| // Copyright 2024 Google LLC |
| // |
| // Licensed under the Apache License, Version 2.0 (the "License"); |
| // you may not use this file except in compliance with the License. |
| // You may obtain a copy of the License at |
| // |
| // http://www.apache.org/licenses/LICENSE-2.0 |
| // |
| // Unless required by applicable law or agreed to in writing, software |
| // distributed under the License is distributed on an "AS IS" BASIS, |
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| // See the License for the specific language governing permissions and |
| // limitations under the License. |
| |
| // Code generated by protoc-gen-go. DO NOT EDIT. |
| // versions: |
| // protoc-gen-go v1.33.0 |
| // protoc v4.25.3 |
| // source: google/cloud/aiplatform/v1beta1/model_monitoring_spec.proto |
| |
| package aiplatformpb |
| |
| import ( |
| reflect "reflect" |
| sync "sync" |
| |
| _ "google.golang.org/genproto/googleapis/api/annotations" |
| interval "google.golang.org/genproto/googleapis/type/interval" |
| protoreflect "google.golang.org/protobuf/reflect/protoreflect" |
| protoimpl "google.golang.org/protobuf/runtime/protoimpl" |
| ) |
| |
| const ( |
| // Verify that this generated code is sufficiently up-to-date. |
| _ = protoimpl.EnforceVersion(20 - protoimpl.MinVersion) |
| // Verify that runtime/protoimpl is sufficiently up-to-date. |
| _ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20) |
| ) |
| |
| // Supported data format. |
| type ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource_DataFormat int32 |
| |
| const ( |
| // Data format unspecified, used when this field is unset. |
| ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource_DATA_FORMAT_UNSPECIFIED ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource_DataFormat = 0 |
| // CSV files. |
| ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource_CSV ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource_DataFormat = 1 |
| // TfRecord files |
| ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource_TF_RECORD ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource_DataFormat = 2 |
| // JsonL files. |
| ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource_JSONL ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource_DataFormat = 3 |
| ) |
| |
| // Enum value maps for ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource_DataFormat. |
| var ( |
| ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource_DataFormat_name = map[int32]string{ |
| 0: "DATA_FORMAT_UNSPECIFIED", |
| 1: "CSV", |
| 2: "TF_RECORD", |
| 3: "JSONL", |
| } |
| ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource_DataFormat_value = map[string]int32{ |
| "DATA_FORMAT_UNSPECIFIED": 0, |
| "CSV": 1, |
| "TF_RECORD": 2, |
| "JSONL": 3, |
| } |
| ) |
| |
| func (x ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource_DataFormat) Enum() *ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource_DataFormat { |
| p := new(ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource_DataFormat) |
| *p = x |
| return p |
| } |
| |
| func (x ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource_DataFormat) String() string { |
| return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x)) |
| } |
| |
| func (ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource_DataFormat) Descriptor() protoreflect.EnumDescriptor { |
| return file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_enumTypes[0].Descriptor() |
| } |
| |
| func (ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource_DataFormat) Type() protoreflect.EnumType { |
| return &file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_enumTypes[0] |
| } |
| |
| func (x ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource_DataFormat) Number() protoreflect.EnumNumber { |
| return protoreflect.EnumNumber(x) |
| } |
| |
| // Deprecated: Use ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource_DataFormat.Descriptor instead. |
| func (ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource_DataFormat) EnumDescriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_rawDescGZIP(), []int{3, 0, 0, 0} |
| } |
| |
| // Monitoring monitoring job spec. It outlines the specifications for monitoring |
| // objectives, notifications, and result exports. |
| type ModelMonitoringSpec struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The monitoring objective spec. |
| ObjectiveSpec *ModelMonitoringObjectiveSpec `protobuf:"bytes,1,opt,name=objective_spec,json=objectiveSpec,proto3" json:"objective_spec,omitempty"` |
| // The model monitoring notification spec. |
| NotificationSpec *ModelMonitoringNotificationSpec `protobuf:"bytes,2,opt,name=notification_spec,json=notificationSpec,proto3" json:"notification_spec,omitempty"` |
| // The Output destination spec for metrics, error logs, etc. |
| OutputSpec *ModelMonitoringOutputSpec `protobuf:"bytes,3,opt,name=output_spec,json=outputSpec,proto3" json:"output_spec,omitempty"` |
| } |
| |
| func (x *ModelMonitoringSpec) Reset() { |
| *x = ModelMonitoringSpec{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[0] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ModelMonitoringSpec) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ModelMonitoringSpec) ProtoMessage() {} |
| |
| func (x *ModelMonitoringSpec) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[0] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ModelMonitoringSpec.ProtoReflect.Descriptor instead. |
| func (*ModelMonitoringSpec) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_rawDescGZIP(), []int{0} |
| } |
| |
| func (x *ModelMonitoringSpec) GetObjectiveSpec() *ModelMonitoringObjectiveSpec { |
| if x != nil { |
| return x.ObjectiveSpec |
| } |
| return nil |
| } |
| |
| func (x *ModelMonitoringSpec) GetNotificationSpec() *ModelMonitoringNotificationSpec { |
| if x != nil { |
| return x.NotificationSpec |
| } |
| return nil |
| } |
| |
| func (x *ModelMonitoringSpec) GetOutputSpec() *ModelMonitoringOutputSpec { |
| if x != nil { |
| return x.OutputSpec |
| } |
| return nil |
| } |
| |
| // Monitoring objectives spec. |
| type ModelMonitoringObjectiveSpec struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The monitoring objective. |
| // |
| // Types that are assignable to Objective: |
| // |
| // *ModelMonitoringObjectiveSpec_TabularObjective_ |
| Objective isModelMonitoringObjectiveSpec_Objective `protobuf_oneof:"objective"` |
| // The explanation spec. |
| // This spec is required when the objectives spec includes feature attribution |
| // objectives. |
| ExplanationSpec *ExplanationSpec `protobuf:"bytes,3,opt,name=explanation_spec,json=explanationSpec,proto3" json:"explanation_spec,omitempty"` |
| // Baseline dataset. |
| // It could be the training dataset or production serving dataset from a |
| // previous period. |
| BaselineDataset *ModelMonitoringInput `protobuf:"bytes,4,opt,name=baseline_dataset,json=baselineDataset,proto3" json:"baseline_dataset,omitempty"` |
| // Target dataset. |
| TargetDataset *ModelMonitoringInput `protobuf:"bytes,5,opt,name=target_dataset,json=targetDataset,proto3" json:"target_dataset,omitempty"` |
| } |
| |
| func (x *ModelMonitoringObjectiveSpec) Reset() { |
