googleapis/cloud/automl/v1/text_extraction.pb.go - third_party/github.com/googleapis/go-genproto - Git at Google

 // Code generated by protoc-gen-go. DO NOT EDIT.
 // source: google/cloud/automl/v1/text_extraction.proto

 package automl

 import (
 	fmt "fmt"
 	math "math"

 	proto "github.com/golang/protobuf/proto"
 	_ "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.ProtoPackageIsVersion3 // please upgrade the proto package

 // Annotation for identifying spans of text.
 type TextExtractionAnnotation struct {
 	// Required. Text extraction annotations can either be a text segment or a
 	// text relation.
 	//
 	// Types that are valid to be assigned to Annotation:
 	//	*TextExtractionAnnotation_TextSegment
 	Annotation isTextExtractionAnnotation_Annotation `protobuf_oneof:"annotation"`
 	// Output only. A confidence estimate between 0.0 and 1.0. A higher value
 	// means greater confidence in correctness of the annotation.
 	Score                float32  `protobuf:"fixed32,1,opt,name=score,proto3" json:"score,omitempty"`
 	XXX_NoUnkeyedLiteral struct{} `json:"-"`
 	XXX_unrecognized     []byte   `json:"-"`
 	XXX_sizecache        int32    `json:"-"`
 }

 func (m *TextExtractionAnnotation) Reset()         { *m = TextExtractionAnnotation{} }
 func (m *TextExtractionAnnotation) String() string { return proto.CompactTextString(m) }
 func (*TextExtractionAnnotation) ProtoMessage()    {}
 func (*TextExtractionAnnotation) Descriptor() ([]byte, []int) {
 	return fileDescriptor_d9a1af098e3392dc, []int{0}
 }

 func (m *TextExtractionAnnotation) XXX_Unmarshal(b []byte) error {
 	return xxx_messageInfo_TextExtractionAnnotation.Unmarshal(m, b)
 }
 func (m *TextExtractionAnnotation) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
 	return xxx_messageInfo_TextExtractionAnnotation.Marshal(b, m, deterministic)
 }
 func (m *TextExtractionAnnotation) XXX_Merge(src proto.Message) {
 	xxx_messageInfo_TextExtractionAnnotation.Merge(m, src)
 }
 func (m *TextExtractionAnnotation) XXX_Size() int {
 	return xxx_messageInfo_TextExtractionAnnotation.Size(m)
 }
 func (m *TextExtractionAnnotation) XXX_DiscardUnknown() {
 	xxx_messageInfo_TextExtractionAnnotation.DiscardUnknown(m)
 }

 var xxx_messageInfo_TextExtractionAnnotation proto.InternalMessageInfo

 type isTextExtractionAnnotation_Annotation interface {
 	isTextExtractionAnnotation_Annotation()
 }

 type TextExtractionAnnotation_TextSegment struct {
 	TextSegment *TextSegment `protobuf:"bytes,3,opt,name=text_segment,json=textSegment,proto3,oneof"`
 }

 func (*TextExtractionAnnotation_TextSegment) isTextExtractionAnnotation_Annotation() {}

 func (m *TextExtractionAnnotation) GetAnnotation() isTextExtractionAnnotation_Annotation {
 	if m != nil {
 		return m.Annotation
 	}
 	return nil
 }

 func (m *TextExtractionAnnotation) GetTextSegment() *TextSegment {
 	if x, ok := m.GetAnnotation().(*TextExtractionAnnotation_TextSegment); ok {
 		return x.TextSegment
 	}
 	return nil
 }

 func (m *TextExtractionAnnotation) GetScore() float32 {
 	if m != nil {
 		return m.Score
 	}
 	return 0
 }

 // XXX_OneofWrappers is for the internal use of the proto package.
 func (*TextExtractionAnnotation) XXX_OneofWrappers() []interface{} {
 	return []interface{}{
 		(*TextExtractionAnnotation_TextSegment)(nil),
 	}
 }

