| // Code generated by protoc-gen-go. DO NOT EDIT. |
| // source: google/cloud/automl/v1/model.proto |
| |
| package automl |
| |
| import ( |
| fmt "fmt" |
| math "math" |
| |
| proto "github.com/golang/protobuf/proto" |
| timestamp "github.com/golang/protobuf/ptypes/timestamp" |
| _ "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 |
| |
| // Deployment state of the model. |
| type Model_DeploymentState int32 |
| |
| const ( |
| // Should not be used, an un-set enum has this value by default. |
| Model_DEPLOYMENT_STATE_UNSPECIFIED Model_DeploymentState = 0 |
| // Model is deployed. |
| Model_DEPLOYED Model_DeploymentState = 1 |
| // Model is not deployed. |
| Model_UNDEPLOYED Model_DeploymentState = 2 |
| ) |
| |
| var Model_DeploymentState_name = map[int32]string{ |
| 0: "DEPLOYMENT_STATE_UNSPECIFIED", |
| 1: "DEPLOYED", |
| 2: "UNDEPLOYED", |
| } |
| |
| var Model_DeploymentState_value = map[string]int32{ |
| "DEPLOYMENT_STATE_UNSPECIFIED": 0, |
| "DEPLOYED": 1, |
| "UNDEPLOYED": 2, |
| } |
| |
| func (x Model_DeploymentState) String() string { |
| return proto.EnumName(Model_DeploymentState_name, int32(x)) |
| } |
| |
| func (Model_DeploymentState) EnumDescriptor() ([]byte, []int) { |
| return fileDescriptor_452845e4ed6fce9d, []int{0, 0} |
| } |
| |
| // API proto representing a trained machine learning model. |
| type Model struct { |
| // Required. |
| // The model metadata that is specific to the problem type. |
| // Must match the metadata type of the dataset used to train the model. |
| // |
| // Types that are valid to be assigned to ModelMetadata: |
| // *Model_TranslationModelMetadata |
| // *Model_ImageClassificationModelMetadata |
| // *Model_TextClassificationModelMetadata |
| // *Model_ImageObjectDetectionModelMetadata |
| // *Model_TextExtractionModelMetadata |
| // *Model_TextSentimentModelMetadata |
| ModelMetadata isModel_ModelMetadata `protobuf_oneof:"model_metadata"` |
| // Output only. Resource name of the model. |
| // Format: `projects/{project_id}/locations/{location_id}/models/{model_id}` |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| // Required. The name of the model to show in the interface. The name can be |
| // up to 32 characters long and can consist only of ASCII Latin letters A-Z |
| // and a-z, underscores |
| // (_), and ASCII digits 0-9. It must start with a letter. |
| DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"` |
| // Required. The resource ID of the dataset used to create the model. The dataset must |
| // come from the same ancestor project and location. |
| DatasetId string `protobuf:"bytes,3,opt,name=dataset_id,json=datasetId,proto3" json:"dataset_id,omitempty"` |
| // Output only. Timestamp when the model training finished and can be used for prediction. |
| CreateTime *timestamp.Timestamp `protobuf:"bytes,7,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"` |
| // Output only. Timestamp when this model was last updated. |
| UpdateTime *timestamp.Timestamp `protobuf:"bytes,11,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"` |
| // Output only. Deployment state of the model. A model can only serve |
| // prediction requests after it gets deployed. |
| DeploymentState Model_DeploymentState `protobuf:"varint,8,opt,name=deployment_state,json=deploymentState,proto3,enum=google.cloud.automl.v1.Model_DeploymentState" json:"deployment_state,omitempty"` |
| // Used to perform a consistent read-modify-write updates. If not set, a blind |
| // "overwrite" update happens. |
| Etag string `protobuf:"bytes,10,opt,name=etag,proto3" json:"etag,omitempty"` |
