotateImagesRequest{} }
@@ -2017,6 +2041,13 @@
return nil
}
+func (m *BatchAnnotateImagesRequest) GetParent() string {
+ if m != nil {
+ return m.Parent
+ }
+ return ""
+}
+
// Response to a batch image annotation request.
type BatchAnnotateImagesResponse struct {
// Individual responses to image annotation requests within the batch.
@@ -2143,10 +2174,23 @@
type BatchAnnotateFilesRequest struct {
// The list of file annotation requests. Right now we support only one
// AnnotateFileRequest in BatchAnnotateFilesRequest.
- Requests []*AnnotateFileRequest `protobuf:"bytes,1,rep,name=requests,proto3" json:"requests,omitempty"`
- XXX_NoUnkeyedLiteral struct{} `json:"-"`
- XXX_unrecognized []byte `json:"-"`
- XXX_sizecache int32 `json:"-"`
+ Requests []*AnnotateFileRequest `protobuf:"bytes,1,rep,name=requests,proto3" json:"requests,omitempty"`
+ // Optional. Target project and location to make a call.
+ //
+ // Format: `projects/{project-id}/locations/{location-id}`.
+ //
+ // If no parent is specified, a region will be chosen automatically.
+ //
+ // Supported location-ids:
+ // `us`: USA country only,
+ // `asia`: East asia areas, like Japan, Taiwan,
+ // `eu`: The European Union.
+ //
+ // Example: `projects/project-A/locations/eu`.
+ Parent string `protobuf:"bytes,3,opt,name=parent,proto3" json:"parent,omitempty"`
+ XXX_NoUnkeyedLiteral struct{} `json:"-"`
+ XXX_unrecognized []byte `json:"-"`
+ XXX_sizecache int32 `json:"-"`
}
func (m *BatchAnnotateFilesRequest) Reset() { *m = BatchAnnotateFilesRequest{} }
@@ -2181,6 +2225,13 @@
return nil
}
+func (m *BatchAnnotateFilesRequest) GetParent() string {
+ if m != nil {
+ return m.Parent
+ }
+ return ""
+}
+
// A list of file annotation responses.
type BatchAnnotateFilesResponse struct {
// The list of file annotation responses, each response corresponding to each
@@ -2337,10 +2388,23 @@
// Individual image annotation requests for this batch.
Requests []*AnnotateImageRequest `protobuf:"bytes,1,rep,name=requests,proto3" json:"requests,omitempty"`
// Required. The desired output location and metadata (e.g. format).
- OutputConfig *OutputConfig `protobuf:"bytes,2,opt,name=output_config,json=outputConfig,proto3" json:"output_config,omitempty"`
- XXX_NoUnkeyedLiteral struct{} `json:"-"`
- XXX_unrecognized []byte `json:"-"`
- XXX_sizecache int32 `json:"-"`
+ OutputConfig *OutputConfig `protobuf:"bytes,2,opt,name=output_config,json=outputConfig,proto3" json:"output_config,omitempty"`
+ // Optional. Target project and location to make a call.
+ //
+ // Format: `projects/{project-id}/locations/{location-id}`.
+ //
+ // If no parent is specified, a region will be chosen automatically.
+ //
+ // Supported location-ids:
+ // `us`: USA country only,
+ // `asia`: East asia areas, like Japan, Taiwan,
+ // `eu`: The European Union.
+ //
+ // Example: `projects/project-A/locations/eu`.
+ Parent string `protobuf:"bytes,4,opt,name=parent,proto3" json:"parent,omitempty"`
+ XXX_NoUnkeyedLiteral struct{} `json:"-"`
+ XXX_unrecognized []byte `json:"-"`
+ XXX_sizecache int32 `json:"-"`
}
func (m *AsyncBatchAnnotateImagesRequest) Reset() { *m = AsyncBatchAnnotateImagesRequest{} }
@@ -2382,6 +2446,13 @@
return nil
}
+func (m *AsyncBatchAnnotateImagesRequest) GetParent() string {
+ if m != nil {
+ return m.Parent
+ }
+ return ""
+}
+
// Response to an async batch image annotation request.
type AsyncBatchAnnotateImagesResponse struct {
// The output location and metadata from AsyncBatchAnnotateImagesRequest.
@@ -2427,10 +2498,23 @@
// call.
type AsyncBatchAnnotateFilesRequest struct {
// Individual async file annotation requests for this batch.
- Requests []*AsyncAnnotateFileRequest `protobuf:"bytes,1,rep,name=requests,proto3" json:"requests,omitempty"`
- XXX_NoUnkeyedLiteral struct{} `json:"-"`
- XXX_unrecognized []byte `json:"-"`
- XXX_sizecache int32 `json:"-"`
+ Requests []*AsyncAnnotateFileRequest `protobuf:"bytes,1,rep,name=requests,proto3" json:"requests,omitempty"`
+ // Optional. Target project and location to make a call.
+ //
+ // Format: `projects/{project-id}/locations/{location-id}`.
+ //
+ // If no parent is specified, a region will be chosen automatically.
+ //
+ // Supported location-ids:
+ // `us`: USA country only,
+ // `asia`: East asia areas, like Japan, Taiwan,
+ // `eu`: The European Union.
+ //
+ // Example: `projects/project-A/locations/eu`.