 // Model evaluation metrics for text extraction problems.
 type TextExtractionEvaluationMetrics struct {
 	// Output only. The Area under precision recall curve metric.
 	AuPrc float32 `protobuf:"fixed32,1,opt,name=au_prc,json=auPrc,proto3" json:"au_prc,omitempty"`
 	// Output only. Metrics that have confidence thresholds.
 	// Precision-recall curve can be derived from it.
 	ConfidenceMetricsEntries []*TextExtractionEvaluationMetrics_ConfidenceMetricsEntry `protobuf:"bytes,2,rep,name=confidence_metrics_entries,json=confidenceMetricsEntries,proto3" json:"confidence_metrics_entries,omitempty"`
 	XXX_NoUnkeyedLiteral     struct{}                                                  `json:"-"`
 	XXX_unrecognized         []byte                                                    `json:"-"`
 	XXX_sizecache            int32                                                     `json:"-"`
 }

 func (m *TextExtractionEvaluationMetrics) Reset()         { *m = TextExtractionEvaluationMetrics{} }
 func (m *TextExtractionEvaluationMetrics) String() string { return proto.CompactTextString(m) }
 func (*TextExtractionEvaluationMetrics) ProtoMessage()    {}
 func (*TextExtractionEvaluationMetrics) Descriptor() ([]byte, []int) {
 	return fileDescriptor_d9a1af098e3392dc, []int{1}
 }

 func (m *TextExtractionEvaluationMetrics) XXX_Unmarshal(b []byte) error {
 	return xxx_messageInfo_TextExtractionEvaluationMetrics.Unmarshal(m, b)
 }
 func (m *TextExtractionEvaluationMetrics) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
 	return xxx_messageInfo_TextExtractionEvaluationMetrics.Marshal(b, m, deterministic)
 }
 func (m *TextExtractionEvaluationMetrics) XXX_Merge(src proto.Message) {
 	xxx_messageInfo_TextExtractionEvaluationMetrics.Merge(m, src)
 }
 func (m *TextExtractionEvaluationMetrics) XXX_Size() int {
 	return xxx_messageInfo_TextExtractionEvaluationMetrics.Size(m)
 }
 func (m *TextExtractionEvaluationMetrics) XXX_DiscardUnknown() {
 	xxx_messageInfo_TextExtractionEvaluationMetrics.DiscardUnknown(m)
 }

 var xxx_messageInfo_TextExtractionEvaluationMetrics proto.InternalMessageInfo

 func (m *TextExtractionEvaluationMetrics) GetAuPrc() float32 {
 	if m != nil {
 		return m.AuPrc
 	}
 	return 0
 }

 func (m *TextExtractionEvaluationMetrics) GetConfidenceMetricsEntries() []*TextExtractionEvaluationMetrics_ConfidenceMetricsEntry {
 	if m != nil {
 		return m.ConfidenceMetricsEntries
 	}
 	return nil
 }

 // Metrics for a single confidence threshold.
 type TextExtractionEvaluationMetrics_ConfidenceMetricsEntry struct {
 	// Output only. The confidence threshold value used to compute the metrics.
 	// Only annotations with score of at least this threshold are considered to
 	// be ones the model would return.
 	ConfidenceThreshold float32 `protobuf:"fixed32,1,opt,name=confidence_threshold,json=confidenceThreshold,proto3" json:"confidence_threshold,omitempty"`
 	// Output only. Recall under the given confidence threshold.
 	Recall float32 `protobuf:"fixed32,3,opt,name=recall,proto3" json:"recall,omitempty"`
 	// Output only. Precision under the given confidence threshold.
 	Precision float32 `protobuf:"fixed32,4,opt,name=precision,proto3" json:"precision,omitempty"`
 	// Output only. The harmonic mean of recall and precision.
 	F1Score              float32  `protobuf:"fixed32,5,opt,name=f1_score,json=f1Score,proto3" json:"f1_score,omitempty"`
 	XXX_NoUnkeyedLiteral struct{} `json:"-"`
 	XXX_unrecognized     []byte   `json:"-"`
 	XXX_sizecache        int32    `json:"-"`
 }

 func (m *TextExtractionEvaluationMetrics_ConfidenceMetricsEntry) Reset() {
 	*m = TextExtractionEvaluationMetrics_ConfidenceMetricsEntry{}
 }
 func (m *TextExtractionEvaluationMetrics_ConfidenceMetricsEntry) String() string {
 	return proto.CompactTextString(m)
 }
 func (*TextExtractionEvaluationMetrics_ConfidenceMetricsEntry) ProtoMessage() {}
 func (*TextExtractionEvaluationMetrics_ConfidenceMetricsEntry) Descriptor() ([]byte, []int) {
 	return fileDescriptor_d9a1af098e3392dc, []int{1, 0}
 }

