| // 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_evaluation.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 |
| |
| // Evaluation results of a model. |
| type ModelEvaluation struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Output only. Problem type specific evaluation metrics. |
| // |
| // Types that are assignable to Metrics: |
| // *ModelEvaluation_ClassificationEvaluationMetrics |
| // *ModelEvaluation_TranslationEvaluationMetrics |
| // *ModelEvaluation_ImageObjectDetectionEvaluationMetrics |
| // *ModelEvaluation_TextSentimentEvaluationMetrics |
| // *ModelEvaluation_TextExtractionEvaluationMetrics |
| Metrics isModelEvaluation_Metrics `protobuf_oneof:"metrics"` |
| // 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 |
| // 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 |
| // |
| // [prediction_type-s][google.cloud.automl.v1.TablesModelMetadata.prediction_type] |
| // the |
| // [display_name][google.cloud.automl.v1.ModelEvaluation.display_name] |
| // 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.v1.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 the two model's trainings. For Tables CLASSIFICATION |
| // |
| // [prediction_type-s][google.cloud.automl.v1.TablesModelMetadata.prediction_type] |
| // distinct values of the target column at the moment of the model evaluation |
| // 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. |
| 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 |
| // 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 |
| // the total number of all examples used for evaluation. |
| // Otherwise, this is the count of examples that according to the ground |
| // truth were annotated by the |
| // |
| // [annotation_spec_id][google.cloud.automl.v1.ModelEvaluation.annotation_spec_id]. |
| EvaluatedExampleCount int32 `protobuf:"varint,6,opt,name=evaluated_example_count,json=evaluatedExampleCount,proto3" json:"evaluated_example_count,omitempty"` |
| } |
| |
| func (x *ModelEvaluation) Reset() { |
| *x = ModelEvaluation{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1_model_evaluation_proto_msgTypes[0] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ModelEvaluation) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ModelEvaluation) ProtoMessage() {} |
| |
| func (x *ModelEvaluation) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1_model_evaluation_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 ModelEvaluation.ProtoReflect.Descriptor instead. |
| func (*ModelEvaluation) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1_model_evaluation_proto_rawDescGZIP(), []int{0} |
| } |
| |
| func (m *ModelEvaluation) GetMetrics() isModelEvaluation_Metrics { |
| if m != nil { |
| return m.Metrics |
| } |
| return nil |
| } |
| |
| func (x *ModelEvaluation) GetClassificationEvaluationMetrics() *ClassificationEvaluationMetrics { |
| if x, ok := x.GetMetrics().(*ModelEvaluation_ClassificationEvaluationMetrics); ok { |
| return x.ClassificationEvaluationMetrics |
| } |
| return nil |
| } |
| |
| func (x *ModelEvaluation) GetTranslationEvaluationMetrics() *TranslationEvaluationMetrics { |
| if x, ok := x.GetMetrics().(*ModelEvaluation_TranslationEvaluationMetrics); ok { |
| return x.TranslationEvaluationMetrics |
| } |
| return nil |
| } |
| |
| func (x *ModelEvaluation) GetImageObjectDetectionEvaluationMetrics() *ImageObjectDetectionEvaluationMetrics { |
| if x, ok := x.GetMetrics().(*ModelEvaluation_ImageObjectDetectionEvaluationMetrics); ok { |
| return x.ImageObjectDetectionEvaluationMetrics |
| } |
| return nil |
| } |
| |
| func (x *ModelEvaluation) GetTextSentimentEvaluationMetrics() *TextSentimentEvaluationMetrics { |
| if x, ok := x.GetMetrics().(*ModelEvaluation_TextSentimentEvaluationMetrics); ok { |
| return x.TextSentimentEvaluationMetrics |
| } |
| return nil |
| } |
| |
| func (x *ModelEvaluation) GetTextExtractionEvaluationMetrics() *TextExtractionEvaluationMetrics { |