+ Parent string `protobuf:"bytes,4,opt,name=parent,proto3" json:"parent,omitempty"`
+ XXX_NoUnkeyedLiteral struct{} `json:"-"`
+ XXX_unrecognized []byte `json:"-"`
+ XXX_sizecache int32 `json:"-"`
}
func (m *AsyncBatchAnnotateFilesRequest) Reset() { *m = AsyncBatchAnnotateFilesRequest{} }
@@ -2465,6 +2549,13 @@
return nil
}
+func (m *AsyncBatchAnnotateFilesRequest) GetParent() string {
+ if m != nil {
+ return m.Parent
+ }
+ return ""
+}
+
// Response to an async batch file annotation request.
type AsyncBatchAnnotateFilesResponse struct {
// The list of file annotation responses, one for each request in
@@ -2846,210 +2937,222 @@
}
var fileDescriptor_49e74116a4d6fd69 = []byte{
- // 3240 bytes of a gzipped FileDescriptorProto
- 0x1f, 0x8b, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0xff, 0xe4, 0x5a, 0x5f, 0x6f, 0x1b, 0x59,
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+ 0x00, 0x00,
}
// Reference imports to suppress errors if they are not otherwise used.
diff --git a/googleapis/cloud/vision/v1/product_search.pb.go b/googleapis/cloud/vision/v1/product_search.pb.go
index e088946..52bd496 100644
--- a/googleapis/cloud/vision/v1/product_search.pb.go
+++ b/googleapis/cloud/vision/v1/product_search.pb.go
@@ -234,23 +234,95 @@
return ""
}
+// Prediction for what the object in the bounding box is.
+type ProductSearchResults_ObjectAnnotation struct {
+ // Object ID that should align with EntityAnnotation mid.
+ Mid string `protobuf:"bytes,1,opt,name=mid,proto3" json:"mid,omitempty"`
+ // The BCP-47 language code, such as "en-US" or "sr-Latn". For more
+ // information, see
+ // http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
+ LanguageCode string `protobuf:"bytes,2,opt,name=language_code,json=languageCode,proto3" json:"language_code,omitempty"`
+ // Object name, expressed in its `language_code` language.
+ Name string `protobuf:"bytes,3,opt,name=name,proto3" json:"name,omitempty"`
+ // Score of the result. Range [0, 1].
+ Score float32 `protobuf:"fixed32,4,opt,name=score,proto3" json:"score,omitempty"`
+ XXX_NoUnkeyedLiteral struct{} `json:"-"`
+ XXX_unrecognized []byte `json:"-"`
+ XXX_sizecache int32 `json:"-"`
+}
+
+func (m *ProductSearchResults_ObjectAnnotation) Reset() { *m = ProductSearchResults_ObjectAnnotation{} }
+func (m *ProductSearchResults_ObjectAnnotation) String() string { return proto.CompactTextString(m) }
+func (*ProductSearchResults_ObjectAnnotation) ProtoMessage() {}
+func (*ProductSearchResults_ObjectAnnotation) Descriptor() ([]byte, []int) {
+ return fileDescriptor_4fdf2c80d2106c63, []int{1, 1}
+}
+
+func (m *ProductSearchResults_ObjectAnnotation) XXX_Unmarshal(b []byte) error {
+ return xxx_messageInfo_ProductSearchResults_ObjectAnnotation.Unmarshal(m, b)
+}
+func (m *ProductSearchResults_ObjectAnnotation) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
+ return xxx_messageInfo_ProductSearchResults_ObjectAnnotation.Marshal(b, m, deterministic)
+}
+func (m *ProductSearchResults_ObjectAnnotation) XXX_Merge(src proto.Message) {
+ xxx_messageInfo_ProductSearchResults_ObjectAnnotation.Merge(m, src)
+}
+func (m *ProductSearchResults_ObjectAnnotation) XXX_Size() int {
+ return xxx_messageInfo_ProductSearchResults_ObjectAnnotation.Size(m)
+}
+func (m *ProductSearchResults_ObjectAnnotation) XXX_DiscardUnknown() {
+ xxx_messageInfo_ProductSearchResults_ObjectAnnotation.DiscardUnknown(m)
+}
+
+var xxx_messageInfo_ProductSearchResults_ObjectAnnotation proto.InternalMessageInfo
+
+func (m *ProductSearchResults_ObjectAnnotation) GetMid() string {
+ if m != nil {
+ return m.Mid
+ }
+ return ""
+}
+
+func (m *ProductSearchResults_ObjectAnnotation) GetLanguageCode() string {
+ if m != nil {
+ return m.LanguageCode
+ }
+ return ""
+}
+
+func (m *ProductSearchResults_ObjectAnnotation) GetName() string {
+ if m != nil {
+ return m.Name
+ }
+ return ""
+}
+
+func (m *ProductSearchResults_ObjectAnnotation) GetScore() float32 {
+ if m != nil {
+ return m.Score
+ }
+ return 0
+}
+
// Information about the products similar to a single product in a query
// image.
type ProductSearchResults_GroupedResult struct {
// The bounding polygon around the product detected in the query image.
BoundingPoly *BoundingPoly `protobuf:"bytes,1,opt,name=bounding_poly,json=boundingPoly,proto3" json:"bounding_poly,omitempty"`
// List of results, one for each product match.
- Results []*ProductSearchResults_Result `protobuf:"bytes,2,rep,name=results,proto3" json:"results,omitempty"`
- XXX_NoUnkeyedLiteral struct{} `json:"-"`
- XXX_unrecognized []byte `json:"-"`
- XXX_sizecache int32 `json:"-"`
+ Results []*ProductSearchResults_Result `protobuf:"bytes,2,rep,name=results,proto3" json:"results,omitempty"`
+ // List of generic predictions for the object in the bounding box.
