googleapis/cloud/automl/v1beta1/model_evaluation.pb.go - external/github.com/google/go-genproto - Git at Google

 // Code generated by protoc-gen-go. DO NOT EDIT.
 // source: google/cloud/automl/v1beta1/model_evaluation.proto

 package automl // import "google.golang.org/genproto/googleapis/cloud/automl/v1beta1"

 import proto "github.com/golang/protobuf/proto"
 import fmt "fmt"
 import math "math"
 import timestamp "github.com/golang/protobuf/ptypes/timestamp"
 import _ "google.golang.org/genproto/googleapis/api/annotations"

 // Reference imports to suppress errors if they are not otherwise used.
 var _ = proto.Marshal
 var _ = fmt.Errorf
 var _ = math.Inf

 // This is a compile-time assertion to ensure that this generated file
 // is compatible with the proto package it is being compiled against.
 // A compilation error at this line likely means your copy of the
 // proto package needs to be updated.
 const _ = proto.ProtoPackageIsVersion2 // please upgrade the proto package

 // Evaluation results of a model.
 type ModelEvaluation struct {
 	// Output only. Problem type specific evaluation metrics.
 	//
 	// Types that are valid to be assigned to Metrics:
 	//	*ModelEvaluation_ClassificationEvaluationMetrics
 	//	*ModelEvaluation_TranslationEvaluationMetrics
 	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
 	// ID is empty for overall model evaluation.
 	// NOTE: Currently there is no way to obtain the display_name of the
 	// annotation spec from its ID. To see the display_names, review the model
 	// evaluations in the UI.
 	AnnotationSpecId string `protobuf:"bytes,2,opt,name=annotation_spec_id,json=annotationSpecId,proto3" json:"annotation_spec_id,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.
 	EvaluatedExampleCount int32    `protobuf:"varint,6,opt,name=evaluated_example_count,json=evaluatedExampleCount,proto3" json:"evaluated_example_count,omitempty"`
 	XXX_NoUnkeyedLiteral  struct{} `json:"-"`
 	XXX_unrecognized      []byte   `json:"-"`
 	XXX_sizecache         int32    `json:"-"`
 }

 func (m *ModelEvaluation) Reset()         { *m = ModelEvaluation{} }
 func (m *ModelEvaluation) String() string { return proto.CompactTextString(m) }
 func (*ModelEvaluation) ProtoMessage()    {}
 func (*ModelEvaluation) Descriptor() ([]byte, []int) {
 	return fileDescriptor_model_evaluation_77eb85cbfb723c98, []int{0}
 }
 func (m *ModelEvaluation) XXX_Unmarshal(b []byte) error {
 	return xxx_messageInfo_ModelEvaluation.Unmarshal(m, b)
 }
 func (m *ModelEvaluation) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
 	return xxx_messageInfo_ModelEvaluation.Marshal(b, m, deterministic)
 }
 func (dst *ModelEvaluation) XXX_Merge(src proto.Message) {
 	xxx_messageInfo_ModelEvaluation.Merge(dst, src)
 }
 func (m *ModelEvaluation) XXX_Size() int {
 	return xxx_messageInfo_ModelEvaluation.Size(m)
 }
 func (m *ModelEvaluation) XXX_DiscardUnknown() {
 	xxx_messageInfo_ModelEvaluation.DiscardUnknown(m)
 }

 var xxx_messageInfo_ModelEvaluation proto.InternalMessageInfo

 type isModelEvaluation_Metrics interface {
 	isModelEvaluation_Metrics()
 }

 type ModelEvaluation_ClassificationEvaluationMetrics struct {
 	ClassificationEvaluationMetrics *ClassificationEvaluationMetrics `protobuf:"bytes,8,opt,name=classification_evaluation_metrics,json=classificationEvaluationMetrics,proto3,oneof"`
 }

 type ModelEvaluation_TranslationEvaluationMetrics struct {
 	TranslationEvaluationMetrics *TranslationEvaluationMetrics `protobuf:"bytes,9,opt,name=translation_evaluation_metrics,json=translationEvaluationMetrics,proto3,oneof"`
 }

 func (*ModelEvaluation_ClassificationEvaluationMetrics) isModelEvaluation_Metrics() {}

 func (*ModelEvaluation_TranslationEvaluationMetrics) isModelEvaluation_Metrics() {}

 func (m *ModelEvaluation) GetMetrics() isModelEvaluation_Metrics {
 	if m != nil {
 		return m.Metrics
 	}
 	return nil
 }

 func (m *ModelEvaluation) GetClassificationEvaluationMetrics() *ClassificationEvaluationMetrics {
 	if x, ok := m.GetMetrics().(*ModelEvaluation_ClassificationEvaluationMetrics); ok {
 		return x.ClassificationEvaluationMetrics
 	}
 	return nil
 }