| *x = ModelMonitoringObjectiveSpec{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[1] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ModelMonitoringObjectiveSpec) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ModelMonitoringObjectiveSpec) ProtoMessage() {} |
| |
| func (x *ModelMonitoringObjectiveSpec) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[1] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ModelMonitoringObjectiveSpec.ProtoReflect.Descriptor instead. |
| func (*ModelMonitoringObjectiveSpec) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_rawDescGZIP(), []int{1} |
| } |
| |
| func (m *ModelMonitoringObjectiveSpec) GetObjective() isModelMonitoringObjectiveSpec_Objective { |
| if m != nil { |
| return m.Objective |
| } |
| return nil |
| } |
| |
| func (x *ModelMonitoringObjectiveSpec) GetTabularObjective() *ModelMonitoringObjectiveSpec_TabularObjective { |
| if x, ok := x.GetObjective().(*ModelMonitoringObjectiveSpec_TabularObjective_); ok { |
| return x.TabularObjective |
| } |
| return nil |
| } |
| |
| func (x *ModelMonitoringObjectiveSpec) GetExplanationSpec() *ExplanationSpec { |
| if x != nil { |
| return x.ExplanationSpec |
| } |
| return nil |
| } |
| |
| func (x *ModelMonitoringObjectiveSpec) GetBaselineDataset() *ModelMonitoringInput { |
| if x != nil { |
| return x.BaselineDataset |
| } |
| return nil |
| } |
| |
| func (x *ModelMonitoringObjectiveSpec) GetTargetDataset() *ModelMonitoringInput { |
| if x != nil { |
| return x.TargetDataset |
| } |
| return nil |
| } |
| |
| type isModelMonitoringObjectiveSpec_Objective interface { |
| isModelMonitoringObjectiveSpec_Objective() |
| } |
| |
| type ModelMonitoringObjectiveSpec_TabularObjective_ struct { |
| // Tabular monitoring objective. |
| TabularObjective *ModelMonitoringObjectiveSpec_TabularObjective `protobuf:"bytes,1,opt,name=tabular_objective,json=tabularObjective,proto3,oneof"` |
| } |
| |
| func (*ModelMonitoringObjectiveSpec_TabularObjective_) isModelMonitoringObjectiveSpec_Objective() {} |
| |
| // Specification for the export destination of monitoring results, including |
| // metrics, logs, etc. |
| type ModelMonitoringOutputSpec struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Google Cloud Storage base folder path for metrics, error logs, etc. |
| GcsBaseDirectory *GcsDestination `protobuf:"bytes,1,opt,name=gcs_base_directory,json=gcsBaseDirectory,proto3" json:"gcs_base_directory,omitempty"` |
| } |
| |
| func (x *ModelMonitoringOutputSpec) Reset() { |
| *x = ModelMonitoringOutputSpec{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[2] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ModelMonitoringOutputSpec) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ModelMonitoringOutputSpec) ProtoMessage() {} |
| |
| func (x *ModelMonitoringOutputSpec) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[2] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ModelMonitoringOutputSpec.ProtoReflect.Descriptor instead. |
| func (*ModelMonitoringOutputSpec) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_rawDescGZIP(), []int{2} |
| } |
| |
| func (x *ModelMonitoringOutputSpec) GetGcsBaseDirectory() *GcsDestination { |
| if x != nil { |
| return x.GcsBaseDirectory |
| } |
| return nil |
| } |
| |
| // Model monitoring data input spec. |
| type ModelMonitoringInput struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Dataset source. |
| // |
| // Types that are assignable to Dataset: |
| // |
| // *ModelMonitoringInput_ColumnizedDataset |
| // *ModelMonitoringInput_BatchPredictionOutput_ |
| // *ModelMonitoringInput_VertexEndpointLogs_ |
| Dataset isModelMonitoringInput_Dataset `protobuf_oneof:"dataset"` |
| // Time specification for the dataset. |
| // |
| // Types that are assignable to TimeSpec: |
| // |
| // *ModelMonitoringInput_TimeInterval |
| // *ModelMonitoringInput_TimeOffset_ |
| TimeSpec isModelMonitoringInput_TimeSpec `protobuf_oneof:"time_spec"` |
| } |
| |
| func (x *ModelMonitoringInput) Reset() { |
| *x = ModelMonitoringInput{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[3] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ModelMonitoringInput) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ModelMonitoringInput) ProtoMessage() {} |
| |
| func (x *ModelMonitoringInput) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[3] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ModelMonitoringInput.ProtoReflect.Descriptor instead. |
| func (*ModelMonitoringInput) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_rawDescGZIP(), []int{3} |
| } |
| |
| func (m *ModelMonitoringInput) GetDataset() isModelMonitoringInput_Dataset { |
| if m != nil { |
| return m.Dataset |
| } |
| return nil |
| } |
| |
| func (x *ModelMonitoringInput) GetColumnizedDataset() *ModelMonitoringInput_ModelMonitoringDataset { |
| if x, ok := x.GetDataset().(*ModelMonitoringInput_ColumnizedDataset); ok { |
| return x.ColumnizedDataset |
| } |
| return nil |
| } |
| |
| func (x *ModelMonitoringInput) GetBatchPredictionOutput() *ModelMonitoringInput_BatchPredictionOutput { |
| if x, ok := x.GetDataset().(*ModelMonitoringInput_BatchPredictionOutput_); ok { |
| return x.BatchPredictionOutput |
| } |
| return nil |
| } |
| |
| func (x *ModelMonitoringInput) GetVertexEndpointLogs() *ModelMonitoringInput_VertexEndpointLogs { |
| if x, ok := x.GetDataset().(*ModelMonitoringInput_VertexEndpointLogs_); ok { |
| return x.VertexEndpointLogs |
| } |
| return nil |
| } |
| |
| func (m *ModelMonitoringInput) GetTimeSpec() isModelMonitoringInput_TimeSpec { |
| if m != nil { |
| return m.TimeSpec |
| } |
| return nil |
| } |
| |
| func (x *ModelMonitoringInput) GetTimeInterval() *interval.Interval { |
| if x, ok := x.GetTimeSpec().(*ModelMonitoringInput_TimeInterval); ok { |
| return x.TimeInterval |
| } |
| return nil |
| } |
| |
| func (x *ModelMonitoringInput) GetTimeOffset() *ModelMonitoringInput_TimeOffset { |
| if x, ok := x.GetTimeSpec().(*ModelMonitoringInput_TimeOffset_); ok { |
| return x.TimeOffset |
| } |
| return nil |
| } |
| |
| type isModelMonitoringInput_Dataset interface { |
| isModelMonitoringInput_Dataset() |
| } |
| |
| type ModelMonitoringInput_ColumnizedDataset struct { |
| // Columnized dataset. |
| ColumnizedDataset *ModelMonitoringInput_ModelMonitoringDataset `protobuf:"bytes,1,opt,name=columnized_dataset,json=columnizedDataset,proto3,oneof"` |
| } |
| |
| type ModelMonitoringInput_BatchPredictionOutput_ struct { |
| // Vertex AI Batch prediction Job. |
| BatchPredictionOutput *ModelMonitoringInput_BatchPredictionOutput `protobuf:"bytes,2,opt,name=batch_prediction_output,json=batchPredictionOutput,proto3,oneof"` |
| } |
| |
| type ModelMonitoringInput_VertexEndpointLogs_ struct { |
| // Vertex AI Endpoint request & response logging. |
| VertexEndpointLogs *ModelMonitoringInput_VertexEndpointLogs `protobuf:"bytes,3,opt,name=vertex_endpoint_logs,json=vertexEndpointLogs,proto3,oneof"` |
| } |
| |
| func (*ModelMonitoringInput_ColumnizedDataset) isModelMonitoringInput_Dataset() {} |
| |
| func (*ModelMonitoringInput_BatchPredictionOutput_) isModelMonitoringInput_Dataset() {} |
| |
| func (*ModelMonitoringInput_VertexEndpointLogs_) isModelMonitoringInput_Dataset() {} |
| |
| type isModelMonitoringInput_TimeSpec interface { |
| isModelMonitoringInput_TimeSpec() |
| } |
| |