+ ObjectAnnotations []*ProductSearchResults_ObjectAnnotation `protobuf:"bytes,3,rep,name=object_annotations,json=objectAnnotations,proto3" json:"object_annotations,omitempty"`
+ XXX_NoUnkeyedLiteral struct{} `json:"-"`
+ XXX_unrecognized []byte `json:"-"`
+ XXX_sizecache int32 `json:"-"`
}
func (m *ProductSearchResults_GroupedResult) Reset() { *m = ProductSearchResults_GroupedResult{} }
func (m *ProductSearchResults_GroupedResult) String() string { return proto.CompactTextString(m) }
func (*ProductSearchResults_GroupedResult) ProtoMessage() {}
func (*ProductSearchResults_GroupedResult) Descriptor() ([]byte, []int) {
- return fileDescriptor_4fdf2c80d2106c63, []int{1, 1}
+ return fileDescriptor_4fdf2c80d2106c63, []int{1, 2}
}
func (m *ProductSearchResults_GroupedResult) XXX_Unmarshal(b []byte) error {
@@ -285,10 +357,18 @@
return nil
}
+func (m *ProductSearchResults_GroupedResult) GetObjectAnnotations() []*ProductSearchResults_ObjectAnnotation {
+ if m != nil {
+ return m.ObjectAnnotations
+ }
+ return nil
+}
+
func init() {
proto.RegisterType((*ProductSearchParams)(nil), "google.cloud.vision.v1.ProductSearchParams")
proto.RegisterType((*ProductSearchResults)(nil), "google.cloud.vision.v1.ProductSearchResults")
proto.RegisterType((*ProductSearchResults_Result)(nil), "google.cloud.vision.v1.ProductSearchResults.Result")
+ proto.RegisterType((*ProductSearchResults_ObjectAnnotation)(nil), "google.cloud.vision.v1.ProductSearchResults.ObjectAnnotation")
proto.RegisterType((*ProductSearchResults_GroupedResult)(nil), "google.cloud.vision.v1.ProductSearchResults.GroupedResult")
}
@@ -297,36 +377,41 @@
}
var fileDescriptor_4fdf2c80d2106c63 = []byte{
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+ // 565 bytes of a gzipped FileDescriptorProto
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}
diff --git a/googleapis/cloud/vision/v1/product_search_service.pb.go b/googleapis/cloud/vision/v1/product_search_service.pb.go
index 7179e2a..17d64ad 100644
--- a/googleapis/cloud/vision/v1/product_search_service.pb.go
+++ b/googleapis/cloud/vision/v1/product_search_service.pb.go
@@ -89,10 +89,8 @@
Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`
// The category for the product identified by the reference image. This should
// be either "homegoods-v2", "apparel-v2", or "toys-v2". The legacy categories
- // "homegoods", "apparel", and "toys" are still supported but will be
- // deprecated. For new products, please use "homegoods-v2", "apparel-v2", or
- // "toys-v2" for better product search accuracy. It is recommended to migrate
- // existing products to these categories as well.
+ // "homegoods", "apparel", and "toys" are still supported, but these should
+ // not be used for new products.
//
// This field is immutable.
ProductCategory string `protobuf:"bytes,4,opt,name=product_category,json=productCategory,proto3" json:"product_category,omitempty"`
@@ -104,7 +102,11 @@
// to be supported soon.
//
// Multiple values can be assigned to the same key. One product may have up to
- // 100 product_labels.
+ // 500 product_labels.
+ //
+ // Notice that the total number of distinct product_labels over all products
+ // in one ProductSet cannot exceed 1M, otherwise the product search pipeline
+ // will refuse to work for that ProductSet.
ProductLabels []*Product_KeyValue `protobuf:"bytes,5,rep,name=product_labels,json=productLabels,proto3" json:"product_labels,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
@@ -1876,6 +1878,153 @@
return nil
}
+// Config to control which ProductSet contains the Products to be deleted.
+type ProductSetPurgeConfig struct {
+ // The ProductSet that contains the Products to delete. If a Product is a
+ // member of product_set_id in addition to other ProductSets, the Product will
+ // still be deleted.
+ ProductSetId string `protobuf:"bytes,1,opt,name=product_set_id,json=productSetId,proto3" json:"product_set_id,omitempty"`
+ XXX_NoUnkeyedLiteral struct{} `json:"-"`
+ XXX_unrecognized []byte `json:"-"`
+ XXX_sizecache int32 `json:"-"`
+}
+
+func (m *ProductSetPurgeConfig) Reset() { *m = ProductSetPurgeConfig{} }
+func (m *ProductSetPurgeConfig) String() string { return proto.CompactTextString(m) }
+func (*ProductSetPurgeConfig) ProtoMessage() {}
+func (*ProductSetPurgeConfig) Descriptor() ([]byte, []int) {
+ return fileDescriptor_7cf22baa8e45dc96, []int{29}
+}
+
+func (m *ProductSetPurgeConfig) XXX_Unmarshal(b []byte) error {
+ return xxx_messageInfo_ProductSetPurgeConfig.Unmarshal(m, b)
+}
+func (m *ProductSetPurgeConfig) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
+ return xxx_messageInfo_ProductSetPurgeConfig.Marshal(b, m, deterministic)
+}
+func (m *ProductSetPurgeConfig) XXX_Merge(src proto.Message) {
+ xxx_messageInfo_ProductSetPurgeConfig.Merge(m, src)
+}
+func (m *ProductSetPurgeConfig) XXX_Size() int {
+ return xxx_messageInfo_ProductSetPurgeConfig.Size(m)
+}
+func (m *ProductSetPurgeConfig) XXX_DiscardUnknown() {
+ xxx_messageInfo_ProductSetPurgeConfig.DiscardUnknown(m)
+}
+
+var xxx_messageInfo_ProductSetPurgeConfig proto.InternalMessageInfo
+
+func (m *ProductSetPurgeConfig) GetProductSetId() string {
+ if m != nil {
+ return m.ProductSetId
+ }
+ return ""
+}
+
+// Request message for the `PurgeProducts` method.
