| // Copyright 2020 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 v1.22.0 |
| // protoc v3.12.2 |
| // source: google/cloud/automl/v1/model.proto |
| |
| package automl |
| |
| import ( |
| reflect "reflect" |
| sync "sync" |
| |
| proto "github.com/golang/protobuf/proto" |
| timestamp "github.com/golang/protobuf/ptypes/timestamp" |
| _ "google.golang.org/genproto/googleapis/api/annotations" |
| 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) |
| ) |
| |
| // This is a compile-time assertion that a sufficiently up-to-date version |
| // of the legacy proto package is being used. |
| const _ = proto.ProtoPackageIsVersion4 |
| |
| // Deployment state of the model. |
| type Model_DeploymentState int32 |
| |
| const ( |
| // Should not be used, an un-set enum has this value by default. |
| Model_DEPLOYMENT_STATE_UNSPECIFIED Model_DeploymentState = 0 |
| // Model is deployed. |
| Model_DEPLOYED Model_DeploymentState = 1 |
| // Model is not deployed. |
| Model_UNDEPLOYED Model_DeploymentState = 2 |
| ) |
| |
| // Enum value maps for Model_DeploymentState. |
| var ( |
| Model_DeploymentState_name = map[int32]string{ |
| 0: "DEPLOYMENT_STATE_UNSPECIFIED", |
| 1: "DEPLOYED", |
| 2: "UNDEPLOYED", |
| } |
| Model_DeploymentState_value = map[string]int32{ |
| "DEPLOYMENT_STATE_UNSPECIFIED": 0, |
| "DEPLOYED": 1, |
| "UNDEPLOYED": 2, |
| } |
| ) |
| |
| func (x Model_DeploymentState) Enum() *Model_DeploymentState { |
| p := new(Model_DeploymentState) |
| *p = x |
| return p |
| } |
| |
| func (x Model_DeploymentState) String() string { |
| return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x)) |
| } |
| |
| func (Model_DeploymentState) Descriptor() protoreflect.EnumDescriptor { |
| return file_google_cloud_automl_v1_model_proto_enumTypes[0].Descriptor() |
| } |
| |
| func (Model_DeploymentState) Type() protoreflect.EnumType { |
| return &file_google_cloud_automl_v1_model_proto_enumTypes[0] |
| } |
| |
| func (x Model_DeploymentState) Number() protoreflect.EnumNumber { |
| return protoreflect.EnumNumber(x) |
| } |
| |
| // Deprecated: Use Model_DeploymentState.Descriptor instead. |
| func (Model_DeploymentState) EnumDescriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1_model_proto_rawDescGZIP(), []int{0, 0} |
| } |
| |
| // API proto representing a trained machine learning model. |
| type Model struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. |
| // The model metadata that is specific to the problem type. |
| // Must match the metadata type of the dataset used to train the model. |
| // |
| // Types that are assignable to ModelMetadata: |
| // *Model_TranslationModelMetadata |
| // *Model_ImageClassificationModelMetadata |
| // *Model_TextClassificationModelMetadata |
| // *Model_ImageObjectDetectionModelMetadata |
| // *Model_TextExtractionModelMetadata |
| // *Model_TextSentimentModelMetadata |
| ModelMetadata isModel_ModelMetadata `protobuf_oneof:"model_metadata"` |
| // 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 |
| // up to 32 characters long and can consist only of ASCII Latin letters A-Z |
| // 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 |
| // 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. |
| 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. |
| 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. |
| DeploymentState Model_DeploymentState `protobuf:"varint,8,opt,name=deployment_state,json=deploymentState,proto3,enum=google.cloud.automl.v1.Model_DeploymentState" json:"deployment_state,omitempty"` |
| // Used to perform a consistent read-modify-write updates. If not set, a blind |
| // "overwrite" update happens. |
| Etag string `protobuf:"bytes,10,opt,name=etag,proto3" json:"etag,omitempty"` |