| // Optional. The labels with user-defined metadata to organize your model. |
| // |
| // Label keys and values can be no longer than 64 characters |
| // (Unicode codepoints), can only contain lowercase letters, numeric |
| // characters, underscores and dashes. International characters are allowed. |
| // Label values are optional. Label keys must start with a letter. |
| // |
| // See https://goo.gl/xmQnxf for more information on and examples of labels. |
| Labels map[string]string `protobuf:"bytes,34,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"` |
| XXX_NoUnkeyedLiteral struct{} `json:"-"` |
| XXX_unrecognized []byte `json:"-"` |
| XXX_sizecache int32 `json:"-"` |
| } |
| |
| func (m *Model) Reset() { *m = Model{} } |
| func (m *Model) String() string { return proto.CompactTextString(m) } |
| func (*Model) ProtoMessage() {} |
| func (*Model) Descriptor() ([]byte, []int) { |
| return fileDescriptor_452845e4ed6fce9d, []int{0} |
| } |
| |
| func (m *Model) XXX_Unmarshal(b []byte) error { |
| return xxx_messageInfo_Model.Unmarshal(m, b) |
| } |
| func (m *Model) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) { |
| return xxx_messageInfo_Model.Marshal(b, m, deterministic) |
| } |
| func (m *Model) XXX_Merge(src proto.Message) { |
| xxx_messageInfo_Model.Merge(m, src) |
| } |
| func (m *Model) XXX_Size() int { |
| return xxx_messageInfo_Model.Size(m) |
| } |
| func (m *Model) XXX_DiscardUnknown() { |
| xxx_messageInfo_Model.DiscardUnknown(m) |
| } |
| |
| var xxx_messageInfo_Model proto.InternalMessageInfo |
| |
| type isModel_ModelMetadata interface { |
| isModel_ModelMetadata() |
| } |
| |
| type Model_TranslationModelMetadata struct { |
| TranslationModelMetadata *TranslationModelMetadata `protobuf:"bytes,15,opt,name=translation_model_metadata,json=translationModelMetadata,proto3,oneof"` |
| } |
| |
| type Model_ImageClassificationModelMetadata struct { |
| ImageClassificationModelMetadata *ImageClassificationModelMetadata `protobuf:"bytes,13,opt,name=image_classification_model_metadata,json=imageClassificationModelMetadata,proto3,oneof"` |
| } |
| |
| type Model_TextClassificationModelMetadata struct { |
| TextClassificationModelMetadata *TextClassificationModelMetadata `protobuf:"bytes,14,opt,name=text_classification_model_metadata,json=textClassificationModelMetadata,proto3,oneof"` |
| } |
| |
| type Model_ImageObjectDetectionModelMetadata struct { |
| ImageObjectDetectionModelMetadata *ImageObjectDetectionModelMetadata `protobuf:"bytes,20,opt,name=image_object_detection_model_metadata,json=imageObjectDetectionModelMetadata,proto3,oneof"` |
| } |
| |
| type Model_TextExtractionModelMetadata struct { |
| TextExtractionModelMetadata *TextExtractionModelMetadata `protobuf:"bytes,19,opt,name=text_extraction_model_metadata,json=textExtractionModelMetadata,proto3,oneof"` |
| } |
| |
| type Model_TextSentimentModelMetadata struct { |
| TextSentimentModelMetadata *TextSentimentModelMetadata `protobuf:"bytes,22,opt,name=text_sentiment_model_metadata,json=textSentimentModelMetadata,proto3,oneof"` |
| } |
| |
| func (*Model_TranslationModelMetadata) isModel_ModelMetadata() {} |
| |
| func (*Model_ImageClassificationModelMetadata) isModel_ModelMetadata() {} |
| |
| func (*Model_TextClassificationModelMetadata) isModel_ModelMetadata() {} |
| |
| func (*Model_ImageObjectDetectionModelMetadata) isModel_ModelMetadata() {} |
| |
| func (*Model_TextExtractionModelMetadata) isModel_ModelMetadata() {} |
| |
| func (*Model_TextSentimentModelMetadata) isModel_ModelMetadata() {} |
| |