 func (m *ModelEvaluation) GetTranslationEvaluationMetrics() *TranslationEvaluationMetrics {
 	if x, ok := m.GetMetrics().(*ModelEvaluation_TranslationEvaluationMetrics); ok {
 		return x.TranslationEvaluationMetrics
 	}
 	return nil
 }

 func (m *ModelEvaluation) GetName() string {
 	if m != nil {
 		return m.Name
 	}
 	return ""
 }

 func (m *ModelEvaluation) GetAnnotationSpecId() string {
 	if m != nil {
 		return m.AnnotationSpecId
 	}
 	return ""
 }

 func (m *ModelEvaluation) GetCreateTime() *timestamp.Timestamp {
 	if m != nil {
 		return m.CreateTime
 	}
 	return nil
 }

 func (m *ModelEvaluation) GetEvaluatedExampleCount() int32 {
 	if m != nil {
 		return m.EvaluatedExampleCount
 	}
 	return 0
 }

 // XXX_OneofFuncs is for the internal use of the proto package.
 func (*ModelEvaluation) XXX_OneofFuncs() (func(msg proto.Message, b *proto.Buffer) error, func(msg proto.Message, tag, wire int, b *proto.Buffer) (bool, error), func(msg proto.Message) (n int), []interface{}) {
 	return _ModelEvaluation_OneofMarshaler, _ModelEvaluation_OneofUnmarshaler, _ModelEvaluation_OneofSizer, []interface{}{
 		(*ModelEvaluation_ClassificationEvaluationMetrics)(nil),
 		(*ModelEvaluation_TranslationEvaluationMetrics)(nil),
 	}
 }

 func _ModelEvaluation_OneofMarshaler(msg proto.Message, b *proto.Buffer) error {
 	m := msg.(*ModelEvaluation)
 	// metrics
 	switch x := m.Metrics.(type) {
 	case *ModelEvaluation_ClassificationEvaluationMetrics:
 		b.EncodeVarint(8<<3 | proto.WireBytes)
 		if err := b.EncodeMessage(x.ClassificationEvaluationMetrics); err != nil {
 			return err
 		}
 	case *ModelEvaluation_TranslationEvaluationMetrics:
 		b.EncodeVarint(9<<3 | proto.WireBytes)
 		if err := b.EncodeMessage(x.TranslationEvaluationMetrics); err != nil {
 			return err
 		}
 	case nil:
 	default:
 		return fmt.Errorf("ModelEvaluation.Metrics has unexpected type %T", x)
 	}
 	return nil
 }

 func _ModelEvaluation_OneofUnmarshaler(msg proto.Message, tag, wire int, b *proto.Buffer) (bool, error) {
 	m := msg.(*ModelEvaluation)
 	switch tag {
 	case 8: // metrics.classification_evaluation_metrics
 		if wire != proto.WireBytes {
 			return true, proto.ErrInternalBadWireType
 		}
 		msg := new(ClassificationEvaluationMetrics)
 		err := b.DecodeMessage(msg)
 		m.Metrics = &ModelEvaluation_ClassificationEvaluationMetrics{msg}
 		return true, err
 	case 9: // metrics.translation_evaluation_metrics
 		if wire != proto.WireBytes {
 			return true, proto.ErrInternalBadWireType
 		}
 		msg := new(TranslationEvaluationMetrics)
 		err := b.DecodeMessage(msg)
 		m.Metrics = &ModelEvaluation_TranslationEvaluationMetrics{msg}
 		return true, err
 	default:
 		return false, nil
 	}
 }

 func _ModelEvaluation_OneofSizer(msg proto.Message) (n int) {
 	m := msg.(*ModelEvaluation)
 	// metrics
 	switch x := m.Metrics.(type) {
 	case *ModelEvaluation_ClassificationEvaluationMetrics:
 		s := proto.Size(x.ClassificationEvaluationMetrics)
 		n += 1 // tag and wire
 		n += proto.SizeVarint(uint64(s))
 		n += s
 	case *ModelEvaluation_TranslationEvaluationMetrics:
 		s := proto.Size(x.TranslationEvaluationMetrics)
 		n += 1 // tag and wire
 		n += proto.SizeVarint(uint64(s))
 		n += s
 	case nil:
 	default:
 		panic(fmt.Sprintf("proto: unexpected type %T in oneof", x))
 	}
 	return n
 }

 func init() {
 	proto.RegisterType((*ModelEvaluation)(nil), "google.cloud.automl.v1beta1.ModelEvaluation")
 }