| // Optional. The labels with user-defined metadata to organize your model. |
| // |
| // Label keys and values can be no longer than 64 characters |
| // (Unicode codepoints), can only contain lowercase letters, numeric |
| // characters, underscores and dashes. International characters are allowed. |
| // Label values are optional. Label keys must start with a letter. |
| // |
| // See https://goo.gl/xmQnxf for more information on and examples of labels. |
| Labels map[string]string `protobuf:"bytes,34,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"` |
| } |
| |
| func (x *Model) Reset() { |
| *x = Model{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1_model_proto_msgTypes[0] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *Model) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*Model) ProtoMessage() {} |
| |
| func (x *Model) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1_model_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 Model.ProtoReflect.Descriptor instead. |
| func (*Model) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1_model_proto_rawDescGZIP(), []int{0} |
| } |
| |
| func (m *Model) GetModelMetadata() isModel_ModelMetadata { |
| if m != nil { |
| return m.ModelMetadata |
| } |
| return nil |
| } |
| |
| func (x *Model) GetTranslationModelMetadata() *TranslationModelMetadata { |
| if x, ok := x.GetModelMetadata().(*Model_TranslationModelMetadata); ok { |
| return x.TranslationModelMetadata |
| } |
| return nil |
| } |
| |
| func (x *Model) GetImageClassificationModelMetadata() *ImageClassificationModelMetadata { |
| if x, ok := x.GetModelMetadata().(*Model_ImageClassificationModelMetadata); ok { |
| return x.ImageClassificationModelMetadata |
| } |
| return nil |
| } |
| |
| func (x *Model) GetTextClassificationModelMetadata() *TextClassificationModelMetadata { |
| if x, ok := x.GetModelMetadata().(*Model_TextClassificationModelMetadata); ok { |
| return x.TextClassificationModelMetadata |
| } |
| return nil |
| } |
| |
| func (x *Model) GetImageObjectDetectionModelMetadata() *ImageObjectDetectionModelMetadata { |
| if x, ok := x.GetModelMetadata().(*Model_ImageObjectDetectionModelMetadata); ok { |
| return x.ImageObjectDetectionModelMetadata |
| } |
| return nil |
| } |
| |
| func (x *Model) GetTextExtractionModelMetadata() *TextExtractionModelMetadata { |
| if x, ok := x.GetModelMetadata().(*Model_TextExtractionModelMetadata); ok { |
| return x.TextExtractionModelMetadata |
| } |
| return nil |
| } |
| |
| func (x *Model) GetTextSentimentModelMetadata() *TextSentimentModelMetadata { |
| if x, ok := x.GetModelMetadata().(*Model_TextSentimentModelMetadata); ok { |
| return x.TextSentimentModelMetadata |
| } |
| return nil |
| } |
| |
| func (x *Model) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| func (x *Model) GetDisplayName() string { |
| if x != nil { |
| return x.DisplayName |
| } |
| return "" |
| } |
| |
| func (x *Model) GetDatasetId() string { |
| if x != nil { |
| return x.DatasetId |
| } |
| return "" |
| } |
| |
| func (x *Model) GetCreateTime() *timestamp.Timestamp { |
| if x != nil { |
| return x.CreateTime |
| } |
| return nil |
| } |
| |
| func (x *Model) GetUpdateTime() *timestamp.Timestamp { |
| if x != nil { |
| return x.UpdateTime |
| } |
| return nil |
| } |
| |
| func (x *Model) GetDeploymentState() Model_DeploymentState { |
| if x != nil { |
| return x.DeploymentState |
| } |
| return Model_DEPLOYMENT_STATE_UNSPECIFIED |
| } |
| |
| func (x *Model) GetEtag() string { |
| if x != nil { |
| return x.Etag |
| } |
| return "" |
| } |
| |
| func (x *Model) GetLabels() map[string]string { |
| if x != nil { |
| return x.Labels |
| } |
| return nil |
| } |
| |
| type isModel_ModelMetadata interface { |