 func (m *TextExtractionEvaluationMetrics_ConfidenceMetricsEntry) XXX_Unmarshal(b []byte) error {
 	return xxx_messageInfo_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry.Unmarshal(m, b)
 }
 func (m *TextExtractionEvaluationMetrics_ConfidenceMetricsEntry) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
 	return xxx_messageInfo_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry.Marshal(b, m, deterministic)
 }
 func (m *TextExtractionEvaluationMetrics_ConfidenceMetricsEntry) XXX_Merge(src proto.Message) {
 	xxx_messageInfo_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry.Merge(m, src)
 }
 func (m *TextExtractionEvaluationMetrics_ConfidenceMetricsEntry) XXX_Size() int {
 	return xxx_messageInfo_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry.Size(m)
 }
 func (m *TextExtractionEvaluationMetrics_ConfidenceMetricsEntry) XXX_DiscardUnknown() {
 	xxx_messageInfo_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry.DiscardUnknown(m)
 }

 var xxx_messageInfo_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry proto.InternalMessageInfo

 func (m *TextExtractionEvaluationMetrics_ConfidenceMetricsEntry) GetConfidenceThreshold() float32 {
 	if m != nil {
 		return m.ConfidenceThreshold
 	}
 	return 0
 }

 func (m *TextExtractionEvaluationMetrics_ConfidenceMetricsEntry) GetRecall() float32 {
 	if m != nil {
 		return m.Recall
 	}
 	return 0
 }

 func (m *TextExtractionEvaluationMetrics_ConfidenceMetricsEntry) GetPrecision() float32 {
 	if m != nil {
 		return m.Precision
 	}
 	return 0
 }

 func (m *TextExtractionEvaluationMetrics_ConfidenceMetricsEntry) GetF1Score() float32 {
 	if m != nil {
 		return m.F1Score
 	}
 	return 0
 }

 func init() {
 	proto.RegisterType((*TextExtractionAnnotation)(nil), "google.cloud.automl.v1.TextExtractionAnnotation")
 	proto.RegisterType((*TextExtractionEvaluationMetrics)(nil), "google.cloud.automl.v1.TextExtractionEvaluationMetrics")
 	proto.RegisterType((*TextExtractionEvaluationMetrics_ConfidenceMetricsEntry)(nil), "google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry")
 }

 func init() {
 	proto.RegisterFile("google/cloud/automl/v1/text_extraction.proto", fileDescriptor_d9a1af098e3392dc)
 }

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 }
	// Code generated by protoc-gen-go. DO NOT EDIT.
	// source: google/cloud/automl/v1/text_extraction.proto

	package automl

	import (
	fmt "fmt"
	math "math"

	proto "github.com/golang/protobuf/proto"
	_ "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.ProtoPackageIsVersion3 // please upgrade the proto package

	// Annotation for identifying spans of text.
	type TextExtractionAnnotation struct {
	// Required. Text extraction annotations can either be a text segment or a
	// text relation.
	//
	// Types that are valid to be assigned to Annotation:
	// *TextExtractionAnnotation_TextSegment
	Annotation isTextExtractionAnnotation_Annotation `protobuf_oneof:"annotation"`
	// Output only. A confidence estimate between 0.0 and 1.0. A higher value
	// means greater confidence in correctness of the annotation.
	Score float32 `protobuf:"fixed32,1,opt,name=score,proto3" json:"score,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized []byte `json:"-"`
	XXX_sizecache int32 `json:"-"`
	}

	func (m TextExtractionAnnotation) Reset() { m = TextExtractionAnnotation{} }
	func (m *TextExtractionAnnotation) String() string { return proto.CompactTextString(m) }
	func (*TextExtractionAnnotation) ProtoMessage() {}
	func (*TextExtractionAnnotation) Descriptor() ([]byte, []int) {
	return fileDescriptor_d9a1af098e3392dc, []int{0}
	}

