| // Code generated by protoc-gen-go. DO NOT EDIT. |
| // source: google/cloud/automl/v1/service.proto |
| |
| package automl |
| |
| import ( |
| context "context" |
| fmt "fmt" |
| math "math" |
| |
| proto "github.com/golang/protobuf/proto" |
| _ "google.golang.org/genproto/googleapis/api/annotations" |
| longrunning "google.golang.org/genproto/googleapis/longrunning" |
| field_mask "google.golang.org/genproto/protobuf/field_mask" |
| grpc "google.golang.org/grpc" |
| codes "google.golang.org/grpc/codes" |
| status "google.golang.org/grpc/status" |
| ) |
| |
| // 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 |
| |
| // Request message for |
| // [AutoMl.CreateDataset][google.cloud.automl.v1.AutoMl.CreateDataset]. |
| type CreateDatasetRequest struct { |
| // The resource name of the project to create the dataset for. |
| Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"` |
| // The dataset to create. |
| Dataset *Dataset `protobuf:"bytes,2,opt,name=dataset,proto3" json:"dataset,omitempty"` |
| XXX_NoUnkeyedLiteral struct{} `json:"-"` |
| XXX_unrecognized []byte `json:"-"` |
| XXX_sizecache int32 `json:"-"` |
| } |
| |
| func (m *CreateDatasetRequest) Reset() { *m = CreateDatasetRequest{} } |
| func (m *CreateDatasetRequest) String() string { return proto.CompactTextString(m) } |
| func (*CreateDatasetRequest) ProtoMessage() {} |
| func (*CreateDatasetRequest) Descriptor() ([]byte, []int) { |
| return fileDescriptor_d14ac936eda1c3a8, []int{0} |
| } |
| |
| func (m *CreateDatasetRequest) XXX_Unmarshal(b []byte) error { |
| return xxx_messageInfo_CreateDatasetRequest.Unmarshal(m, b) |
| } |
| func (m *CreateDatasetRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) { |
| return xxx_messageInfo_CreateDatasetRequest.Marshal(b, m, deterministic) |
| } |
| func (m *CreateDatasetRequest) XXX_Merge(src proto.Message) { |
| xxx_messageInfo_CreateDatasetRequest.Merge(m, src) |
| } |
| func (m *CreateDatasetRequest) XXX_Size() int { |
| return xxx_messageInfo_CreateDatasetRequest.Size(m) |
| } |
| func (m *CreateDatasetRequest) XXX_DiscardUnknown() { |
| xxx_messageInfo_CreateDatasetRequest.DiscardUnknown(m) |
| } |
| |
| var xxx_messageInfo_CreateDatasetRequest proto.InternalMessageInfo |
| |
| func (m *CreateDatasetRequest) GetParent() string { |
| if m != nil { |
| return m.Parent |
| } |
| return "" |
| } |
| |
| func (m *CreateDatasetRequest) GetDataset() *Dataset { |
| if m != nil { |
| return m.Dataset |
| } |
| return nil |
| } |
| |
| // Request message for |
| // [AutoMl.GetDataset][google.cloud.automl.v1.AutoMl.GetDataset]. |
| type GetDatasetRequest struct { |
| // The resource name of the dataset to retrieve. |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| XXX_NoUnkeyedLiteral struct{} `json:"-"` |
| XXX_unrecognized []byte `json:"-"` |
| XXX_sizecache int32 `json:"-"` |
| } |
| |
| func (m *GetDatasetRequest) Reset() { *m = GetDatasetRequest{} } |
| func (m *GetDatasetRequest) String() string { return proto.CompactTextString(m) } |
| func (*GetDatasetRequest) ProtoMessage() {} |
| func (*GetDatasetRequest) Descriptor() ([]byte, []int) { |
| return fileDescriptor_d14ac936eda1c3a8, []int{1} |
| } |
| |
| func (m *GetDatasetRequest) XXX_Unmarshal(b []byte) error { |
| return xxx_messageInfo_GetDatasetRequest.Unmarshal(m, b) |
| } |
| func (m *GetDatasetRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) { |