| isModel_ModelMetadata() |
| } |
| |
| type Model_TranslationModelMetadata struct { |
| // Metadata for translation models. |
| TranslationModelMetadata *TranslationModelMetadata `protobuf:"bytes,15,opt,name=translation_model_metadata,json=translationModelMetadata,proto3,oneof"` |
| } |
| |
| type Model_ImageClassificationModelMetadata struct { |
| // Metadata for image classification models. |
| ImageClassificationModelMetadata *ImageClassificationModelMetadata `protobuf:"bytes,13,opt,name=image_classification_model_metadata,json=imageClassificationModelMetadata,proto3,oneof"` |
| } |
| |
| type Model_TextClassificationModelMetadata struct { |
| // Metadata for text classification models. |
| TextClassificationModelMetadata *TextClassificationModelMetadata `protobuf:"bytes,14,opt,name=text_classification_model_metadata,json=textClassificationModelMetadata,proto3,oneof"` |
| } |
| |
| type Model_ImageObjectDetectionModelMetadata struct { |
| // Metadata for image object detection models. |
| ImageObjectDetectionModelMetadata *ImageObjectDetectionModelMetadata `protobuf:"bytes,20,opt,name=image_object_detection_model_metadata,json=imageObjectDetectionModelMetadata,proto3,oneof"` |
| } |
| |
| type Model_TextExtractionModelMetadata struct { |
| // Metadata for text extraction models. |
| TextExtractionModelMetadata *TextExtractionModelMetadata `protobuf:"bytes,19,opt,name=text_extraction_model_metadata,json=textExtractionModelMetadata,proto3,oneof"` |
| } |
| |
| type Model_TextSentimentModelMetadata struct { |
| // Metadata for text sentiment models. |
| TextSentimentModelMetadata *TextSentimentModelMetadata `protobuf:"bytes,22,opt,name=text_sentiment_model_metadata,json=textSentimentModelMetadata,proto3,oneof"` |
| } |
| |
| func (*Model_TranslationModelMetadata) isModel_ModelMetadata() {} |
| |
| func (*Model_ImageClassificationModelMetadata) isModel_ModelMetadata() {} |
| |
| func (*Model_TextClassificationModelMetadata) isModel_ModelMetadata() {} |
| |
| func (*Model_ImageObjectDetectionModelMetadata) isModel_ModelMetadata() {} |
| |
| func (*Model_TextExtractionModelMetadata) isModel_ModelMetadata() {} |
| |
| func (*Model_TextSentimentModelMetadata) isModel_ModelMetadata() {} |
| |
| var File_google_cloud_automl_v1_model_proto protoreflect.FileDescriptor |
| |
| var file_google_cloud_automl_v1_model_proto_rawDesc = []byte{ |
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| } |
| |
| var ( |
| file_google_cloud_automl_v1_model_proto_rawDescOnce sync.Once |
| file_google_cloud_automl_v1_model_proto_rawDescData = file_google_cloud_automl_v1_model_proto_rawDesc |
| ) |
| |
| func file_google_cloud_automl_v1_model_proto_rawDescGZIP() []byte { |
| file_google_cloud_automl_v1_model_proto_rawDescOnce.Do(func() { |
| file_google_cloud_automl_v1_model_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_automl_v1_model_proto_rawDescData) |
| }) |
| return file_google_cloud_automl_v1_model_proto_rawDescData |
| } |
| |
| var file_google_cloud_automl_v1_model_proto_enumTypes = make([]protoimpl.EnumInfo, 1) |
| var file_google_cloud_automl_v1_model_proto_msgTypes = make([]protoimpl.MessageInfo, 2) |
| var file_google_cloud_automl_v1_model_proto_goTypes = []interface{}{ |
| (Model_DeploymentState)(0), // 0: google.cloud.automl.v1.Model.DeploymentState |
| (*Model)(nil), // 1: google.cloud.automl.v1.Model |
| nil, // 2: google.cloud.automl.v1.Model.LabelsEntry |
| (*TranslationModelMetadata)(nil), // 3: google.cloud.automl.v1.TranslationModelMetadata |
| (*ImageClassificationModelMetadata)(nil), // 4: google.cloud.automl.v1.ImageClassificationModelMetadata |
| (*TextClassificationModelMetadata)(nil), // 5: google.cloud.automl.v1.TextClassificationModelMetadata |