+type PurgeProductsRequest struct {
+ // The Products to delete.
+ //
+ // Types that are valid to be assigned to Target:
+ // *PurgeProductsRequest_ProductSetPurgeConfig
+ // *PurgeProductsRequest_DeleteOrphanProducts
+ Target isPurgeProductsRequest_Target `protobuf_oneof:"target"`
+ // The project and location in which the Products should be deleted.
+ //
+ // Format is `projects/PROJECT_ID/locations/LOC_ID`.
+ Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
+ // The default value is false. Override this value to true to actually perform
+ // the purge.
+ Force bool `protobuf:"varint,4,opt,name=force,proto3" json:"force,omitempty"`
+ XXX_NoUnkeyedLiteral struct{} `json:"-"`
+ XXX_unrecognized []byte `json:"-"`
+ XXX_sizecache int32 `json:"-"`
+}
+
+func (m *PurgeProductsRequest) Reset() { *m = PurgeProductsRequest{} }
+func (m *PurgeProductsRequest) String() string { return proto.CompactTextString(m) }
+func (*PurgeProductsRequest) ProtoMessage() {}
+func (*PurgeProductsRequest) Descriptor() ([]byte, []int) {
+ return fileDescriptor_7cf22baa8e45dc96, []int{30}
+}
+
+func (m *PurgeProductsRequest) XXX_Unmarshal(b []byte) error {
+ return xxx_messageInfo_PurgeProductsRequest.Unmarshal(m, b)
+}
+func (m *PurgeProductsRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
+ return xxx_messageInfo_PurgeProductsRequest.Marshal(b, m, deterministic)
+}
+func (m *PurgeProductsRequest) XXX_Merge(src proto.Message) {
+ xxx_messageInfo_PurgeProductsRequest.Merge(m, src)
+}
+func (m *PurgeProductsRequest) XXX_Size() int {
+ return xxx_messageInfo_PurgeProductsRequest.Size(m)
+}
+func (m *PurgeProductsRequest) XXX_DiscardUnknown() {
+ xxx_messageInfo_PurgeProductsRequest.DiscardUnknown(m)
+}
+
+var xxx_messageInfo_PurgeProductsRequest proto.InternalMessageInfo
+
+type isPurgeProductsRequest_Target interface {
+ isPurgeProductsRequest_Target()
+}
+
+type PurgeProductsRequest_ProductSetPurgeConfig struct {
+ ProductSetPurgeConfig *ProductSetPurgeConfig `protobuf:"bytes,2,opt,name=product_set_purge_config,json=productSetPurgeConfig,proto3,oneof"`
+}
+
+type PurgeProductsRequest_DeleteOrphanProducts struct {
+ DeleteOrphanProducts bool `protobuf:"varint,3,opt,name=delete_orphan_products,json=deleteOrphanProducts,proto3,oneof"`
+}
+
+func (*PurgeProductsRequest_ProductSetPurgeConfig) isPurgeProductsRequest_Target() {}
+
+func (*PurgeProductsRequest_DeleteOrphanProducts) isPurgeProductsRequest_Target() {}
+
+func (m *PurgeProductsRequest) GetTarget() isPurgeProductsRequest_Target {
+ if m != nil {
+ return m.Target
+ }
+ return nil
+}
+
+func (m *PurgeProductsRequest) GetProductSetPurgeConfig() *ProductSetPurgeConfig {
+ if x, ok := m.GetTarget().(*PurgeProductsRequest_ProductSetPurgeConfig); ok {
+ return x.ProductSetPurgeConfig
+ }
+ return nil
+}
+
+func (m *PurgeProductsRequest) GetDeleteOrphanProducts() bool {
+ if x, ok := m.GetTarget().(*PurgeProductsRequest_DeleteOrphanProducts); ok {
+ return x.DeleteOrphanProducts
+ }
+ return false
+}
+
+func (m *PurgeProductsRequest) GetParent() string {
+ if m != nil {
+ return m.Parent
+ }
+ return ""
+}
+
+func (m *PurgeProductsRequest) GetForce() bool {
+ if m != nil {
+ return m.Force
+ }
+ return false
+}
+
+// XXX_OneofWrappers is for the internal use of the proto package.
+func (*PurgeProductsRequest) XXX_OneofWrappers() []interface{} {
+ return []interface{}{
+ (*PurgeProductsRequest_ProductSetPurgeConfig)(nil),
+ (*PurgeProductsRequest_DeleteOrphanProducts)(nil),
+ }
+}
+
func init() {
proto.RegisterEnum("google.cloud.vision.v1.BatchOperationMetadata_State", BatchOperationMetadata_State_name, BatchOperationMetadata_State_value)
proto.RegisterType((*Product)(nil), "google.cloud.vision.v1.Product")
@@ -1908,6 +2057,8 @@
proto.RegisterType((*ImportProductSetsRequest)(nil), "google.cloud.vision.v1.ImportProductSetsRequest")
proto.RegisterType((*ImportProductSetsResponse)(nil), "google.cloud.vision.v1.ImportProductSetsResponse")
proto.RegisterType((*BatchOperationMetadata)(nil), "google.cloud.vision.v1.BatchOperationMetadata")
+ proto.RegisterType((*ProductSetPurgeConfig)(nil), "google.cloud.vision.v1.ProductSetPurgeConfig")
+ proto.RegisterType((*PurgeProductsRequest)(nil), "google.cloud.vision.v1.PurgeProductsRequest")
}
func init() {
@@ -1915,123 +2066,135 @@
}
var fileDescriptor_7cf22baa8e45dc96 = []byte{
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+ 0x6c, 0x7d, 0xfc, 0xb2, 0x1e, 0x00, 0x00,
}
// Reference imports to suppress errors if they are not otherwise used.