	func (m *TextExtractionAnnotation) XXX_Unmarshal(b []byte) error {
	return xxx_messageInfo_TextExtractionAnnotation.Unmarshal(m, b)
	}
	func (m *TextExtractionAnnotation) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
	return xxx_messageInfo_TextExtractionAnnotation.Marshal(b, m, deterministic)
	}
	func (m *TextExtractionAnnotation) XXX_Merge(src proto.Message) {
	xxx_messageInfo_TextExtractionAnnotation.Merge(m, src)
	}
	func (m *TextExtractionAnnotation) XXX_Size() int {
	return xxx_messageInfo_TextExtractionAnnotation.Size(m)
	}
	func (m *TextExtractionAnnotation) XXX_DiscardUnknown() {
	xxx_messageInfo_TextExtractionAnnotation.DiscardUnknown(m)
	}

	var xxx_messageInfo_TextExtractionAnnotation proto.InternalMessageInfo

	type isTextExtractionAnnotation_Annotation interface {
	isTextExtractionAnnotation_Annotation()
	}

	type TextExtractionAnnotation_TextSegment struct {
	TextSegment *TextSegment `protobuf:"bytes,3,opt,name=text_segment,json=textSegment,proto3,oneof"`
	}

	func (*TextExtractionAnnotation_TextSegment) isTextExtractionAnnotation_Annotation() {}

	func (m *TextExtractionAnnotation) GetAnnotation() isTextExtractionAnnotation_Annotation {
	if m != nil {
	return m.Annotation
	}
	return nil
	}

	func (m TextExtractionAnnotation) GetTextSegment() TextSegment {
	if x, ok := m.GetAnnotation().(*TextExtractionAnnotation_TextSegment); ok {
	return x.TextSegment
	}
	return nil
	}

	func (m *TextExtractionAnnotation) GetScore() float32 {
	if m != nil {
	return m.Score
	}
	return 0
	}

	// XXX_OneofWrappers is for the internal use of the proto package.
	func (*TextExtractionAnnotation) XXX_OneofWrappers() []interface{} {
	return []interface{}{
	(*TextExtractionAnnotation_TextSegment)(nil),
	}
	}

	// Model evaluation metrics for text extraction problems.
	type TextExtractionEvaluationMetrics struct {
	// Output only. The Area under precision recall curve metric.
	AuPrc float32 `protobuf:"fixed32,1,opt,name=au_prc,json=auPrc,proto3" json:"au_prc,omitempty"`
	// Output only. Metrics that have confidence thresholds.
	// Precision-recall curve can be derived from it.
	ConfidenceMetricsEntries []*TextExtractionEvaluationMetrics_ConfidenceMetricsEntry `protobuf:"bytes,2,rep,name=confidence_metrics_entries,json=confidenceMetricsEntries,proto3" json:"confidence_metrics_entries,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized []byte `json:"-"`
	XXX_sizecache int32 `json:"-"`
	}

	func (m TextExtractionEvaluationMetrics) Reset() { m = TextExtractionEvaluationMetrics{} }
	func (m *TextExtractionEvaluationMetrics) String() string { return proto.CompactTextString(m) }
	func (*TextExtractionEvaluationMetrics) ProtoMessage() {}
	func (*TextExtractionEvaluationMetrics) Descriptor() ([]byte, []int) {
	return fileDescriptor_d9a1af098e3392dc, []int{1}
	}

	func (m *TextExtractionEvaluationMetrics) XXX_Unmarshal(b []byte) error {
	return xxx_messageInfo_TextExtractionEvaluationMetrics.Unmarshal(m, b)
	}
	func (m *TextExtractionEvaluationMetrics) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
	return xxx_messageInfo_TextExtractionEvaluationMetrics.Marshal(b, m, deterministic)
	}
	func (m *TextExtractionEvaluationMetrics) XXX_Merge(src proto.Message) {
	xxx_messageInfo_TextExtractionEvaluationMetrics.Merge(m, src)
	}
	func (m *TextExtractionEvaluationMetrics) XXX_Size() int {
	return xxx_messageInfo_TextExtractionEvaluationMetrics.Size(m)
	}
	func (m *TextExtractionEvaluationMetrics) XXX_DiscardUnknown() {
	xxx_messageInfo_TextExtractionEvaluationMetrics.DiscardUnknown(m)
	}

	var xxx_messageInfo_TextExtractionEvaluationMetrics proto.InternalMessageInfo

	func (m *TextExtractionEvaluationMetrics) GetAuPrc() float32 {
	if m != nil {
	return m.AuPrc
	}
	return 0
	}

	func (m TextExtractionEvaluationMetrics) GetConfidenceMetricsEntries() []TextExtractionEvaluationMetrics_ConfidenceMetricsEntry {
	if m != nil {
	return m.ConfidenceMetricsEntries
	}
	return nil
	}