| return xxx_messageInfo_GetDatasetRequest.Marshal(b, m, deterministic) |
| } |
| func (m *GetDatasetRequest) XXX_Merge(src proto.Message) { |
| xxx_messageInfo_GetDatasetRequest.Merge(m, src) |
| } |
| func (m *GetDatasetRequest) XXX_Size() int { |
| return xxx_messageInfo_GetDatasetRequest.Size(m) |
| } |
| func (m *GetDatasetRequest) XXX_DiscardUnknown() { |
| xxx_messageInfo_GetDatasetRequest.DiscardUnknown(m) |
| } |
| |
| var xxx_messageInfo_GetDatasetRequest proto.InternalMessageInfo |
| |
| func (m *GetDatasetRequest) GetName() string { |
| if m != nil { |
| return m.Name |
| } |
| return "" |
| } |
| |
| // Request message for |
| // [AutoMl.ListDatasets][google.cloud.automl.v1.AutoMl.ListDatasets]. |
| type ListDatasetsRequest struct { |
| // The resource name of the project from which to list datasets. |
| Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"` |
| // An expression for filtering the results of the request. |
| // |
| // * `dataset_metadata` - for existence of the case (e.g. |
| // image_classification_dataset_metadata:*). Some examples of |
| // using the filter are: |
| // |
| // * `translation_dataset_metadata:*` --> The dataset has |
| // translation_dataset_metadata. |
| Filter string `protobuf:"bytes,3,opt,name=filter,proto3" json:"filter,omitempty"` |
| // Requested page size. Server may return fewer results than requested. |
| // If unspecified, server will pick a default size. |
| PageSize int32 `protobuf:"varint,4,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"` |
| // A token identifying a page of results for the server to return |
| // Typically obtained via |
| // [ListDatasetsResponse.next_page_token][google.cloud.automl.v1.ListDatasetsResponse.next_page_token] |
| // of the previous |
| // [AutoMl.ListDatasets][google.cloud.automl.v1.AutoMl.ListDatasets] call. |
| PageToken string `protobuf:"bytes,6,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"` |
| XXX_NoUnkeyedLiteral struct{} `json:"-"` |
| XXX_unrecognized []byte `json:"-"` |
| XXX_sizecache int32 `json:"-"` |
| } |
| |
| func (m *ListDatasetsRequest) Reset() { *m = ListDatasetsRequest{} } |
| func (m *ListDatasetsRequest) String() string { return proto.CompactTextString(m) } |
| func (*ListDatasetsRequest) ProtoMessage() {} |
| func (*ListDatasetsRequest) Descriptor() ([]byte, []int) { |
| return fileDescriptor_d14ac936eda1c3a8, []int{2} |
| } |
| |
| func (m *ListDatasetsRequest) XXX_Unmarshal(b []byte) error { |
| return xxx_messageInfo_ListDatasetsRequest.Unmarshal(m, b) |
| } |
| func (m *ListDatasetsRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) { |
| return xxx_messageInfo_ListDatasetsRequest.Marshal(b, m, deterministic) |
| } |
| func (m *ListDatasetsRequest) XXX_Merge(src proto.Message) { |
| xxx_messageInfo_ListDatasetsRequest.Merge(m, src) |
| } |
| func (m *ListDatasetsRequest) XXX_Size() int { |
| return xxx_messageInfo_ListDatasetsRequest.Size(m) |
| } |
| func (m *ListDatasetsRequest) XXX_DiscardUnknown() { |
| xxx_messageInfo_ListDatasetsRequest.DiscardUnknown(m) |
| } |
| |
| var xxx_messageInfo_ListDatasetsRequest proto.InternalMessageInfo |
| |
| func (m *ListDatasetsRequest) GetParent() string { |
| if m != nil { |
| return m.Parent |
| } |
| return "" |
| } |
| |
| func (m *ListDatasetsRequest) GetFilter() string { |
| if m != nil { |
| return m.Filter |
| } |
| return "" |
| } |
| |