@@ -2196,6 +2359,31 @@
// For the format of the csv file please see
// [ImportProductSetsGcsSource.csv_file_uri][google.cloud.vision.v1.ImportProductSetsGcsSource.csv_file_uri].
ImportProductSets(ctx context.Context, in *ImportProductSetsRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
+ // Asynchronous API to delete all Products in a ProductSet or all Products
+ // that are in no ProductSet.
+ //
+ // If a Product is a member of the specified ProductSet in addition to other
+ // ProductSets, the Product will still be deleted.
+ //
+ // It is recommended to not delete the specified ProductSet until after this
+ // operation has completed. It is also recommended to not add any of the
+ // Products involved in the batch delete to a new ProductSet while this
+ // operation is running because those Products may still end up deleted.
+ //
+ // It's not possible to undo the PurgeProducts operation. Therefore, it is
+ // recommended to keep the csv files used in ImportProductSets (if that was
+ // how you originally built the Product Set) before starting PurgeProducts, in
+ // case you need to re-import the data after deletion.
+ //
+ // If the plan is to purge all of the Products from a ProductSet and then
+ // re-use the empty ProductSet to re-import new Products into the empty
+ // ProductSet, you must wait until the PurgeProducts operation has finished
+ // for that ProductSet.
+ //
+ // The [google.longrunning.Operation][google.longrunning.Operation] API can be
+ // used to keep track of the progress and results of the request.
+ // `Operation.metadata` contains `BatchOperationMetadata`. (progress)
+ PurgeProducts(ctx context.Context, in *PurgeProductsRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
}
type productSearchClient struct {
@@ -2368,6 +2556,15 @@
return out, nil
}
+func (c *productSearchClient) PurgeProducts(ctx context.Context, in *PurgeProductsRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) {
+ out := new(longrunning.Operation)
+ err := c.cc.Invoke(ctx, "/google.cloud.vision.v1.ProductSearch/PurgeProducts", in, out, opts...)
+ if err != nil {
+ return nil, err
+ }
+ return out, nil
+}
+
// ProductSearchServer is the server API for ProductSearch service.
type ProductSearchServer interface {
// Creates and returns a new ProductSet resource.
@@ -2520,6 +2717,31 @@
// For the format of the csv file please see
// [ImportProductSetsGcsSource.csv_file_uri][google.cloud.vision.v1.ImportProductSetsGcsSource.csv_file_uri].
ImportProductSets(context.Context, *ImportProductSetsRequest) (*longrunning.Operation, error)
+ // Asynchronous API to delete all Products in a ProductSet or all Products
+ // that are in no ProductSet.
+ //
+ // If a Product is a member of the specified ProductSet in addition to other
+ // ProductSets, the Product will still be deleted.
+ //
+ // It is recommended to not delete the specified ProductSet until after this
+ // operation has completed. It is also recommended to not add any of the
+ // Products involved in the batch delete to a new ProductSet while this
+ // operation is running because those Products may still end up deleted.
+ //
+ // It's not possible to undo the PurgeProducts operation. Therefore, it is
+ // recommended to keep the csv files used in ImportProductSets (if that was
+ // how you originally built the Product Set) before starting PurgeProducts, in
+ // case you need to re-import the data after deletion.
+ //
+ // If the plan is to purge all of the Products from a ProductSet and then
+ // re-use the empty ProductSet to re-import new Products into the empty
+ // ProductSet, you must wait until the PurgeProducts operation has finished
+ // for that ProductSet.
+ //
+ // The [google.longrunning.Operation][google.longrunning.Operation] API can be
+ // used to keep track of the progress and results of the request.
+ // `Operation.metadata` contains `BatchOperationMetadata`. (progress)
+ PurgeProducts(context.Context, *PurgeProductsRequest) (*longrunning.Operation, error)
}
func RegisterProductSearchServer(s *grpc.Server, srv ProductSearchServer) {
@@ -2850,6 +3072,24 @@
return interceptor(ctx, in, info, handler)
}
+func _ProductSearch_PurgeProducts_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
+ in := new(PurgeProductsRequest)
+ if err := dec(in); err != nil {
+ return nil, err
+ }
+ if interceptor == nil {
+ return srv.(ProductSearchServer).PurgeProducts(ctx, in)
+ }
+ info := &grpc.UnaryServerInfo{
+ Server: srv,
+ FullMethod: "/google.cloud.vision.v1.ProductSearch/PurgeProducts",
+ }
+ handler := func(ctx context.Context, req interface{}) (interface{}, error) {
+ return srv.(ProductSearchServer).PurgeProducts(ctx, req.(*PurgeProductsRequest))
+ }
+ return interceptor(ctx, in, info, handler)
+}
+
var _ProductSearch_serviceDesc = grpc.ServiceDesc{
ServiceName: "google.cloud.vision.v1.ProductSearch",
HandlerType: (*ProductSearchServer)(nil),
@@ -2926,6 +3166,10 @@
MethodName: "ImportProductSets",
Handler: _ProductSearch_ImportProductSets_Handler,
},
+ {
+ MethodName: "PurgeProducts",
+ Handler: _ProductSearch_PurgeProducts_Handler,
+ },
},
Streams: []grpc.StreamDesc{},
Metadata: "google/cloud/vision/v1/product_search_service.proto",
diff --git a/googleapis/cloud/vision/v1/text_annotation.pb.go b/googleapis/cloud/vision/v1/text_annotation.pb.go
index 7565a59..6e60e55 100644
--- a/googleapis/cloud/vision/v1/text_annotation.pb.go
+++ b/googleapis/cloud/vision/v1/text_annotation.pb.go
@@ -515,7 +515,7 @@
// 1----0
// and the vertex order will still be (0, 1, 2, 3).