| type ModelMonitoringInput_TimeInterval struct { |
| // The time interval (pair of start_time and end_time) for which results |
| // should be returned. |
| TimeInterval *interval.Interval `protobuf:"bytes,6,opt,name=time_interval,json=timeInterval,proto3,oneof"` |
| } |
| |
| type ModelMonitoringInput_TimeOffset_ struct { |
| // The time offset setting for which results should be returned. |
| TimeOffset *ModelMonitoringInput_TimeOffset `protobuf:"bytes,7,opt,name=time_offset,json=timeOffset,proto3,oneof"` |
| } |
| |
| func (*ModelMonitoringInput_TimeInterval) isModelMonitoringInput_TimeSpec() {} |
| |
| func (*ModelMonitoringInput_TimeOffset_) isModelMonitoringInput_TimeSpec() {} |
| |
| // Notification spec(email, notification channel) for model monitoring |
| // statistics/alerts. |
| type ModelMonitoringNotificationSpec struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Email alert config. |
| EmailConfig *ModelMonitoringNotificationSpec_EmailConfig `protobuf:"bytes,1,opt,name=email_config,json=emailConfig,proto3" json:"email_config,omitempty"` |
| // Dump the anomalies to Cloud Logging. The anomalies will be put to json |
| // payload encoded from proto |
| // [google.cloud.aiplatform.logging.ModelMonitoringAnomaliesLogEntry][]. |
| // This can be further sinked to Pub/Sub or any other services supported |
| // by Cloud Logging. |
| EnableCloudLogging bool `protobuf:"varint,2,opt,name=enable_cloud_logging,json=enableCloudLogging,proto3" json:"enable_cloud_logging,omitempty"` |
| // Notification channel config. |
| NotificationChannelConfigs []*ModelMonitoringNotificationSpec_NotificationChannelConfig `protobuf:"bytes,3,rep,name=notification_channel_configs,json=notificationChannelConfigs,proto3" json:"notification_channel_configs,omitempty"` |
| } |
| |
| func (x *ModelMonitoringNotificationSpec) Reset() { |
| *x = ModelMonitoringNotificationSpec{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[4] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ModelMonitoringNotificationSpec) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ModelMonitoringNotificationSpec) ProtoMessage() {} |
| |
| func (x *ModelMonitoringNotificationSpec) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[4] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ModelMonitoringNotificationSpec.ProtoReflect.Descriptor instead. |
| func (*ModelMonitoringNotificationSpec) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_rawDescGZIP(), []int{4} |
| } |
| |
| func (x *ModelMonitoringNotificationSpec) GetEmailConfig() *ModelMonitoringNotificationSpec_EmailConfig { |
| if x != nil { |
| return x.EmailConfig |
| } |
| return nil |
| } |
| |
| func (x *ModelMonitoringNotificationSpec) GetEnableCloudLogging() bool { |
| if x != nil { |
| return x.EnableCloudLogging |
| } |
| return false |
| } |
| |
| func (x *ModelMonitoringNotificationSpec) GetNotificationChannelConfigs() []*ModelMonitoringNotificationSpec_NotificationChannelConfig { |
| if x != nil { |
| return x.NotificationChannelConfigs |
| } |
| return nil |
| } |
| |
| // Data drift monitoring spec. |
| // Data drift measures the distribution distance between the current dataset |
| // and a baseline dataset. A typical use case is to detect data drift between |
| // the recent production serving dataset and the training dataset, or to |
| // compare the recent production dataset with a dataset from a previous |
| // period. |
| type ModelMonitoringObjectiveSpec_DataDriftSpec struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Feature names / Prediction output names interested in monitoring. |
| // These should be a subset of the input feature names or prediction output |
| // names specified in the monitoring schema. |
| // If the field is not specified all features / prediction outputs outlied |
| // in the monitoring schema will be used. |
| Features []string `protobuf:"bytes,1,rep,name=features,proto3" json:"features,omitempty"` |
| // Supported metrics type: |
| // - l_infinity |
| // - jensen_shannon_divergence |
| CategoricalMetricType string `protobuf:"bytes,2,opt,name=categorical_metric_type,json=categoricalMetricType,proto3" json:"categorical_metric_type,omitempty"` |
| // Supported metrics type: |
| // - jensen_shannon_divergence |
| NumericMetricType string `protobuf:"bytes,3,opt,name=numeric_metric_type,json=numericMetricType,proto3" json:"numeric_metric_type,omitempty"` |
| // Default alert condition for all the categorical features. |
| DefaultCategoricalAlertCondition *ModelMonitoringAlertCondition `protobuf:"bytes,4,opt,name=default_categorical_alert_condition,json=defaultCategoricalAlertCondition,proto3" json:"default_categorical_alert_condition,omitempty"` |
| // Default alert condition for all the numeric features. |
| DefaultNumericAlertCondition *ModelMonitoringAlertCondition `protobuf:"bytes,5,opt,name=default_numeric_alert_condition,json=defaultNumericAlertCondition,proto3" json:"default_numeric_alert_condition,omitempty"` |
| // Per feature alert condition will override default alert condition. |
| FeatureAlertConditions map[string]*ModelMonitoringAlertCondition `protobuf:"bytes,6,rep,name=feature_alert_conditions,json=featureAlertConditions,proto3" json:"feature_alert_conditions,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"` |
| } |
| |
| func (x *ModelMonitoringObjectiveSpec_DataDriftSpec) Reset() { |
| *x = ModelMonitoringObjectiveSpec_DataDriftSpec{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[5] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ModelMonitoringObjectiveSpec_DataDriftSpec) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ModelMonitoringObjectiveSpec_DataDriftSpec) ProtoMessage() {} |
| |
| func (x *ModelMonitoringObjectiveSpec_DataDriftSpec) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[5] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ModelMonitoringObjectiveSpec_DataDriftSpec.ProtoReflect.Descriptor instead. |
| func (*ModelMonitoringObjectiveSpec_DataDriftSpec) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_rawDescGZIP(), []int{1, 0} |
| } |
| |
| func (x *ModelMonitoringObjectiveSpec_DataDriftSpec) GetFeatures() []string { |
| if x != nil { |
| return x.Features |
| } |
| return nil |
| } |
| |
| func (x *ModelMonitoringObjectiveSpec_DataDriftSpec) GetCategoricalMetricType() string { |
| if x != nil { |
| return x.CategoricalMetricType |
| } |
| return "" |
| } |
| |
| func (x *ModelMonitoringObjectiveSpec_DataDriftSpec) GetNumericMetricType() string { |
| if x != nil { |
| return x.NumericMetricType |
| } |
| return "" |
| } |
| |
| func (x *ModelMonitoringObjectiveSpec_DataDriftSpec) GetDefaultCategoricalAlertCondition() *ModelMonitoringAlertCondition { |
| if x != nil { |
| return x.DefaultCategoricalAlertCondition |
| } |
| return nil |
| } |
| |
| func (x *ModelMonitoringObjectiveSpec_DataDriftSpec) GetDefaultNumericAlertCondition() *ModelMonitoringAlertCondition { |
| if x != nil { |
| return x.DefaultNumericAlertCondition |
| } |
| return nil |
| } |
| |
| func (x *ModelMonitoringObjectiveSpec_DataDriftSpec) GetFeatureAlertConditions() map[string]*ModelMonitoringAlertCondition { |
| if x != nil { |
| return x.FeatureAlertConditions |
| } |
| return nil |
| } |
| |
| // Feature attribution monitoring spec. |