| if x, ok := x.GetMetrics().(*ModelEvaluation_TextExtractionEvaluationMetrics); ok { |
| return x.TextExtractionEvaluationMetrics |
| } |
| return nil |
| } |
| |
| func (x *ModelEvaluation) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| func (x *ModelEvaluation) GetAnnotationSpecId() string { |
| if x != nil { |
| return x.AnnotationSpecId |
| } |
| return "" |
| } |
| |
| func (x *ModelEvaluation) GetDisplayName() string { |
| if x != nil { |
| return x.DisplayName |
| } |
| return "" |
| } |
| |
| func (x *ModelEvaluation) GetCreateTime() *timestamp.Timestamp { |
| if x != nil { |
| return x.CreateTime |
| } |
| return nil |
| } |
| |
| func (x *ModelEvaluation) GetEvaluatedExampleCount() int32 { |
| if x != nil { |
| return x.EvaluatedExampleCount |
| } |
| return 0 |
| } |
| |
| type isModelEvaluation_Metrics interface { |
| isModelEvaluation_Metrics() |
| } |
| |
| type ModelEvaluation_ClassificationEvaluationMetrics struct { |
| // Model evaluation metrics for image, text, video and tables |
| // classification. |
| // Tables problem is considered a classification when the target column |
| // is CATEGORY DataType. |
| ClassificationEvaluationMetrics *ClassificationEvaluationMetrics `protobuf:"bytes,8,opt,name=classification_evaluation_metrics,json=classificationEvaluationMetrics,proto3,oneof"` |
| } |
| |
| type ModelEvaluation_TranslationEvaluationMetrics struct { |
| // Model evaluation metrics for translation. |
| TranslationEvaluationMetrics *TranslationEvaluationMetrics `protobuf:"bytes,9,opt,name=translation_evaluation_metrics,json=translationEvaluationMetrics,proto3,oneof"` |
| } |
| |
| type ModelEvaluation_ImageObjectDetectionEvaluationMetrics struct { |
| // Model evaluation metrics for image object detection. |
| ImageObjectDetectionEvaluationMetrics *ImageObjectDetectionEvaluationMetrics `protobuf:"bytes,12,opt,name=image_object_detection_evaluation_metrics,json=imageObjectDetectionEvaluationMetrics,proto3,oneof"` |
| } |
| |
| type ModelEvaluation_TextSentimentEvaluationMetrics struct { |
| // Evaluation metrics for text sentiment models. |
| TextSentimentEvaluationMetrics *TextSentimentEvaluationMetrics `protobuf:"bytes,11,opt,name=text_sentiment_evaluation_metrics,json=textSentimentEvaluationMetrics,proto3,oneof"` |
| } |
| |
| type ModelEvaluation_TextExtractionEvaluationMetrics struct { |
| // Evaluation metrics for text extraction models. |
| TextExtractionEvaluationMetrics *TextExtractionEvaluationMetrics `protobuf:"bytes,13,opt,name=text_extraction_evaluation_metrics,json=textExtractionEvaluationMetrics,proto3,oneof"` |
| } |
| |
| func (*ModelEvaluation_ClassificationEvaluationMetrics) isModelEvaluation_Metrics() {} |
| |
| func (*ModelEvaluation_TranslationEvaluationMetrics) isModelEvaluation_Metrics() {} |
| |
| func (*ModelEvaluation_ImageObjectDetectionEvaluationMetrics) isModelEvaluation_Metrics() {} |
| |
| func (*ModelEvaluation_TextSentimentEvaluationMetrics) isModelEvaluation_Metrics() {} |
| |
| func (*ModelEvaluation_TextExtractionEvaluationMetrics) isModelEvaluation_Metrics() {} |
| |
| var File_google_cloud_automl_v1_model_evaluation_proto protoreflect.FileDescriptor |
| |
| var file_google_cloud_automl_v1_model_evaluation_proto_rawDesc = []byte{ |
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| } |
| |
| var ( |
| file_google_cloud_automl_v1_model_evaluation_proto_rawDescOnce sync.Once |
| file_google_cloud_automl_v1_model_evaluation_proto_rawDescData = file_google_cloud_automl_v1_model_evaluation_proto_rawDesc |
| ) |
| |
| func file_google_cloud_automl_v1_model_evaluation_proto_rawDescGZIP() []byte { |
| file_google_cloud_automl_v1_model_evaluation_proto_rawDescOnce.Do(func() { |
| file_google_cloud_automl_v1_model_evaluation_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_automl_v1_model_evaluation_proto_rawDescData) |
| }) |
| return file_google_cloud_automl_v1_model_evaluation_proto_rawDescData |
| } |
| |
| var file_google_cloud_automl_v1_model_evaluation_proto_msgTypes = make([]protoimpl.MessageInfo, 1) |
