| // Copyright 2023 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/v1/model_evaluation.proto |
| |
| package aiplatformpb |
| |
| import ( |
| reflect "reflect" |
| sync "sync" |
| |
| _ "google.golang.org/genproto/googleapis/api/annotations" |
| protoreflect "google.golang.org/protobuf/reflect/protoreflect" |
| protoimpl "google.golang.org/protobuf/runtime/protoimpl" |
| structpb "google.golang.org/protobuf/types/known/structpb" |
| timestamppb "google.golang.org/protobuf/types/known/timestamppb" |
| ) |
| |
| 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) |
| ) |
| |
| // A collection of metrics calculated by comparing Model's predictions on all of |
| // the test data against annotations from the test data. |
| type ModelEvaluation struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Output only. The resource name of the ModelEvaluation. |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| // The display name of the ModelEvaluation. |
| DisplayName string `protobuf:"bytes,10,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"` |
| // Points to a YAML file stored on Google Cloud Storage describing the |
| // [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this |
| // ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 [Schema |
| // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject). |
| MetricsSchemaUri string `protobuf:"bytes,2,opt,name=metrics_schema_uri,json=metricsSchemaUri,proto3" json:"metrics_schema_uri,omitempty"` |
| // Evaluation metrics of the Model. The schema of the metrics is stored in |
| // [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluation.metrics_schema_uri] |
| Metrics *structpb.Value `protobuf:"bytes,3,opt,name=metrics,proto3" json:"metrics,omitempty"` |
| // Output only. Timestamp when this ModelEvaluation was created. |
| CreateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"` |
| // All possible |
| // [dimensions][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.dimension] |
| // of ModelEvaluationSlices. The dimensions can be used as the filter of the |
| // [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] |
| // request, in the form of `slice.dimension = <dimension>`. |
| SliceDimensions []string `protobuf:"bytes,5,rep,name=slice_dimensions,json=sliceDimensions,proto3" json:"slice_dimensions,omitempty"` |
| // Points to a YAML file stored on Google Cloud Storage describing |
| // [EvaluatedDataItemView.data_item_payload][] and |
| // [EvaluatedAnnotation.data_item_payload][google.cloud.aiplatform.v1.EvaluatedAnnotation.data_item_payload]. |
| // The schema is defined as an OpenAPI 3.0.2 [Schema |
| // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject). |
| // |
| // This field is not populated if there are neither EvaluatedDataItemViews nor |
| // EvaluatedAnnotations under this ModelEvaluation. |
| DataItemSchemaUri string `protobuf:"bytes,6,opt,name=data_item_schema_uri,json=dataItemSchemaUri,proto3" json:"data_item_schema_uri,omitempty"` |
| // Points to a YAML file stored on Google Cloud Storage describing |
| // [EvaluatedDataItemView.predictions][], |
| // [EvaluatedDataItemView.ground_truths][], |
| // [EvaluatedAnnotation.predictions][google.cloud.aiplatform.v1.EvaluatedAnnotation.predictions], |
| // and |
| // [EvaluatedAnnotation.ground_truths][google.cloud.aiplatform.v1.EvaluatedAnnotation.ground_truths]. |
| // The schema is defined as an OpenAPI 3.0.2 [Schema |
| // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject). |
| // |
| // This field is not populated if there are neither EvaluatedDataItemViews nor |
| // EvaluatedAnnotations under this ModelEvaluation. |
| AnnotationSchemaUri string `protobuf:"bytes,7,opt,name=annotation_schema_uri,json=annotationSchemaUri,proto3" json:"annotation_schema_uri,omitempty"` |
| // Aggregated explanation metrics for the Model's prediction output over the |
| // data this ModelEvaluation uses. This field is populated only if the Model |
| // is evaluated with explanations, and only for AutoML tabular Models. |
| ModelExplanation *ModelExplanation `protobuf:"bytes,8,opt,name=model_explanation,json=modelExplanation,proto3" json:"model_explanation,omitempty"` |