| type ModelMonitoringObjectiveSpec_FeatureAttributionSpec struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Feature names interested in monitoring. |
| // These should be a subset of the input feature names specified in the |
| // monitoring schema. If the field is not specified all features outlied in |
| // the monitoring schema will be used. |
| Features []string `protobuf:"bytes,1,rep,name=features,proto3" json:"features,omitempty"` |
| // Default alert condition for all the features. |
| DefaultAlertCondition *ModelMonitoringAlertCondition `protobuf:"bytes,2,opt,name=default_alert_condition,json=defaultAlertCondition,proto3" json:"default_alert_condition,omitempty"` |
| // Per feature alert condition will override default alert condition. |
| FeatureAlertConditions map[string]*ModelMonitoringAlertCondition `protobuf:"bytes,3,rep,name=feature_alert_conditions,json=featureAlertConditions,proto3" json:"feature_alert_conditions,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"` |
| // The config of resources used by the Model Monitoring during the batch |
| // explanation for non-AutoML models. If not set, `n1-standard-2` machine |
| // type will be used by default. |
| BatchExplanationDedicatedResources *BatchDedicatedResources `protobuf:"bytes,4,opt,name=batch_explanation_dedicated_resources,json=batchExplanationDedicatedResources,proto3" json:"batch_explanation_dedicated_resources,omitempty"` |
| } |
| |
| func (x *ModelMonitoringObjectiveSpec_FeatureAttributionSpec) Reset() { |
| *x = ModelMonitoringObjectiveSpec_FeatureAttributionSpec{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[6] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ModelMonitoringObjectiveSpec_FeatureAttributionSpec) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ModelMonitoringObjectiveSpec_FeatureAttributionSpec) ProtoMessage() {} |
| |
| func (x *ModelMonitoringObjectiveSpec_FeatureAttributionSpec) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[6] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ModelMonitoringObjectiveSpec_FeatureAttributionSpec.ProtoReflect.Descriptor instead. |
| func (*ModelMonitoringObjectiveSpec_FeatureAttributionSpec) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_rawDescGZIP(), []int{1, 1} |
| } |
| |
| func (x *ModelMonitoringObjectiveSpec_FeatureAttributionSpec) GetFeatures() []string { |
| if x != nil { |
| return x.Features |
| } |
| return nil |
| } |
| |
| func (x *ModelMonitoringObjectiveSpec_FeatureAttributionSpec) GetDefaultAlertCondition() *ModelMonitoringAlertCondition { |
| if x != nil { |
| return x.DefaultAlertCondition |
| } |
| return nil |
| } |
| |
| func (x *ModelMonitoringObjectiveSpec_FeatureAttributionSpec) GetFeatureAlertConditions() map[string]*ModelMonitoringAlertCondition { |
| if x != nil { |
| return x.FeatureAlertConditions |
| } |
| return nil |
| } |
| |
| func (x *ModelMonitoringObjectiveSpec_FeatureAttributionSpec) GetBatchExplanationDedicatedResources() *BatchDedicatedResources { |
| if x != nil { |
| return x.BatchExplanationDedicatedResources |
| } |
| return nil |
| } |
| |
| // Tabular monitoring objective. |
| type ModelMonitoringObjectiveSpec_TabularObjective struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Input feature distribution drift monitoring spec. |
| FeatureDriftSpec *ModelMonitoringObjectiveSpec_DataDriftSpec `protobuf:"bytes,10,opt,name=feature_drift_spec,json=featureDriftSpec,proto3" json:"feature_drift_spec,omitempty"` |
| // Prediction output distribution drift monitoring spec. |
| PredictionOutputDriftSpec *ModelMonitoringObjectiveSpec_DataDriftSpec `protobuf:"bytes,11,opt,name=prediction_output_drift_spec,json=predictionOutputDriftSpec,proto3" json:"prediction_output_drift_spec,omitempty"` |
| // Feature attribution monitoring spec. |
| FeatureAttributionSpec *ModelMonitoringObjectiveSpec_FeatureAttributionSpec `protobuf:"bytes,12,opt,name=feature_attribution_spec,json=featureAttributionSpec,proto3" json:"feature_attribution_spec,omitempty"` |
| } |
| |
| func (x *ModelMonitoringObjectiveSpec_TabularObjective) Reset() { |
| *x = ModelMonitoringObjectiveSpec_TabularObjective{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[7] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ModelMonitoringObjectiveSpec_TabularObjective) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ModelMonitoringObjectiveSpec_TabularObjective) ProtoMessage() {} |
| |
| func (x *ModelMonitoringObjectiveSpec_TabularObjective) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[7] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ModelMonitoringObjectiveSpec_TabularObjective.ProtoReflect.Descriptor instead. |
| func (*ModelMonitoringObjectiveSpec_TabularObjective) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_rawDescGZIP(), []int{1, 2} |
| } |
| |
| func (x *ModelMonitoringObjectiveSpec_TabularObjective) GetFeatureDriftSpec() *ModelMonitoringObjectiveSpec_DataDriftSpec { |
| if x != nil { |
| return x.FeatureDriftSpec |
| } |
| return nil |
| } |
| |
| func (x *ModelMonitoringObjectiveSpec_TabularObjective) GetPredictionOutputDriftSpec() *ModelMonitoringObjectiveSpec_DataDriftSpec { |
| if x != nil { |
| return x.PredictionOutputDriftSpec |
| } |
| return nil |
| } |
| |
| func (x *ModelMonitoringObjectiveSpec_TabularObjective) GetFeatureAttributionSpec() *ModelMonitoringObjectiveSpec_FeatureAttributionSpec { |
| if x != nil { |
| return x.FeatureAttributionSpec |
| } |
| return nil |
| } |
| |
| // Input dataset spec. |
| type ModelMonitoringInput_ModelMonitoringDataset struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Choose one of supported data location for columnized dataset. |
| // |
| // Types that are assignable to DataLocation: |
| // |
| // *ModelMonitoringInput_ModelMonitoringDataset_VertexDataset |
| // *ModelMonitoringInput_ModelMonitoringDataset_GcsSource |
| // *ModelMonitoringInput_ModelMonitoringDataset_BigquerySource |
| DataLocation isModelMonitoringInput_ModelMonitoringDataset_DataLocation `protobuf_oneof:"data_location"` |
| // The timestamp field. Usually for serving data. |
| TimestampField string `protobuf:"bytes,7,opt,name=timestamp_field,json=timestampField,proto3" json:"timestamp_field,omitempty"` |
| } |
| |
| func (x *ModelMonitoringInput_ModelMonitoringDataset) Reset() { |
| *x = ModelMonitoringInput_ModelMonitoringDataset{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[10] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ModelMonitoringInput_ModelMonitoringDataset) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ModelMonitoringInput_ModelMonitoringDataset) ProtoMessage() {} |
| |
| func (x *ModelMonitoringInput_ModelMonitoringDataset) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[10] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ModelMonitoringInput_ModelMonitoringDataset.ProtoReflect.Descriptor instead. |
| func (*ModelMonitoringInput_ModelMonitoringDataset) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_rawDescGZIP(), []int{3, 0} |
| } |
| |
| func (m *ModelMonitoringInput_ModelMonitoringDataset) GetDataLocation() isModelMonitoringInput_ModelMonitoringDataset_DataLocation { |
| if m != nil { |
| return m.DataLocation |
| } |
| return nil |
| } |
| |
| func (x *ModelMonitoringInput_ModelMonitoringDataset) GetVertexDataset() string { |