| (*ImageObjectDetectionModelMetadata)(nil), // 6: google.cloud.automl.v1.ImageObjectDetectionModelMetadata |
| (*TextExtractionModelMetadata)(nil), // 7: google.cloud.automl.v1.TextExtractionModelMetadata |
| (*TextSentimentModelMetadata)(nil), // 8: google.cloud.automl.v1.TextSentimentModelMetadata |
| (*timestamp.Timestamp)(nil), // 9: google.protobuf.Timestamp |
| } |
| var file_google_cloud_automl_v1_model_proto_depIdxs = []int32{ |
| 3, // 0: google.cloud.automl.v1.Model.translation_model_metadata:type_name -> google.cloud.automl.v1.TranslationModelMetadata |
| 4, // 1: google.cloud.automl.v1.Model.image_classification_model_metadata:type_name -> google.cloud.automl.v1.ImageClassificationModelMetadata |
| 5, // 2: google.cloud.automl.v1.Model.text_classification_model_metadata:type_name -> google.cloud.automl.v1.TextClassificationModelMetadata |
| 6, // 3: google.cloud.automl.v1.Model.image_object_detection_model_metadata:type_name -> google.cloud.automl.v1.ImageObjectDetectionModelMetadata |
| 7, // 4: google.cloud.automl.v1.Model.text_extraction_model_metadata:type_name -> google.cloud.automl.v1.TextExtractionModelMetadata |
| 8, // 5: google.cloud.automl.v1.Model.text_sentiment_model_metadata:type_name -> google.cloud.automl.v1.TextSentimentModelMetadata |
| 9, // 6: google.cloud.automl.v1.Model.create_time:type_name -> google.protobuf.Timestamp |
| 9, // 7: google.cloud.automl.v1.Model.update_time:type_name -> google.protobuf.Timestamp |
| 0, // 8: google.cloud.automl.v1.Model.deployment_state:type_name -> google.cloud.automl.v1.Model.DeploymentState |
| 2, // 9: google.cloud.automl.v1.Model.labels:type_name -> google.cloud.automl.v1.Model.LabelsEntry |
| 10, // [10:10] is the sub-list for method output_type |
| 10, // [10:10] is the sub-list for method input_type |
| 10, // [10:10] is the sub-list for extension type_name |
| 10, // [10:10] is the sub-list for extension extendee |
| 0, // [0:10] is the sub-list for field type_name |
| } |
| |
| func init() { file_google_cloud_automl_v1_model_proto_init() } |
| func file_google_cloud_automl_v1_model_proto_init() { |
| if File_google_cloud_automl_v1_model_proto != nil { |
| return |
| } |
| file_google_cloud_automl_v1_image_proto_init() |
| file_google_cloud_automl_v1_text_proto_init() |
| file_google_cloud_automl_v1_translation_proto_init() |
| if !protoimpl.UnsafeEnabled { |
| file_google_cloud_automl_v1_model_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*Model); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| } |
| file_google_cloud_automl_v1_model_proto_msgTypes[0].OneofWrappers = []interface{}{ |
| (*Model_TranslationModelMetadata)(nil), |
| (*Model_ImageClassificationModelMetadata)(nil), |
| (*Model_TextClassificationModelMetadata)(nil), |
| (*Model_ImageObjectDetectionModelMetadata)(nil), |
| (*Model_TextExtractionModelMetadata)(nil), |
| (*Model_TextSentimentModelMetadata)(nil), |
| } |
| type x struct{} |
| out := protoimpl.TypeBuilder{ |
| File: protoimpl.DescBuilder{ |
| GoPackagePath: reflect.TypeOf(x{}).PkgPath(), |
| RawDescriptor: file_google_cloud_automl_v1_model_proto_rawDesc, |
| NumEnums: 1, |
| NumMessages: 2, |
| NumExtensions: 0, |
| NumServices: 0, |
| }, |
| GoTypes: file_google_cloud_automl_v1_model_proto_goTypes, |
| DependencyIndexes: file_google_cloud_automl_v1_model_proto_depIdxs, |
| EnumInfos: file_google_cloud_automl_v1_model_proto_enumTypes, |
| MessageInfos: file_google_cloud_automl_v1_model_proto_msgTypes, |
| }.Build() |
| File_google_cloud_automl_v1_model_proto = out.File |
| file_google_cloud_automl_v1_model_proto_rawDesc = nil |
| file_google_cloud_automl_v1_model_proto_goTypes = nil |
| file_google_cloud_automl_v1_model_proto_depIdxs = nil |
| } |