| // Describes the values of |
| // [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used |
| // for explaining the predicted values on the evaluated data. |
| ExplanationSpecs []*ModelEvaluation_ModelEvaluationExplanationSpec `protobuf:"bytes,9,rep,name=explanation_specs,json=explanationSpecs,proto3" json:"explanation_specs,omitempty"` |
| // The metadata of the ModelEvaluation. |
| // For the ModelEvaluation uploaded from Managed Pipeline, metadata contains a |
| // structured value with keys of "pipeline_job_id", "evaluation_dataset_type", |
| // "evaluation_dataset_path", "row_based_metrics_path". |
| Metadata *structpb.Value `protobuf:"bytes,11,opt,name=metadata,proto3" json:"metadata,omitempty"` |
| } |
| |
| func (x *ModelEvaluation) Reset() { |
| *x = ModelEvaluation{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_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_aiplatform_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_aiplatform_v1_model_evaluation_proto_rawDescGZIP(), []int{0} |
| } |
| |
| func (x *ModelEvaluation) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| func (x *ModelEvaluation) GetDisplayName() string { |
| if x != nil { |
| return x.DisplayName |
| } |
| return "" |
| } |
| |
| func (x *ModelEvaluation) GetMetricsSchemaUri() string { |
| if x != nil { |
| return x.MetricsSchemaUri |
| } |
| return "" |
| } |
| |
| func (x *ModelEvaluation) GetMetrics() *structpb.Value { |
| if x != nil { |
| return x.Metrics |
| } |
| return nil |
| } |
| |
| func (x *ModelEvaluation) GetCreateTime() *timestamppb.Timestamp { |
| if x != nil { |
| return x.CreateTime |
| } |
| return nil |
| } |
| |
| func (x *ModelEvaluation) GetSliceDimensions() []string { |
| if x != nil { |
| return x.SliceDimensions |
| } |
| return nil |
| } |
| |
| func (x *ModelEvaluation) GetDataItemSchemaUri() string { |
| if x != nil { |
| return x.DataItemSchemaUri |
| } |
| return "" |
| } |
| |
| func (x *ModelEvaluation) GetAnnotationSchemaUri() string { |
| if x != nil { |
| return x.AnnotationSchemaUri |
| } |
| return "" |
| } |
| |
| func (x *ModelEvaluation) GetModelExplanation() *ModelExplanation { |
| if x != nil { |
| return x.ModelExplanation |
| } |
| return nil |
| } |
| |
| func (x *ModelEvaluation) GetExplanationSpecs() []*ModelEvaluation_ModelEvaluationExplanationSpec { |
| if x != nil { |
| return x.ExplanationSpecs |
| } |
| return nil |
| } |
| |
| func (x *ModelEvaluation) GetMetadata() *structpb.Value { |
| if x != nil { |
| return x.Metadata |
| } |
| return nil |
| } |
| |
| type ModelEvaluation_ModelEvaluationExplanationSpec struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Explanation type. |
| // |
| // For AutoML Image Classification models, possible values are: |
| // |
| // - `image-integrated-gradients` |
| // - `image-xrai` |
| ExplanationType string `protobuf:"bytes,1,opt,name=explanation_type,json=explanationType,proto3" json:"explanation_type,omitempty"` |
| // Explanation spec details. |
| ExplanationSpec *ExplanationSpec `protobuf:"bytes,2,opt,name=explanation_spec,json=explanationSpec,proto3" json:"explanation_spec,omitempty"` |
| } |
| |
| func (x *ModelEvaluation_ModelEvaluationExplanationSpec) Reset() { |
| *x = ModelEvaluation_ModelEvaluationExplanationSpec{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_model_evaluation_proto_msgTypes[1] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ModelEvaluation_ModelEvaluationExplanationSpec) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ModelEvaluation_ModelEvaluationExplanationSpec) ProtoMessage() {} |
| |
| func (x *ModelEvaluation_ModelEvaluationExplanationSpec) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_model_evaluation_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 ModelEvaluation_ModelEvaluationExplanationSpec.ProtoReflect.Descriptor instead. |
| func (*ModelEvaluation_ModelEvaluationExplanationSpec) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_model_evaluation_proto_rawDescGZIP(), []int{0, 0} |
| } |
| |
| func (x *ModelEvaluation_ModelEvaluationExplanationSpec) GetExplanationType() string { |
| if x != nil { |