| if x, ok := x.GetDataLocation().(*ModelMonitoringInput_ModelMonitoringDataset_VertexDataset); ok { |
| return x.VertexDataset |
| } |
| return "" |
| } |
| |
| func (x *ModelMonitoringInput_ModelMonitoringDataset) GetGcsSource() *ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource { |
| if x, ok := x.GetDataLocation().(*ModelMonitoringInput_ModelMonitoringDataset_GcsSource); ok { |
| return x.GcsSource |
| } |
| return nil |
| } |
| |
| func (x *ModelMonitoringInput_ModelMonitoringDataset) GetBigquerySource() *ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringBigQuerySource { |
| if x, ok := x.GetDataLocation().(*ModelMonitoringInput_ModelMonitoringDataset_BigquerySource); ok { |
| return x.BigquerySource |
| } |
| return nil |
| } |
| |
| func (x *ModelMonitoringInput_ModelMonitoringDataset) GetTimestampField() string { |
| if x != nil { |
| return x.TimestampField |
| } |
| return "" |
| } |
| |
| type isModelMonitoringInput_ModelMonitoringDataset_DataLocation interface { |
| isModelMonitoringInput_ModelMonitoringDataset_DataLocation() |
| } |
| |
| type ModelMonitoringInput_ModelMonitoringDataset_VertexDataset struct { |
| // Resource name of the Vertex AI managed dataset. |
| VertexDataset string `protobuf:"bytes,1,opt,name=vertex_dataset,json=vertexDataset,proto3,oneof"` |
| } |
| |
| type ModelMonitoringInput_ModelMonitoringDataset_GcsSource struct { |
| // Google Cloud Storage data source. |
| GcsSource *ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource `protobuf:"bytes,2,opt,name=gcs_source,json=gcsSource,proto3,oneof"` |
| } |
| |
| type ModelMonitoringInput_ModelMonitoringDataset_BigquerySource struct { |
| // BigQuery data source. |
| BigquerySource *ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringBigQuerySource `protobuf:"bytes,6,opt,name=bigquery_source,json=bigquerySource,proto3,oneof"` |
| } |
| |
| func (*ModelMonitoringInput_ModelMonitoringDataset_VertexDataset) isModelMonitoringInput_ModelMonitoringDataset_DataLocation() { |
| } |
| |
| func (*ModelMonitoringInput_ModelMonitoringDataset_GcsSource) isModelMonitoringInput_ModelMonitoringDataset_DataLocation() { |
| } |
| |
| func (*ModelMonitoringInput_ModelMonitoringDataset_BigquerySource) isModelMonitoringInput_ModelMonitoringDataset_DataLocation() { |
| } |
| |
| // Data from Vertex AI Batch prediction job output. |
| type ModelMonitoringInput_BatchPredictionOutput struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Vertex AI Batch prediction job resource name. The job must match the |
| // model version specified in [ModelMonitor].[model_monitoring_target]. |
| BatchPredictionJob string `protobuf:"bytes,1,opt,name=batch_prediction_job,json=batchPredictionJob,proto3" json:"batch_prediction_job,omitempty"` |
| } |
| |
| func (x *ModelMonitoringInput_BatchPredictionOutput) Reset() { |
| *x = ModelMonitoringInput_BatchPredictionOutput{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[11] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ModelMonitoringInput_BatchPredictionOutput) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ModelMonitoringInput_BatchPredictionOutput) ProtoMessage() {} |
| |
| func (x *ModelMonitoringInput_BatchPredictionOutput) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[11] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ModelMonitoringInput_BatchPredictionOutput.ProtoReflect.Descriptor instead. |
| func (*ModelMonitoringInput_BatchPredictionOutput) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_rawDescGZIP(), []int{3, 1} |
| } |
| |
| func (x *ModelMonitoringInput_BatchPredictionOutput) GetBatchPredictionJob() string { |
| if x != nil { |
| return x.BatchPredictionJob |
| } |
| return "" |
| } |
| |
| // Data from Vertex AI Endpoint request response logging. |
| type ModelMonitoringInput_VertexEndpointLogs struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // List of endpoint resource names. The endpoints must enable the logging |
| // with the [Endpoint].[request_response_logging_config], and must contain |
| // the deployed model corresponding to the model version specified in |
| // [ModelMonitor].[model_monitoring_target]. |
| Endpoints []string `protobuf:"bytes,1,rep,name=endpoints,proto3" json:"endpoints,omitempty"` |
| } |
| |
| func (x *ModelMonitoringInput_VertexEndpointLogs) Reset() { |
| *x = ModelMonitoringInput_VertexEndpointLogs{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[12] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ModelMonitoringInput_VertexEndpointLogs) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ModelMonitoringInput_VertexEndpointLogs) ProtoMessage() {} |
| |
| func (x *ModelMonitoringInput_VertexEndpointLogs) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[12] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ModelMonitoringInput_VertexEndpointLogs.ProtoReflect.Descriptor instead. |
| func (*ModelMonitoringInput_VertexEndpointLogs) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_rawDescGZIP(), []int{3, 2} |
| } |
| |
| func (x *ModelMonitoringInput_VertexEndpointLogs) GetEndpoints() []string { |
| if x != nil { |
| return x.Endpoints |
| } |
| return nil |
| } |
| |
| // Time offset setting. |
| type ModelMonitoringInput_TimeOffset struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // [offset] is the time difference from the cut-off time. |
| // For scheduled jobs, the cut-off time is the scheduled time. |
| // For non-scheduled jobs, it's the time when the job was created. |
| // Currently we support the following format: |
| // 'w|W': Week, 'd|D': Day, 'h|H': Hour |
| // E.g. '1h' stands for 1 hour, '2d' stands for 2 days. |
| Offset string `protobuf:"bytes,1,opt,name=offset,proto3" json:"offset,omitempty"` |
| // [window] refers to the scope of data selected for analysis. |
| // It allows you to specify the quantity of data you wish to examine. |
| // Currently we support the following format: |
| // 'w|W': Week, 'd|D': Day, 'h|H': Hour |
| // E.g. '1h' stands for 1 hour, '2d' stands for 2 days. |
| Window string `protobuf:"bytes,2,opt,name=window,proto3" json:"window,omitempty"` |
| } |
| |
| func (x *ModelMonitoringInput_TimeOffset) Reset() { |
| *x = ModelMonitoringInput_TimeOffset{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[13] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ModelMonitoringInput_TimeOffset) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ModelMonitoringInput_TimeOffset) ProtoMessage() {} |
| |
| func (x *ModelMonitoringInput_TimeOffset) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[13] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ModelMonitoringInput_TimeOffset.ProtoReflect.Descriptor instead. |
| func (*ModelMonitoringInput_TimeOffset) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_rawDescGZIP(), []int{3, 3} |
| } |
| |
| func (x *ModelMonitoringInput_TimeOffset) GetOffset() string { |
| if x != nil { |
| return x.Offset |
| } |
| return "" |
| } |
| |
| func (x *ModelMonitoringInput_TimeOffset) GetWindow() string { |
| if x != nil { |
| return x.Window |
| } |
| return "" |
| } |
| |
| // Dataset spec for data stored in Google Cloud Storage. |
| type ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Google Cloud Storage URI to the input file(s). May contain |
