/
model_evaluation.pb.go
executable file
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/
model_evaluation.pb.go
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// 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 v1.32.0
// protoc v4.25.2
// 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
}