transfer.sh/vendor/google.golang.org/genproto/googleapis/cloud/automl/v1beta1/model_evaluation.pb.go

// 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_1263308439036312, []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_1263308439036312)
}

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