| var file_google_cloud_automl_v1_model_evaluation_proto_goTypes = []interface{}{ |
| (*ModelEvaluation)(nil), // 0: google.cloud.automl.v1.ModelEvaluation |
| (*ClassificationEvaluationMetrics)(nil), // 1: google.cloud.automl.v1.ClassificationEvaluationMetrics |
| (*TranslationEvaluationMetrics)(nil), // 2: google.cloud.automl.v1.TranslationEvaluationMetrics |
| (*ImageObjectDetectionEvaluationMetrics)(nil), // 3: google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics |
| (*TextSentimentEvaluationMetrics)(nil), // 4: google.cloud.automl.v1.TextSentimentEvaluationMetrics |
| (*TextExtractionEvaluationMetrics)(nil), // 5: google.cloud.automl.v1.TextExtractionEvaluationMetrics |
| (*timestamp.Timestamp)(nil), // 6: google.protobuf.Timestamp |
| } |
| var file_google_cloud_automl_v1_model_evaluation_proto_depIdxs = []int32{ |
| 1, // 0: google.cloud.automl.v1.ModelEvaluation.classification_evaluation_metrics:type_name -> google.cloud.automl.v1.ClassificationEvaluationMetrics |
| 2, // 1: google.cloud.automl.v1.ModelEvaluation.translation_evaluation_metrics:type_name -> google.cloud.automl.v1.TranslationEvaluationMetrics |
| 3, // 2: google.cloud.automl.v1.ModelEvaluation.image_object_detection_evaluation_metrics:type_name -> google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics |
| 4, // 3: google.cloud.automl.v1.ModelEvaluation.text_sentiment_evaluation_metrics:type_name -> google.cloud.automl.v1.TextSentimentEvaluationMetrics |
| 5, // 4: google.cloud.automl.v1.ModelEvaluation.text_extraction_evaluation_metrics:type_name -> google.cloud.automl.v1.TextExtractionEvaluationMetrics |
| 6, // 5: google.cloud.automl.v1.ModelEvaluation.create_time:type_name -> google.protobuf.Timestamp |
| 6, // [6:6] is the sub-list for method output_type |
| 6, // [6:6] is the sub-list for method input_type |
| 6, // [6:6] is the sub-list for extension type_name |
| 6, // [6:6] is the sub-list for extension extendee |
| 0, // [0:6] is the sub-list for field type_name |
| } |
| |
| func init() { file_google_cloud_automl_v1_model_evaluation_proto_init() } |
| func file_google_cloud_automl_v1_model_evaluation_proto_init() { |
| if File_google_cloud_automl_v1_model_evaluation_proto != nil { |
| return |
| } |
| file_google_cloud_automl_v1_classification_proto_init() |
| file_google_cloud_automl_v1_detection_proto_init() |
| file_google_cloud_automl_v1_text_extraction_proto_init() |
| file_google_cloud_automl_v1_text_sentiment_proto_init() |
| file_google_cloud_automl_v1_translation_proto_init() |
| if !protoimpl.UnsafeEnabled { |
| file_google_cloud_automl_v1_model_evaluation_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ModelEvaluation); 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_evaluation_proto_msgTypes[0].OneofWrappers = []interface{}{ |
| (*ModelEvaluation_ClassificationEvaluationMetrics)(nil), |
| (*ModelEvaluation_TranslationEvaluationMetrics)(nil), |
| (*ModelEvaluation_ImageObjectDetectionEvaluationMetrics)(nil), |
| (*ModelEvaluation_TextSentimentEvaluationMetrics)(nil), |
| (*ModelEvaluation_TextExtractionEvaluationMetrics)(nil), |
| } |
| type x struct{} |
| out := protoimpl.TypeBuilder{ |
| File: protoimpl.DescBuilder{ |
| GoPackagePath: reflect.TypeOf(x{}).PkgPath(), |
| RawDescriptor: file_google_cloud_automl_v1_model_evaluation_proto_rawDesc, |
| NumEnums: 0, |
| NumMessages: 1, |
| NumExtensions: 0, |
| NumServices: 0, |
| }, |
| GoTypes: file_google_cloud_automl_v1_model_evaluation_proto_goTypes, |
| DependencyIndexes: file_google_cloud_automl_v1_model_evaluation_proto_depIdxs, |
| MessageInfos: file_google_cloud_automl_v1_model_evaluation_proto_msgTypes, |
| }.Build() |
| File_google_cloud_automl_v1_model_evaluation_proto = out.File |
| file_google_cloud_automl_v1_model_evaluation_proto_rawDesc = nil |
| file_google_cloud_automl_v1_model_evaluation_proto_goTypes = nil |
| file_google_cloud_automl_v1_model_evaluation_proto_depIdxs = nil |
| } |