	// Metrics for a single confidence threshold.
	type TextExtractionEvaluationMetrics_ConfidenceMetricsEntry struct {
	// Output only. The confidence threshold value used to compute the metrics.
	// Only annotations with score of at least this threshold are considered to
	// be ones the model would return.
	ConfidenceThreshold float32 `protobuf:"fixed32,1,opt,name=confidence_threshold,json=confidenceThreshold,proto3" json:"confidence_threshold,omitempty"`
	// Output only. Recall under the given confidence threshold.
	Recall float32 `protobuf:"fixed32,3,opt,name=recall,proto3" json:"recall,omitempty"`
	// Output only. Precision under the given confidence threshold.
	Precision float32 `protobuf:"fixed32,4,opt,name=precision,proto3" json:"precision,omitempty"`
	// Output only. The harmonic mean of recall and precision.
	F1Score float32 `protobuf:"fixed32,5,opt,name=f1_score,json=f1Score,proto3" json:"f1_score,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized []byte `json:"-"`
	XXX_sizecache int32 `json:"-"`
	}

	func (m *TextExtractionEvaluationMetrics_ConfidenceMetricsEntry) Reset() {
	*m = TextExtractionEvaluationMetrics_ConfidenceMetricsEntry{}
	}
	func (m *TextExtractionEvaluationMetrics_ConfidenceMetricsEntry) String() string {
	return proto.CompactTextString(m)
	}
	func (*TextExtractionEvaluationMetrics_ConfidenceMetricsEntry) ProtoMessage() {}
	func (*TextExtractionEvaluationMetrics_ConfidenceMetricsEntry) Descriptor() ([]byte, []int) {
	return fileDescriptor_d9a1af098e3392dc, []int{1, 0}
	}

	func (m *TextExtractionEvaluationMetrics_ConfidenceMetricsEntry) XXX_Unmarshal(b []byte) error {
	return xxx_messageInfo_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry.Unmarshal(m, b)
	}
	func (m *TextExtractionEvaluationMetrics_ConfidenceMetricsEntry) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
	return xxx_messageInfo_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry.Marshal(b, m, deterministic)
	}
	func (m *TextExtractionEvaluationMetrics_ConfidenceMetricsEntry) XXX_Merge(src proto.Message) {
	xxx_messageInfo_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry.Merge(m, src)
	}
	func (m *TextExtractionEvaluationMetrics_ConfidenceMetricsEntry) XXX_Size() int {
	return xxx_messageInfo_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry.Size(m)
	}
	func (m *TextExtractionEvaluationMetrics_ConfidenceMetricsEntry) XXX_DiscardUnknown() {
	xxx_messageInfo_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry.DiscardUnknown(m)
	}

	var xxx_messageInfo_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry proto.InternalMessageInfo

	func (m *TextExtractionEvaluationMetrics_ConfidenceMetricsEntry) GetConfidenceThreshold() float32 {
	if m != nil {
	return m.ConfidenceThreshold
	}
	return 0
	}

	func (m *TextExtractionEvaluationMetrics_ConfidenceMetricsEntry) GetRecall() float32 {
	if m != nil {
	return m.Recall
	}
	return 0
	}

	func (m *TextExtractionEvaluationMetrics_ConfidenceMetricsEntry) GetPrecision() float32 {
	if m != nil {
	return m.Precision
	}
	return 0
	}

	func (m *TextExtractionEvaluationMetrics_ConfidenceMetricsEntry) GetF1Score() float32 {
	if m != nil {
	return m.F1Score
	}
	return 0
	}

	func init() {
	proto.RegisterType((*TextExtractionAnnotation)(nil), "google.cloud.automl.v1.TextExtractionAnnotation")
	proto.RegisterType((*TextExtractionEvaluationMetrics)(nil), "google.cloud.automl.v1.TextExtractionEvaluationMetrics")
	proto.RegisterType((*TextExtractionEvaluationMetrics_ConfidenceMetricsEntry)(nil), "google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry")
	}

	func init() {
	proto.RegisterFile("google/cloud/automl/v1/text_extraction.proto", fileDescriptor_d9a1af098e3392dc)
	}

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