| func (m *Model) GetModelMetadata() isModel_ModelMetadata { |
| if m != nil { |
| return m.ModelMetadata |
| } |
| return nil |
| } |
| |
| func (m *Model) GetTranslationModelMetadata() *TranslationModelMetadata { |
| if x, ok := m.GetModelMetadata().(*Model_TranslationModelMetadata); ok { |
| return x.TranslationModelMetadata |
| } |
| return nil |
| } |
| |
| func (m *Model) GetImageClassificationModelMetadata() *ImageClassificationModelMetadata { |
| if x, ok := m.GetModelMetadata().(*Model_ImageClassificationModelMetadata); ok { |
| return x.ImageClassificationModelMetadata |
| } |
| return nil |
| } |
| |
| func (m *Model) GetTextClassificationModelMetadata() *TextClassificationModelMetadata { |
| if x, ok := m.GetModelMetadata().(*Model_TextClassificationModelMetadata); ok { |
| return x.TextClassificationModelMetadata |
| } |
| return nil |
| } |
| |
| func (m *Model) GetImageObjectDetectionModelMetadata() *ImageObjectDetectionModelMetadata { |
| if x, ok := m.GetModelMetadata().(*Model_ImageObjectDetectionModelMetadata); ok { |
| return x.ImageObjectDetectionModelMetadata |
| } |
| return nil |
| } |
| |
| func (m *Model) GetTextExtractionModelMetadata() *TextExtractionModelMetadata { |
| if x, ok := m.GetModelMetadata().(*Model_TextExtractionModelMetadata); ok { |
| return x.TextExtractionModelMetadata |
| } |
| return nil |
| } |
| |
| func (m *Model) GetTextSentimentModelMetadata() *TextSentimentModelMetadata { |
| if x, ok := m.GetModelMetadata().(*Model_TextSentimentModelMetadata); ok { |
| return x.TextSentimentModelMetadata |
| } |
| return nil |
| } |
| |
| func (m *Model) GetName() string { |
| if m != nil { |
| return m.Name |
| } |
| return "" |
| } |
| |
| func (m *Model) GetDisplayName() string { |
| if m != nil { |
| return m.DisplayName |
| } |
| return "" |
| } |
| |
| func (m *Model) GetDatasetId() string { |
| if m != nil { |
| return m.DatasetId |
| } |
| return "" |
| } |
| |
| func (m *Model) GetCreateTime() *timestamp.Timestamp { |
| if m != nil { |
| return m.CreateTime |
| } |
| return nil |
| } |
| |
| func (m *Model) GetUpdateTime() *timestamp.Timestamp { |
| if m != nil { |
| return m.UpdateTime |
| } |
| return nil |
| } |
| |
| func (m *Model) GetDeploymentState() Model_DeploymentState { |
| if m != nil { |
| return m.DeploymentState |
| } |
| return Model_DEPLOYMENT_STATE_UNSPECIFIED |
| } |
| |
| func (m *Model) GetEtag() string { |
| if m != nil { |
| return m.Etag |
| } |
| return "" |
| } |
| |
| func (m *Model) GetLabels() map[string]string { |
| if m != nil { |
| return m.Labels |
| } |
| return nil |
| } |
| |
| // XXX_OneofWrappers is for the internal use of the proto package. |
| func (*Model) XXX_OneofWrappers() []interface{} { |
| return []interface{}{ |
| (*Model_TranslationModelMetadata)(nil), |
| (*Model_ImageClassificationModelMetadata)(nil), |
| (*Model_TextClassificationModelMetadata)(nil), |
| (*Model_ImageObjectDetectionModelMetadata)(nil), |
| (*Model_TextExtractionModelMetadata)(nil), |
| (*Model_TextSentimentModelMetadata)(nil), |
| } |
| } |
| |
| func init() { |
| proto.RegisterEnum("google.cloud.automl.v1.Model_DeploymentState", Model_DeploymentState_name, Model_DeploymentState_value) |
| proto.RegisterType((*Model)(nil), "google.cloud.automl.v1.Model") |
| proto.RegisterMapType((map[string]string)(nil), "google.cloud.automl.v1.Model.LabelsEntry") |
| } |
| |
| func init() { |
| proto.RegisterFile("google/cloud/automl/v1/model.proto", fileDescriptor_452845e4ed6fce9d) |
| } |
| |
| var fileDescriptor_452845e4ed6fce9d = []byte{ |
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