BoundingBox *BoundingPoly `protobuf:"bytes,2,opt,name=bounding_box,json=boundingBox,proto3" json:"bounding_box,omitempty"`
- // List of words in this paragraph.
+ // List of all words in this paragraph.
Words []*Word `protobuf:"bytes,3,rep,name=words,proto3" json:"words,omitempty"`
// Confidence of the OCR results for the paragraph. Range [0, 1].
Confidence float32 `protobuf:"fixed32,4,opt,name=confidence,proto3" json:"confidence,omitempty"`
@@ -678,7 +678,7 @@
// 2----3
// | |
// 1----0
- // and the vertice order will still be (0, 1, 2, 3).
+ // and the vertex order will still be (0, 1, 2, 3).
BoundingBox *BoundingPoly `protobuf:"bytes,2,opt,name=bounding_box,json=boundingBox,proto3" json:"bounding_box,omitempty"`
// The actual UTF-8 representation of the symbol.
Text string `protobuf:"bytes,3,opt,name=text,proto3" json:"text,omitempty"`
diff --git a/googleapis/cloud/vision/v1/web_detection.pb.go b/googleapis/cloud/vision/v1/web_detection.pb.go
index b4d80d4..f726f6e 100644
--- a/googleapis/cloud/vision/v1/web_detection.pb.go
+++ b/googleapis/cloud/vision/v1/web_detection.pb.go
@@ -222,58 +222,6 @@
return 0
}
-// Label to provide extra metadata for the web detection.
-type WebDetection_WebLabel struct {
- // Label for extra metadata.
- Label string `protobuf:"bytes,1,opt,name=label,proto3" json:"label,omitempty"`
- // The BCP-47 language code for `label`, such as "en-US" or "sr-Latn".
- // For more information, see
- // http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
- LanguageCode string `protobuf:"bytes,2,opt,name=language_code,json=languageCode,proto3" json:"language_code,omitempty"`
- XXX_NoUnkeyedLiteral struct{} `json:"-"`
- XXX_unrecognized []byte `json:"-"`
- XXX_sizecache int32 `json:"-"`
-}
-
-func (m *WebDetection_WebLabel) Reset() { *m = WebDetection_WebLabel{} }
-func (m *WebDetection_WebLabel) String() string { return proto.CompactTextString(m) }
-func (*WebDetection_WebLabel) ProtoMessage() {}
-func (*WebDetection_WebLabel) Descriptor() ([]byte, []int) {
- return fileDescriptor_894df371610d13f4, []int{0, 2}
-}
-
-func (m *WebDetection_WebLabel) XXX_Unmarshal(b []byte) error {
- return xxx_messageInfo_WebDetection_WebLabel.Unmarshal(m, b)
-}
-func (m *WebDetection_WebLabel) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
- return xxx_messageInfo_WebDetection_WebLabel.Marshal(b, m, deterministic)
-}
-func (m *WebDetection_WebLabel) XXX_Merge(src proto.Message) {
- xxx_messageInfo_WebDetection_WebLabel.Merge(m, src)
-}
-func (m *WebDetection_WebLabel) XXX_Size() int {
- return xxx_messageInfo_WebDetection_WebLabel.Size(m)
-}
-func (m *WebDetection_WebLabel) XXX_DiscardUnknown() {
- xxx_messageInfo_WebDetection_WebLabel.DiscardUnknown(m)
-}
-
-var xxx_messageInfo_WebDetection_WebLabel proto.InternalMessageInfo
-
-func (m *WebDetection_WebLabel) GetLabel() string {
- if m != nil {
- return m.Label
- }
- return ""
-}
-
-func (m *WebDetection_WebLabel) GetLanguageCode() string {
- if m != nil {
- return m.LanguageCode
- }
- return ""
-}
-
// Metadata for web pages.
type WebDetection_WebPage struct {
// The result web page URL.
@@ -299,7 +247,7 @@
func (m *WebDetection_WebPage) String() string { return proto.CompactTextString(m) }
func (*WebDetection_WebPage) ProtoMessage() {}
func (*WebDetection_WebPage) Descriptor() ([]byte, []int) {
- return fileDescriptor_894df371610d13f4, []int{0, 3}
+ return fileDescriptor_894df371610d13f4, []int{0, 2}
}
func (m *WebDetection_WebPage) XXX_Unmarshal(b []byte) error {
@@ -355,12 +303,64 @@
return nil
}
+// Label to provide extra metadata for the web detection.
+type WebDetection_WebLabel struct {
+ // Label for extra metadata.
+ Label string `protobuf:"bytes,1,opt,name=label,proto3" json:"label,omitempty"`
+ // The BCP-47 language code for `label`, such as "en-US" or "sr-Latn".