 func init() {
 	proto.RegisterFile("google/cloud/automl/v1beta1/model_evaluation.proto", fileDescriptor_model_evaluation_77eb85cbfb723c98)
 }

 var fileDescriptor_model_evaluation_77eb85cbfb723c98 = []byte{
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 }
	// Code generated by protoc-gen-go. DO NOT EDIT.
	// source: google/cloud/automl/v1beta1/model_evaluation.proto

	package automl // import "google.golang.org/genproto/googleapis/cloud/automl/v1beta1"

	import proto "github.com/golang/protobuf/proto"
	import fmt "fmt"
	import math "math"
	import timestamp "github.com/golang/protobuf/ptypes/timestamp"
	import _ "google.golang.org/genproto/googleapis/api/annotations"

	// Reference imports to suppress errors if they are not otherwise used.
	var _ = proto.Marshal
	var _ = fmt.Errorf
	var _ = math.Inf

	// This is a compile-time assertion to ensure that this generated file
	// is compatible with the proto package it is being compiled against.
	// A compilation error at this line likely means your copy of the
	// proto package needs to be updated.
	const _ = proto.ProtoPackageIsVersion2 // please upgrade the proto package

	// Evaluation results of a model.
	type ModelEvaluation struct {
	// Output only. Problem type specific evaluation metrics.
	//
	// Types that are valid to be assigned to Metrics:
	// *ModelEvaluation_ClassificationEvaluationMetrics
	// *ModelEvaluation_TranslationEvaluationMetrics
	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
	// ID is empty for overall model evaluation.
	// NOTE: Currently there is no way to obtain the display_name of the
	// annotation spec from its ID. To see the display_names, review the model
	// evaluations in the UI.
	AnnotationSpecId string `protobuf:"bytes,2,opt,name=annotation_spec_id,json=annotationSpecId,proto3" json:"annotation_spec_id,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.
	EvaluatedExampleCount int32 `protobuf:"varint,6,opt,name=evaluated_example_count,json=evaluatedExampleCount,proto3" json:"evaluated_example_count,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized []byte `json:"-"`
	XXX_sizecache int32 `json:"-"`
	}

	func (m ModelEvaluation) Reset() { m = ModelEvaluation{} }
	func (m *ModelEvaluation) String() string { return proto.CompactTextString(m) }
	func (*ModelEvaluation) ProtoMessage() {}
	func (*ModelEvaluation) Descriptor() ([]byte, []int) {
	return fileDescriptor_model_evaluation_77eb85cbfb723c98, []int{0}
	}
	func (m *ModelEvaluation) XXX_Unmarshal(b []byte) error {
	return xxx_messageInfo_ModelEvaluation.Unmarshal(m, b)
	}
	func (m *ModelEvaluation) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
	return xxx_messageInfo_ModelEvaluation.Marshal(b, m, deterministic)
	}
	func (dst *ModelEvaluation) XXX_Merge(src proto.Message) {
	xxx_messageInfo_ModelEvaluation.Merge(dst, src)
	}
	func (m *ModelEvaluation) XXX_Size() int {
	return xxx_messageInfo_ModelEvaluation.Size(m)
	}
	func (m *ModelEvaluation) XXX_DiscardUnknown() {
	xxx_messageInfo_ModelEvaluation.DiscardUnknown(m)
	}

	var xxx_messageInfo_ModelEvaluation proto.InternalMessageInfo

	type isModelEvaluation_Metrics interface {
	isModelEvaluation_Metrics()
	}

	type ModelEvaluation_ClassificationEvaluationMetrics struct {
	ClassificationEvaluationMetrics *ClassificationEvaluationMetrics `protobuf:"bytes,8,opt,name=classification_evaluation_metrics,json=classificationEvaluationMetrics,proto3,oneof"`
	}

	type ModelEvaluation_TranslationEvaluationMetrics struct {
	TranslationEvaluationMetrics *TranslationEvaluationMetrics `protobuf:"bytes,9,opt,name=translation_evaluation_metrics,json=translationEvaluationMetrics,proto3,oneof"`
	}

	func (*ModelEvaluation_ClassificationEvaluationMetrics) isModelEvaluation_Metrics() {}

	func (*ModelEvaluation_TranslationEvaluationMetrics) isModelEvaluation_Metrics() {}

	func (m *ModelEvaluation) GetMetrics() isModelEvaluation_Metrics {
	if m != nil {
	return m.Metrics
	}
	return nil
	}

	func (m ModelEvaluation) GetClassificationEvaluationMetrics() ClassificationEvaluationMetrics {
	if x, ok := m.GetMetrics().(*ModelEvaluation_ClassificationEvaluationMetrics); ok {
	return x.ClassificationEvaluationMetrics
	}
	return nil
	}