| return x.ExplanationType |
| } |
| return "" |
| } |
| |
| func (x *ModelEvaluation_ModelEvaluationExplanationSpec) GetExplanationSpec() *ExplanationSpec { |
| if x != nil { |
| return x.ExplanationSpec |
| } |
| return nil |
| } |
| |
| var File_google_cloud_aiplatform_v1_model_evaluation_proto protoreflect.FileDescriptor |
| |
| var file_google_cloud_aiplatform_v1_model_evaluation_proto_rawDesc = []byte{ |
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| } |
| |
| var ( |
| file_google_cloud_aiplatform_v1_model_evaluation_proto_rawDescOnce sync.Once |
| file_google_cloud_aiplatform_v1_model_evaluation_proto_rawDescData = file_google_cloud_aiplatform_v1_model_evaluation_proto_rawDesc |
| ) |
| |
| func file_google_cloud_aiplatform_v1_model_evaluation_proto_rawDescGZIP() []byte { |
| file_google_cloud_aiplatform_v1_model_evaluation_proto_rawDescOnce.Do(func() { |
| file_google_cloud_aiplatform_v1_model_evaluation_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1_model_evaluation_proto_rawDescData) |
| }) |
| return file_google_cloud_aiplatform_v1_model_evaluation_proto_rawDescData |
| } |
| |
| var file_google_cloud_aiplatform_v1_model_evaluation_proto_msgTypes = make([]protoimpl.MessageInfo, 2) |
| var file_google_cloud_aiplatform_v1_model_evaluation_proto_goTypes = []interface{}{ |
| (*ModelEvaluation)(nil), // 0: google.cloud.aiplatform.v1.ModelEvaluation |
| (*ModelEvaluation_ModelEvaluationExplanationSpec)(nil), // 1: google.cloud.aiplatform.v1.ModelEvaluation.ModelEvaluationExplanationSpec |
| (*structpb.Value)(nil), // 2: google.protobuf.Value |
| (*timestamppb.Timestamp)(nil), // 3: google.protobuf.Timestamp |
| (*ModelExplanation)(nil), // 4: google.cloud.aiplatform.v1.ModelExplanation |
| (*ExplanationSpec)(nil), // 5: google.cloud.aiplatform.v1.ExplanationSpec |
| } |
| var file_google_cloud_aiplatform_v1_model_evaluation_proto_depIdxs = []int32{ |
| 2, // 0: google.cloud.aiplatform.v1.ModelEvaluation.metrics:type_name -> google.protobuf.Value |
| 3, // 1: google.cloud.aiplatform.v1.ModelEvaluation.create_time:type_name -> google.protobuf.Timestamp |
| 4, // 2: google.cloud.aiplatform.v1.ModelEvaluation.model_explanation:type_name -> google.cloud.aiplatform.v1.ModelExplanation |
| 1, // 3: google.cloud.aiplatform.v1.ModelEvaluation.explanation_specs:type_name -> google.cloud.aiplatform.v1.ModelEvaluation.ModelEvaluationExplanationSpec |
| 2, // 4: google.cloud.aiplatform.v1.ModelEvaluation.metadata:type_name -> google.protobuf.Value |
| 5, // 5: google.cloud.aiplatform.v1.ModelEvaluation.ModelEvaluationExplanationSpec.explanation_spec:type_name -> google.cloud.aiplatform.v1.ExplanationSpec |
| 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_aiplatform_v1_model_evaluation_proto_init() } |
| func file_google_cloud_aiplatform_v1_model_evaluation_proto_init() { |
| if File_google_cloud_aiplatform_v1_model_evaluation_proto != nil { |
| return |
| } |
| file_google_cloud_aiplatform_v1_explanation_proto_init() |
| if !protoimpl.UnsafeEnabled { |
| file_google_cloud_aiplatform_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_aiplatform_v1_model_evaluation_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ModelEvaluation_ModelEvaluationExplanationSpec); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| } |
| type x struct{} |
| out := protoimpl.TypeBuilder{ |
| File: protoimpl.DescBuilder{ |
| GoPackagePath: reflect.TypeOf(x{}).PkgPath(), |
| RawDescriptor: file_google_cloud_aiplatform_v1_model_evaluation_proto_rawDesc, |
| NumEnums: 0, |
| NumMessages: 2, |
| NumExtensions: 0, |
| NumServices: 0, |
| }, |
| GoTypes: file_google_cloud_aiplatform_v1_model_evaluation_proto_goTypes, |
| DependencyIndexes: file_google_cloud_aiplatform_v1_model_evaluation_proto_depIdxs, |
| MessageInfos: file_google_cloud_aiplatform_v1_model_evaluation_proto_msgTypes, |
| }.Build() |
| File_google_cloud_aiplatform_v1_model_evaluation_proto = out.File |
| file_google_cloud_aiplatform_v1_model_evaluation_proto_rawDesc = nil |
| file_google_cloud_aiplatform_v1_model_evaluation_proto_goTypes = nil |
| file_google_cloud_aiplatform_v1_model_evaluation_proto_depIdxs = nil |
| } |