+ // For more information, see
+ // http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
+ LanguageCode string `protobuf:"bytes,2,opt,name=language_code,json=languageCode,proto3" json:"language_code,omitempty"`
+ XXX_NoUnkeyedLiteral struct{} `json:"-"`
+ XXX_unrecognized []byte `json:"-"`
+ XXX_sizecache int32 `json:"-"`
+}
+
+func (m *WebDetection_WebLabel) Reset() { *m = WebDetection_WebLabel{} }
+func (m *WebDetection_WebLabel) String() string { return proto.CompactTextString(m) }
+func (*WebDetection_WebLabel) ProtoMessage() {}
+func (*WebDetection_WebLabel) Descriptor() ([]byte, []int) {
+ return fileDescriptor_894df371610d13f4, []int{0, 3}
+}
+
+func (m *WebDetection_WebLabel) XXX_Unmarshal(b []byte) error {
+ return xxx_messageInfo_WebDetection_WebLabel.Unmarshal(m, b)
+}
+func (m *WebDetection_WebLabel) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
+ return xxx_messageInfo_WebDetection_WebLabel.Marshal(b, m, deterministic)
+}
+func (m *WebDetection_WebLabel) XXX_Merge(src proto.Message) {
+ xxx_messageInfo_WebDetection_WebLabel.Merge(m, src)
+}
+func (m *WebDetection_WebLabel) XXX_Size() int {
+ return xxx_messageInfo_WebDetection_WebLabel.Size(m)
+}
+func (m *WebDetection_WebLabel) XXX_DiscardUnknown() {
+ xxx_messageInfo_WebDetection_WebLabel.DiscardUnknown(m)
+}
+
+var xxx_messageInfo_WebDetection_WebLabel proto.InternalMessageInfo
+
+func (m *WebDetection_WebLabel) GetLabel() string {
+ if m != nil {
+ return m.Label
+ }
+ return ""
+}
+
+func (m *WebDetection_WebLabel) GetLanguageCode() string {
+ if m != nil {
+ return m.LanguageCode
+ }
+ return ""
+}
+
func init() {
proto.RegisterType((*WebDetection)(nil), "google.cloud.vision.v1.WebDetection")
proto.RegisterType((*WebDetection_WebEntity)(nil), "google.cloud.vision.v1.WebDetection.WebEntity")
proto.RegisterType((*WebDetection_WebImage)(nil), "google.cloud.vision.v1.WebDetection.WebImage")
- proto.RegisterType((*WebDetection_WebLabel)(nil), "google.cloud.vision.v1.WebDetection.WebLabel")
proto.RegisterType((*WebDetection_WebPage)(nil), "google.cloud.vision.v1.WebDetection.WebPage")
+ proto.RegisterType((*WebDetection_WebLabel)(nil), "google.cloud.vision.v1.WebDetection.WebLabel")
}
func init() {
@@ -368,37 +368,37 @@
}
var fileDescriptor_894df371610d13f4 = []byte{
- // 511 bytes of a gzipped FileDescriptorProto
- 0x1f, 0x8b, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0xff, 0xbc, 0x94, 0xdf, 0x6e, 0xd3, 0x30,
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- 0xe2, 0x77, 0x00, 0x00, 0x00, 0xff, 0xff, 0x38, 0x42, 0x3a, 0x04, 0x36, 0x05, 0x00, 0x00,
+ // 512 bytes of a gzipped FileDescriptorProto
+ 0x1f, 0x8b, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0xff, 0xbc, 0x94, 0x51, 0x6f, 0xd3, 0x30,
+ 0x10, 0xc7, 0x95, 0xb6, 0x1b, 0xad, 0x5b, 0x04, 0xb3, 0x06, 0x8b, 0x02, 0x48, 0x15, 0xbc, 0x54,
+ 0x08, 0x12, 0x6d, 0x3c, 0xc2, 0xd3, 0xc6, 0x34, 0x4d, 0x02, 0x54, 0x02, 0x62, 0x82, 0x17, 0xe3,
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+ 0x23, 0x3a, 0xdb, 0x45, 0xd5, 0xba, 0x49, 0x65, 0x42, 0xbc, 0xdd, 0x5d, 0xee, 0xff, 0xfb, 0xdb,
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}
diff --git a/googleapis/cloud/vision/v1p4beta1/image_annotator.pb.go b/googleapis/cloud/vision/v1p4beta1/image_annotator.pb.go
index 1e48657..c6aa09a 100644
--- a/googleapis/cloud/vision/v1p4beta1/image_annotator.pb.go
+++ b/googleapis/cloud/vision/v1p4beta1/image_annotator.pb.go
@@ -3063,9 +3063,10 @@
// Service that performs image detection and annotation for a batch of files.
// Now only "application/pdf", "image/tiff" and "image/gif" are supported.
//
- // This service will extract at most the first 10 frames (gif) or pages
- // (pdf or tiff) from each file provided and perform detection and annotation
- // for each image extracted.
+ // This service will extract at most 5 (customers can specify which 5 in
+ // AnnotateFileRequest.pages) frames (gif) or pages (pdf or tiff) from each
+ // file provided and perform detection and annotation for each image
+ // extracted.
BatchAnnotateFiles(ctx context.Context, in *BatchAnnotateFilesRequest, opts ...grpc.CallOption) (*BatchAnnotateFilesResponse, error)
// Run asynchronous image detection and annotation for a list of images.
//
@@ -3137,9 +3138,10 @@
// Service that performs image detection and annotation for a batch of files.
// Now only "application/pdf", "image/tiff" and "image/gif" are supported.
//
- // This service will extract at most the first 10 frames (gif) or pages
- // (pdf or tiff) from each file provided and perform detection and annotation
- // for each image extracted.
+ // This service will extract at most 5 (customers can specify which 5 in
+ // AnnotateFileRequest.pages) frames (gif) or pages (pdf or tiff) from each
+ // file provided and perform detection and annotation for each image
+ // extracted.
BatchAnnotateFiles(context.Context, *BatchAnnotateFilesRequest) (*BatchAnnotateFilesResponse, error)
// Run asynchronous image detection and annotation for a list of images.
//
diff --git a/googleapis/iam/v1/policy.pb.go b/googleapis/iam/v1/policy.pb.go
index 1630167..275cfce 100644
--- a/googleapis/iam/v1/policy.pb.go
+++ b/googleapis/iam/v1/policy.pb.go
@@ -147,7 +147,7 @@
// ensure that their change will be applied to the same version of the policy.
//
// If no `etag` is provided in the call to `setIamPolicy`, then the existing
- // policy is overwritten blindly.