| // wildcards. For more information on wildcards, see |
| // https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames. |
| GcsUri string `protobuf:"bytes,1,opt,name=gcs_uri,json=gcsUri,proto3" json:"gcs_uri,omitempty"` |
| // Data format of the dataset. |
| Format ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource_DataFormat `protobuf:"varint,2,opt,name=format,proto3,enum=google.cloud.aiplatform.v1beta1.ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource_DataFormat" json:"format,omitempty"` |
| } |
| |
| func (x *ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource) Reset() { |
| *x = ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[14] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource) ProtoMessage() {} |
| |
| func (x *ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[14] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource.ProtoReflect.Descriptor instead. |
| func (*ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_rawDescGZIP(), []int{3, 0, 0} |
| } |
| |
| func (x *ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource) GetGcsUri() string { |
| if x != nil { |
| return x.GcsUri |
| } |
| return "" |
| } |
| |
| func (x *ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource) GetFormat() ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource_DataFormat { |
| if x != nil { |
| return x.Format |
| } |
| return ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource_DATA_FORMAT_UNSPECIFIED |
| } |
| |
| // Dataset spec for data sotred in BigQuery. |
| type ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringBigQuerySource struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Types that are assignable to Connection: |
| // |
| // *ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringBigQuerySource_TableUri |
| // *ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringBigQuerySource_Query |
| Connection isModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringBigQuerySource_Connection `protobuf_oneof:"connection"` |
| } |
| |
| func (x *ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringBigQuerySource) Reset() { |
| *x = ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringBigQuerySource{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[15] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringBigQuerySource) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringBigQuerySource) ProtoMessage() {} |
| |
| func (x *ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringBigQuerySource) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[15] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringBigQuerySource.ProtoReflect.Descriptor instead. |
| func (*ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringBigQuerySource) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_rawDescGZIP(), []int{3, 0, 1} |
| } |
| |
| func (m *ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringBigQuerySource) GetConnection() isModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringBigQuerySource_Connection { |
| if m != nil { |
| return m.Connection |
| } |
| return nil |
| } |
| |
| func (x *ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringBigQuerySource) GetTableUri() string { |
| if x, ok := x.GetConnection().(*ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringBigQuerySource_TableUri); ok { |
| return x.TableUri |
| } |
| return "" |
| } |
| |
| func (x *ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringBigQuerySource) GetQuery() string { |
| if x, ok := x.GetConnection().(*ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringBigQuerySource_Query); ok { |
| return x.Query |
| } |
| return "" |
| } |
| |
| type isModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringBigQuerySource_Connection interface { |
| isModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringBigQuerySource_Connection() |
| } |
| |
| type ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringBigQuerySource_TableUri struct { |
| // BigQuery URI to a table, up to 2000 characters long. All the columns |
| // in the table will be selected. Accepted forms: |
| // |
| // * BigQuery path. For example: |
| // `bq://projectId.bqDatasetId.bqTableId`. |
| TableUri string `protobuf:"bytes,1,opt,name=table_uri,json=tableUri,proto3,oneof"` |
| } |
| |
| type ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringBigQuerySource_Query struct { |
| // Standard SQL to be used instead of the `table_uri`. |
| Query string `protobuf:"bytes,2,opt,name=query,proto3,oneof"` |
| } |
| |
| func (*ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringBigQuerySource_TableUri) isModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringBigQuerySource_Connection() { |
| } |
| |
| func (*ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringBigQuerySource_Query) isModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringBigQuerySource_Connection() { |
| } |
| |
| // The config for email alerts. |
| type ModelMonitoringNotificationSpec_EmailConfig struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The email addresses to send the alerts. |
| UserEmails []string `protobuf:"bytes,1,rep,name=user_emails,json=userEmails,proto3" json:"user_emails,omitempty"` |
| } |
| |
| func (x *ModelMonitoringNotificationSpec_EmailConfig) Reset() { |
| *x = ModelMonitoringNotificationSpec_EmailConfig{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[16] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ModelMonitoringNotificationSpec_EmailConfig) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ModelMonitoringNotificationSpec_EmailConfig) ProtoMessage() {} |
| |
| func (x *ModelMonitoringNotificationSpec_EmailConfig) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[16] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ModelMonitoringNotificationSpec_EmailConfig.ProtoReflect.Descriptor instead. |
| func (*ModelMonitoringNotificationSpec_EmailConfig) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_rawDescGZIP(), []int{4, 0} |
| } |
| |
| func (x *ModelMonitoringNotificationSpec_EmailConfig) GetUserEmails() []string { |
| if x != nil { |
| return x.UserEmails |
| } |
| return nil |
| } |
| |
| // Google Cloud Notification Channel config. |
| type ModelMonitoringNotificationSpec_NotificationChannelConfig struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Resource names of the NotificationChannels. |
| // Must be of the format |
| // `projects/<project_id_or_number>/notificationChannels/<channel_id>` |
| NotificationChannel string `protobuf:"bytes,1,opt,name=notification_channel,json=notificationChannel,proto3" json:"notification_channel,omitempty"` |
| } |
| |
| func (x *ModelMonitoringNotificationSpec_NotificationChannelConfig) Reset() { |
| *x = ModelMonitoringNotificationSpec_NotificationChannelConfig{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[17] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ModelMonitoringNotificationSpec_NotificationChannelConfig) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ModelMonitoringNotificationSpec_NotificationChannelConfig) ProtoMessage() {} |
| |
| func (x *ModelMonitoringNotificationSpec_NotificationChannelConfig) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[17] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ModelMonitoringNotificationSpec_NotificationChannelConfig.ProtoReflect.Descriptor instead. |