	func (m ModelEvaluation) GetTranslationEvaluationMetrics() TranslationEvaluationMetrics {
	if x, ok := m.GetMetrics().(*ModelEvaluation_TranslationEvaluationMetrics); ok {
	return x.TranslationEvaluationMetrics
	}
	return nil
	}

	func (m *ModelEvaluation) GetName() string {
	if m != nil {
	return m.Name
	}
	return ""
	}

	func (m *ModelEvaluation) GetAnnotationSpecId() string {
	if m != nil {
	return m.AnnotationSpecId
	}
	return ""
	}

	func (m ModelEvaluation) GetCreateTime() timestamp.Timestamp {
	if m != nil {
	return m.CreateTime
	}
	return nil
	}

	func (m *ModelEvaluation) GetEvaluatedExampleCount() int32 {
	if m != nil {
	return m.EvaluatedExampleCount
	}
	return 0
	}

	// XXX_OneofFuncs is for the internal use of the proto package.
	func (ModelEvaluation) XXX_OneofFuncs() (func(msg proto.Message, b proto.Buffer) error, func(msg proto.Message, tag, wire int, b *proto.Buffer) (bool, error), func(msg proto.Message) (n int), []interface{}) {
	return _ModelEvaluation_OneofMarshaler, _ModelEvaluation_OneofUnmarshaler, _ModelEvaluation_OneofSizer, []interface{}{
	(*ModelEvaluation_ClassificationEvaluationMetrics)(nil),
	(*ModelEvaluation_TranslationEvaluationMetrics)(nil),
	}
	}

	func _ModelEvaluation_OneofMarshaler(msg proto.Message, b *proto.Buffer) error {
	m := msg.(*ModelEvaluation)
	// metrics
	switch x := m.Metrics.(type) {
	case *ModelEvaluation_ClassificationEvaluationMetrics:
	b.EncodeVarint(8<<3 \| proto.WireBytes)
	if err := b.EncodeMessage(x.ClassificationEvaluationMetrics); err != nil {
	return err
	}
	case *ModelEvaluation_TranslationEvaluationMetrics:
	b.EncodeVarint(9<<3 \| proto.WireBytes)
	if err := b.EncodeMessage(x.TranslationEvaluationMetrics); err != nil {
	return err
	}
	case nil:
	default:
	return fmt.Errorf("ModelEvaluation.Metrics has unexpected type %T", x)
	}
	return nil
	}

	func _ModelEvaluation_OneofUnmarshaler(msg proto.Message, tag, wire int, b *proto.Buffer) (bool, error) {
	m := msg.(*ModelEvaluation)
	switch tag {
	case 8: // metrics.classification_evaluation_metrics
	if wire != proto.WireBytes {
	return true, proto.ErrInternalBadWireType
	}
	msg := new(ClassificationEvaluationMetrics)
	err := b.DecodeMessage(msg)
	m.Metrics = &ModelEvaluation_ClassificationEvaluationMetrics{msg}
	return true, err
	case 9: // metrics.translation_evaluation_metrics
	if wire != proto.WireBytes {
	return true, proto.ErrInternalBadWireType
	}
	msg := new(TranslationEvaluationMetrics)
	err := b.DecodeMessage(msg)
	m.Metrics = &ModelEvaluation_TranslationEvaluationMetrics{msg}
	return true, err
	default:
	return false, nil
	}
	}

	func _ModelEvaluation_OneofSizer(msg proto.Message) (n int) {
	m := msg.(*ModelEvaluation)
	// metrics
	switch x := m.Metrics.(type) {
	case *ModelEvaluation_ClassificationEvaluationMetrics:
	s := proto.Size(x.ClassificationEvaluationMetrics)
	n += 1 // tag and wire
	n += proto.SizeVarint(uint64(s))
	n += s
	case *ModelEvaluation_TranslationEvaluationMetrics:
	s := proto.Size(x.TranslationEvaluationMetrics)
	n += 1 // tag and wire
	n += proto.SizeVarint(uint64(s))
	n += s
	case nil:
	default:
	panic(fmt.Sprintf("proto: unexpected type %T in oneof", x))
	}
	return n
	}

	func init() {
	proto.RegisterType((*ModelEvaluation)(nil), "google.cloud.automl.v1beta1.ModelEvaluation")
	}

	func init() {
	proto.RegisterFile("google/cloud/automl/v1beta1/model_evaluation.proto", fileDescriptor_model_evaluation_77eb85cbfb723c98)
	}

	var fileDescriptor_model_evaluation_77eb85cbfb723c98 = []byte{
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