+ // policy is overwritten.
Etag []byte `protobuf:"bytes,3,opt,name=etag,proto3" json:"etag,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
@@ -215,7 +215,7 @@
// who is authenticated with a Google account or a service account.
//
// * `user:{emailid}`: An email address that represents a specific Google
- // account. For example, `alice@gmail.com` .
+ // account. For example, `alice@example.com` .
//
//
// * `serviceAccount:{emailid}`: An email address that represents a service
@@ -350,8 +350,8 @@
// Follows the same format of Binding.members.
// Required
Member string `protobuf:"bytes,3,opt,name=member,proto3" json:"member,omitempty"`
- // Unimplemented. The condition that is associated with this binding.
- // This field is logged only for Cloud Audit Logging.
+ // The condition that is associated with this binding. This field is logged
+ // only for Cloud Audit Logging.
Condition *expr.Expr `protobuf:"bytes,4,opt,name=condition,proto3" json:"condition,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
diff --git a/googleapis/pubsub/v1/pubsub.pb.go b/googleapis/pubsub/v1/pubsub.pb.go
index 4327f86..b6915b4 100644
--- a/googleapis/pubsub/v1/pubsub.pb.go
+++ b/googleapis/pubsub/v1/pubsub.pb.go
@@ -29,12 +29,11 @@
const _ = proto.ProtoPackageIsVersion3 // please upgrade the proto package
type MessageStoragePolicy struct {
- // The list of GCP region IDs where messages that are published to the topic
+ // A list of IDs of GCP regions where messages that are published to the topic
// may be persisted in storage. Messages published by publishers running in
// non-allowed GCP regions (or running outside of GCP altogether) will be
- // routed for storage in one of the allowed regions. An empty list indicates a
- // misconfiguration at the project or organization level, which will result in
- // all Publish operations failing.
+ // routed for storage in one of the allowed regions. An empty list means that
+ // no regions are allowed, and is not a valid configuration.
AllowedPersistenceRegions []string `protobuf:"bytes,1,rep,name=allowed_persistence_regions,json=allowedPersistenceRegions,proto3" json:"allowed_persistence_regions,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
@@ -85,20 +84,14 @@
// See <a href="https://cloud.google.com/pubsub/docs/labels"> Creating and
// managing labels</a>.
Labels map[string]string `protobuf:"bytes,2,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
- // Policy constraining how messages published to the topic may be stored. It
- // is determined when the topic is created based on the policy configured at
- // the project level. It must not be set by the caller in the request to
- // CreateTopic or to UpdateTopic. This field will be populated in the
- // responses for GetTopic, CreateTopic, and UpdateTopic: if not present in the
- // response, then no constraints are in effect.
+ // Policy constraining the set of Google Cloud Platform regions where messages
+ // published to the topic may be stored. If not present, then no constraints
+ // are in effect.
MessageStoragePolicy *MessageStoragePolicy `protobuf:"bytes,3,opt,name=message_storage_policy,json=messageStoragePolicy,proto3" json:"message_storage_policy,omitempty"`
// The resource name of the Cloud KMS CryptoKey to be used to protect access
// to messages published on this topic.
//
// The expected format is `projects/*/locations/*/keyRings/*/cryptoKeys/*`.
- // <b>EXPERIMENTAL:</b> This feature is part of a closed alpha release. This
- // API might be changed in backward-incompatible ways and is not recommended
- // for production use. It is not subject to any SLA or deprecation policy.
KmsKeyName string `protobuf:"bytes,5,opt,name=kms_key_name,json=kmsKeyName,proto3" json:"kms_key_name,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
@@ -1044,27 +1037,27 @@
// A URL locating the endpoint to which messages should be pushed.
// For example, a Webhook endpoint might use "https://example.com/push".
PushEndpoint string `protobuf:"bytes,1,opt,name=push_endpoint,json=pushEndpoint,proto3" json:"push_endpoint,omitempty"`
- // Endpoint configuration attributes.
+ // Endpoint configuration attributes that can be used to control different
+ // aspects of the message delivery.
//
- // Every endpoint has a set of API supported attributes that can be used to
- // control different aspects of the message delivery.
- //
- // The currently supported attribute is `x-goog-version`, which you can
+ // The only currently supported attribute is `x-goog-version`, which you can
// use to change the format of the pushed message. This attribute
// indicates the version of the data expected by the endpoint. This
// controls the shape of the pushed message (i.e., its fields and metadata).
- // The endpoint version is based on the version of the Pub/Sub API.
//
// If not present during the `CreateSubscription` call, it will default to
- // the version of the API used to make such call. If not present during a
+ // the version of the Pub/Sub API used to make such call. If not present in a
// `ModifyPushConfig` call, its value will not be changed. `GetSubscription`
// calls will always return a valid version, even if the subscription was
// created without this attribute.
//
- // The possible values for this attribute are:
+ // The only supported values for the `x-goog-version` attribute are:
//
// * `v1beta1`: uses the push format defined in the v1beta1 Pub/Sub API.
// * `v1` or `v1beta2`: uses the push format defined in the v1 Pub/Sub API.
+ //
+ // For example:
+ // <pre><code>attributes { "x-goog-version": "v1" } </code></pre>
Attributes map[string]string `protobuf:"bytes,2,rep,name=attributes,proto3" json:"attributes,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
// An authentication method used by push endpoints to verify the source of
// push requests. This can be used with push endpoints that are private by
@@ -2517,159 +2510,162 @@
func init() { proto.RegisterFile("google/pubsub/v1/pubsub.proto", fileDescriptor_f602d910f9a348fe) }
var fileDescriptor_f602d910f9a348fe = []byte{
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}
// Reference imports to suppress errors if they are not otherwise used.