| func (*ModelMonitoringNotificationSpec_NotificationChannelConfig) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_rawDescGZIP(), []int{4, 1} |
| } |
| |
| func (x *ModelMonitoringNotificationSpec_NotificationChannelConfig) GetNotificationChannel() string { |
| if x != nil { |
| return x.NotificationChannel |
| } |
| return "" |
| } |
| |
| var File_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto protoreflect.FileDescriptor |
| |
| var file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_rawDesc = []byte{ |
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| } |
| |
| var ( |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_rawDescOnce sync.Once |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_rawDescData = file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_rawDesc |
| ) |
| |
| func file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_rawDescGZIP() []byte { |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_rawDescOnce.Do(func() { |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_rawDescData) |
| }) |
| return file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_rawDescData |
| } |
| |
| var file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_enumTypes = make([]protoimpl.EnumInfo, 1) |
| var file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes = make([]protoimpl.MessageInfo, 18) |
| var file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_goTypes = []interface{}{ |
| (ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource_DataFormat)(0), // 0: google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset.ModelMonitoringGcsSource.DataFormat |
| (*ModelMonitoringSpec)(nil), // 1: google.cloud.aiplatform.v1beta1.ModelMonitoringSpec |
| (*ModelMonitoringObjectiveSpec)(nil), // 2: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec |
| (*ModelMonitoringOutputSpec)(nil), // 3: google.cloud.aiplatform.v1beta1.ModelMonitoringOutputSpec |
| (*ModelMonitoringInput)(nil), // 4: google.cloud.aiplatform.v1beta1.ModelMonitoringInput |
| (*ModelMonitoringNotificationSpec)(nil), // 5: google.cloud.aiplatform.v1beta1.ModelMonitoringNotificationSpec |
| (*ModelMonitoringObjectiveSpec_DataDriftSpec)(nil), // 6: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.DataDriftSpec |
| (*ModelMonitoringObjectiveSpec_FeatureAttributionSpec)(nil), // 7: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.FeatureAttributionSpec |
| (*ModelMonitoringObjectiveSpec_TabularObjective)(nil), // 8: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective |
| nil, // 9: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.DataDriftSpec.FeatureAlertConditionsEntry |
| nil, // 10: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.FeatureAttributionSpec.FeatureAlertConditionsEntry |
| (*ModelMonitoringInput_ModelMonitoringDataset)(nil), // 11: google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset |
| (*ModelMonitoringInput_BatchPredictionOutput)(nil), // 12: google.cloud.aiplatform.v1beta1.ModelMonitoringInput.BatchPredictionOutput |
| (*ModelMonitoringInput_VertexEndpointLogs)(nil), // 13: google.cloud.aiplatform.v1beta1.ModelMonitoringInput.VertexEndpointLogs |
| (*ModelMonitoringInput_TimeOffset)(nil), // 14: google.cloud.aiplatform.v1beta1.ModelMonitoringInput.TimeOffset |
| (*ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource)(nil), // 15: google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset.ModelMonitoringGcsSource |
| (*ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringBigQuerySource)(nil), // 16: google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset.ModelMonitoringBigQuerySource |
| (*ModelMonitoringNotificationSpec_EmailConfig)(nil), // 17: google.cloud.aiplatform.v1beta1.ModelMonitoringNotificationSpec.EmailConfig |
| (*ModelMonitoringNotificationSpec_NotificationChannelConfig)(nil), // 18: google.cloud.aiplatform.v1beta1.ModelMonitoringNotificationSpec.NotificationChannelConfig |
| (*ExplanationSpec)(nil), // 19: google.cloud.aiplatform.v1beta1.ExplanationSpec |
| (*GcsDestination)(nil), // 20: google.cloud.aiplatform.v1beta1.GcsDestination |
| (*interval.Interval)(nil), // 21: google.type.Interval |
| (*ModelMonitoringAlertCondition)(nil), // 22: google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition |
| (*BatchDedicatedResources)(nil), // 23: google.cloud.aiplatform.v1beta1.BatchDedicatedResources |
| } |
| var file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_depIdxs = []int32{ |
| 2, // 0: google.cloud.aiplatform.v1beta1.ModelMonitoringSpec.objective_spec:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec |
| 5, // 1: google.cloud.aiplatform.v1beta1.ModelMonitoringSpec.notification_spec:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringNotificationSpec |
| 3, // 2: google.cloud.aiplatform.v1beta1.ModelMonitoringSpec.output_spec:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringOutputSpec |
| 8, // 3: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.tabular_objective:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective |
| 19, // 4: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.explanation_spec:type_name -> google.cloud.aiplatform.v1beta1.ExplanationSpec |
| 4, // 5: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.baseline_dataset:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringInput |
| 4, // 6: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.target_dataset:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringInput |
| 20, // 7: google.cloud.aiplatform.v1beta1.ModelMonitoringOutputSpec.gcs_base_directory:type_name -> google.cloud.aiplatform.v1beta1.GcsDestination |
| 11, // 8: google.cloud.aiplatform.v1beta1.ModelMonitoringInput.columnized_dataset:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset |
| 12, // 9: google.cloud.aiplatform.v1beta1.ModelMonitoringInput.batch_prediction_output:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringInput.BatchPredictionOutput |
| 13, // 10: google.cloud.aiplatform.v1beta1.ModelMonitoringInput.vertex_endpoint_logs:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringInput.VertexEndpointLogs |
| 21, // 11: google.cloud.aiplatform.v1beta1.ModelMonitoringInput.time_interval:type_name -> google.type.Interval |
| 14, // 12: google.cloud.aiplatform.v1beta1.ModelMonitoringInput.time_offset:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringInput.TimeOffset |
| 17, // 13: google.cloud.aiplatform.v1beta1.ModelMonitoringNotificationSpec.email_config:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringNotificationSpec.EmailConfig |
| 18, // 14: google.cloud.aiplatform.v1beta1.ModelMonitoringNotificationSpec.notification_channel_configs:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringNotificationSpec.NotificationChannelConfig |
| 22, // 15: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.DataDriftSpec.default_categorical_alert_condition:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition |
| 22, // 16: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.DataDriftSpec.default_numeric_alert_condition:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition |
| 9, // 17: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.DataDriftSpec.feature_alert_conditions:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.DataDriftSpec.FeatureAlertConditionsEntry |
| 22, // 18: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.FeatureAttributionSpec.default_alert_condition:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition |
| 10, // 19: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.FeatureAttributionSpec.feature_alert_conditions:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.FeatureAttributionSpec.FeatureAlertConditionsEntry |
| 23, // 20: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.FeatureAttributionSpec.batch_explanation_dedicated_resources:type_name -> google.cloud.aiplatform.v1beta1.BatchDedicatedResources |
| 6, // 21: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective.feature_drift_spec:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.DataDriftSpec |
| 6, // 22: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective.prediction_output_drift_spec:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.DataDriftSpec |
| 7, // 23: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective.feature_attribution_spec:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.FeatureAttributionSpec |
| 22, // 24: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.DataDriftSpec.FeatureAlertConditionsEntry.value:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition |
| 22, // 25: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.FeatureAttributionSpec.FeatureAlertConditionsEntry.value:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition |
| 15, // 26: google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset.gcs_source:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset.ModelMonitoringGcsSource |
| 16, // 27: google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset.bigquery_source:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset.ModelMonitoringBigQuerySource |
| 0, // 28: google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset.ModelMonitoringGcsSource.format:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset.ModelMonitoringGcsSource.DataFormat |
| 29, // [29:29] is the sub-list for method output_type |
| 29, // [29:29] is the sub-list for method input_type |
| 29, // [29:29] is the sub-list for extension type_name |
| 29, // [29:29] is the sub-list for extension extendee |
| 0, // [0:29] is the sub-list for field type_name |
| } |
| |
| func init() { file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_init() } |
| func file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_init() { |
| if File_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto != nil { |
| return |
| } |
| file_google_cloud_aiplatform_v1beta1_explanation_proto_init() |
| file_google_cloud_aiplatform_v1beta1_io_proto_init() |
| file_google_cloud_aiplatform_v1beta1_machine_resources_proto_init() |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_alert_proto_init() |
| if !protoimpl.UnsafeEnabled { |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ModelMonitoringSpec); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ModelMonitoringObjectiveSpec); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ModelMonitoringOutputSpec); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ModelMonitoringInput); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[4].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ModelMonitoringNotificationSpec); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[5].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ModelMonitoringObjectiveSpec_DataDriftSpec); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[6].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ModelMonitoringObjectiveSpec_FeatureAttributionSpec); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[7].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ModelMonitoringObjectiveSpec_TabularObjective); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[10].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ModelMonitoringInput_ModelMonitoringDataset); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[11].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ModelMonitoringInput_BatchPredictionOutput); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[12].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ModelMonitoringInput_VertexEndpointLogs); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[13].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ModelMonitoringInput_TimeOffset); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[14].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringGcsSource); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[15].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringBigQuerySource); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[16].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ModelMonitoringNotificationSpec_EmailConfig); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[17].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ModelMonitoringNotificationSpec_NotificationChannelConfig); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| } |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[1].OneofWrappers = []interface{}{ |
| (*ModelMonitoringObjectiveSpec_TabularObjective_)(nil), |
| } |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[3].OneofWrappers = []interface{}{ |
| (*ModelMonitoringInput_ColumnizedDataset)(nil), |
| (*ModelMonitoringInput_BatchPredictionOutput_)(nil), |
| (*ModelMonitoringInput_VertexEndpointLogs_)(nil), |
| (*ModelMonitoringInput_TimeInterval)(nil), |
| (*ModelMonitoringInput_TimeOffset_)(nil), |
| } |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[10].OneofWrappers = []interface{}{ |
| (*ModelMonitoringInput_ModelMonitoringDataset_VertexDataset)(nil), |
| (*ModelMonitoringInput_ModelMonitoringDataset_GcsSource)(nil), |
| (*ModelMonitoringInput_ModelMonitoringDataset_BigquerySource)(nil), |
| } |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes[15].OneofWrappers = []interface{}{ |
| (*ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringBigQuerySource_TableUri)(nil), |
| (*ModelMonitoringInput_ModelMonitoringDataset_ModelMonitoringBigQuerySource_Query)(nil), |
| } |
| type x struct{} |
| out := protoimpl.TypeBuilder{ |
| File: protoimpl.DescBuilder{ |
| GoPackagePath: reflect.TypeOf(x{}).PkgPath(), |
| RawDescriptor: file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_rawDesc, |
| NumEnums: 1, |
| NumMessages: 18, |
| NumExtensions: 0, |
| NumServices: 0, |
| }, |
| GoTypes: file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_goTypes, |
| DependencyIndexes: file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_depIdxs, |
| EnumInfos: file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_enumTypes, |
| MessageInfos: file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_msgTypes, |
| }.Build() |
| File_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto = out.File |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_rawDesc = nil |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_goTypes = nil |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_spec_proto_depIdxs = nil |
| } |