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- // Code generated by protoc-gen-go. DO NOT EDIT.
- // source: google/cloud/automl/v1beta1/image.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 _ "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
-
- // Dataset metadata that is specific to image classification.
- type ImageClassificationDatasetMetadata struct {
- // Required.
- // Type of the classification problem.
- ClassificationType ClassificationType `protobuf:"varint,1,opt,name=classification_type,json=classificationType,proto3,enum=google.cloud.automl.v1beta1.ClassificationType" json:"classification_type,omitempty"`
- XXX_NoUnkeyedLiteral struct{} `json:"-"`
- XXX_unrecognized []byte `json:"-"`
- XXX_sizecache int32 `json:"-"`
- }
-
- func (m *ImageClassificationDatasetMetadata) Reset() { *m = ImageClassificationDatasetMetadata{} }
- func (m *ImageClassificationDatasetMetadata) String() string { return proto.CompactTextString(m) }
- func (*ImageClassificationDatasetMetadata) ProtoMessage() {}
- func (*ImageClassificationDatasetMetadata) Descriptor() ([]byte, []int) {
- return fileDescriptor_image_1a3570ecfb03fa9e, []int{0}
- }
- func (m *ImageClassificationDatasetMetadata) XXX_Unmarshal(b []byte) error {
- return xxx_messageInfo_ImageClassificationDatasetMetadata.Unmarshal(m, b)
- }
- func (m *ImageClassificationDatasetMetadata) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
- return xxx_messageInfo_ImageClassificationDatasetMetadata.Marshal(b, m, deterministic)
- }
- func (dst *ImageClassificationDatasetMetadata) XXX_Merge(src proto.Message) {
- xxx_messageInfo_ImageClassificationDatasetMetadata.Merge(dst, src)
- }
- func (m *ImageClassificationDatasetMetadata) XXX_Size() int {
- return xxx_messageInfo_ImageClassificationDatasetMetadata.Size(m)
- }
- func (m *ImageClassificationDatasetMetadata) XXX_DiscardUnknown() {
- xxx_messageInfo_ImageClassificationDatasetMetadata.DiscardUnknown(m)
- }
-
- var xxx_messageInfo_ImageClassificationDatasetMetadata proto.InternalMessageInfo
-
- func (m *ImageClassificationDatasetMetadata) GetClassificationType() ClassificationType {
- if m != nil {
- return m.ClassificationType
- }
- return ClassificationType_CLASSIFICATION_TYPE_UNSPECIFIED
- }
-
- // Model metadata for image classification.
- type ImageClassificationModelMetadata struct {
- // Optional. The ID of the `base` model. If it is specified, the new model
- // will be created based on the `base` model. Otherwise, the new model will be
- // created from scratch. The `base` model is expected to be in the same
- // `project` and `location` as the new model to create.
- BaseModelId string `protobuf:"bytes,1,opt,name=base_model_id,json=baseModelId,proto3" json:"base_model_id,omitempty"`
- // Required. The train budget of creating this model. The actual
- // `train_cost` will be equal or less than this value.
- TrainBudget int64 `protobuf:"varint,2,opt,name=train_budget,json=trainBudget,proto3" json:"train_budget,omitempty"`
- // Output only. The actual train cost of creating this model. If this
- // model is created from a `base` model, the train cost used to create the
- // `base` model are not included.
- TrainCost int64 `protobuf:"varint,3,opt,name=train_cost,json=trainCost,proto3" json:"train_cost,omitempty"`
- // Output only. The reason that this create model operation stopped,
- // e.g. BUDGET_REACHED, CONVERGED.
- StopReason string `protobuf:"bytes,5,opt,name=stop_reason,json=stopReason,proto3" json:"stop_reason,omitempty"`
- XXX_NoUnkeyedLiteral struct{} `json:"-"`
- XXX_unrecognized []byte `json:"-"`
- XXX_sizecache int32 `json:"-"`
- }
-
- func (m *ImageClassificationModelMetadata) Reset() { *m = ImageClassificationModelMetadata{} }
- func (m *ImageClassificationModelMetadata) String() string { return proto.CompactTextString(m) }
- func (*ImageClassificationModelMetadata) ProtoMessage() {}
- func (*ImageClassificationModelMetadata) Descriptor() ([]byte, []int) {
- return fileDescriptor_image_1a3570ecfb03fa9e, []int{1}
- }
- func (m *ImageClassificationModelMetadata) XXX_Unmarshal(b []byte) error {
- return xxx_messageInfo_ImageClassificationModelMetadata.Unmarshal(m, b)
- }
- func (m *ImageClassificationModelMetadata) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
- return xxx_messageInfo_ImageClassificationModelMetadata.Marshal(b, m, deterministic)
- }
- func (dst *ImageClassificationModelMetadata) XXX_Merge(src proto.Message) {
- xxx_messageInfo_ImageClassificationModelMetadata.Merge(dst, src)
- }
- func (m *ImageClassificationModelMetadata) XXX_Size() int {
- return xxx_messageInfo_ImageClassificationModelMetadata.Size(m)
- }
- func (m *ImageClassificationModelMetadata) XXX_DiscardUnknown() {
- xxx_messageInfo_ImageClassificationModelMetadata.DiscardUnknown(m)
- }
-
- var xxx_messageInfo_ImageClassificationModelMetadata proto.InternalMessageInfo
-
- func (m *ImageClassificationModelMetadata) GetBaseModelId() string {
- if m != nil {
- return m.BaseModelId
- }
- return ""
- }
-
- func (m *ImageClassificationModelMetadata) GetTrainBudget() int64 {
- if m != nil {
- return m.TrainBudget
- }
- return 0
- }
-
- func (m *ImageClassificationModelMetadata) GetTrainCost() int64 {
- if m != nil {
- return m.TrainCost
- }
- return 0
- }
-
- func (m *ImageClassificationModelMetadata) GetStopReason() string {
- if m != nil {
- return m.StopReason
- }
- return ""
- }
-
- func init() {
- proto.RegisterType((*ImageClassificationDatasetMetadata)(nil), "google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata")
- proto.RegisterType((*ImageClassificationModelMetadata)(nil), "google.cloud.automl.v1beta1.ImageClassificationModelMetadata")
- }
-
- func init() {
- proto.RegisterFile("google/cloud/automl/v1beta1/image.proto", fileDescriptor_image_1a3570ecfb03fa9e)
- }
-
- var fileDescriptor_image_1a3570ecfb03fa9e = []byte{
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