| func (m *ListDatasetsRequest) GetPageSize() int32 { |
| if m != nil { |
| return m.PageSize |
| } |
| return 0 |
| } |
| |
| func (m *ListDatasetsRequest) GetPageToken() string { |
| if m != nil { |
| return m.PageToken |
| } |
| return "" |
| } |
| |
| // Response message for |
| // [AutoMl.ListDatasets][google.cloud.automl.v1.AutoMl.ListDatasets]. |
| type ListDatasetsResponse struct { |
| // The datasets read. |
| Datasets []*Dataset `protobuf:"bytes,1,rep,name=datasets,proto3" json:"datasets,omitempty"` |
| // A token to retrieve next page of results. |
| // Pass to |
| // [ListDatasetsRequest.page_token][google.cloud.automl.v1.ListDatasetsRequest.page_token] |
| // to obtain that page. |
| NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"` |
| XXX_NoUnkeyedLiteral struct{} `json:"-"` |
| XXX_unrecognized []byte `json:"-"` |
| XXX_sizecache int32 `json:"-"` |
| } |
| |
| func (m *ListDatasetsResponse) Reset() { *m = ListDatasetsResponse{} } |
| func (m *ListDatasetsResponse) String() string { return proto.CompactTextString(m) } |
| func (*ListDatasetsResponse) ProtoMessage() {} |
| func (*ListDatasetsResponse) Descriptor() ([]byte, []int) { |
| return fileDescriptor_d14ac936eda1c3a8, []int{3} |
| } |
| |
| func (m *ListDatasetsResponse) XXX_Unmarshal(b []byte) error { |
| return xxx_messageInfo_ListDatasetsResponse.Unmarshal(m, b) |
| } |
| func (m *ListDatasetsResponse) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) { |
| return xxx_messageInfo_ListDatasetsResponse.Marshal(b, m, deterministic) |
| } |
| func (m *ListDatasetsResponse) XXX_Merge(src proto.Message) { |
| xxx_messageInfo_ListDatasetsResponse.Merge(m, src) |
| } |
| func (m *ListDatasetsResponse) XXX_Size() int { |
| return xxx_messageInfo_ListDatasetsResponse.Size(m) |
| } |
| func (m *ListDatasetsResponse) XXX_DiscardUnknown() { |
| xxx_messageInfo_ListDatasetsResponse.DiscardUnknown(m) |
| } |
| |
| var xxx_messageInfo_ListDatasetsResponse proto.InternalMessageInfo |
| |
| func (m *ListDatasetsResponse) GetDatasets() []*Dataset { |
| if m != nil { |
| return m.Datasets |
| } |
| return nil |
| } |
| |
| func (m *ListDatasetsResponse) GetNextPageToken() string { |
| if m != nil { |
| return m.NextPageToken |
| } |
| return "" |
| } |
| |
| // Request message for |
| // [AutoMl.UpdateDataset][google.cloud.automl.v1.AutoMl.UpdateDataset] |
| type UpdateDatasetRequest struct { |
| // The dataset which replaces the resource on the server. |
| Dataset *Dataset `protobuf:"bytes,1,opt,name=dataset,proto3" json:"dataset,omitempty"` |
| // Required. The update mask applies to the resource. |
| UpdateMask *field_mask.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"` |
| XXX_NoUnkeyedLiteral struct{} `json:"-"` |
| XXX_unrecognized []byte `json:"-"` |
| XXX_sizecache int32 `json:"-"` |
| } |
| |
| func (m *UpdateDatasetRequest) Reset() { *m = UpdateDatasetRequest{} } |
| func (m *UpdateDatasetRequest) String() string { return proto.CompactTextString(m) } |
| func (*UpdateDatasetRequest) ProtoMessage() {} |
| func (*UpdateDatasetRequest) Descriptor() ([]byte, []int) { |
| return fileDescriptor_d14ac936eda1c3a8, []int{4} |
| } |
| |
| func (m *UpdateDatasetRequest) XXX_Unmarshal(b []byte) error { |
| return xxx_messageInfo_UpdateDatasetRequest.Unmarshal(m, b) |
| } |
| func (m *UpdateDatasetRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) { |
| return xxx_messageInfo_UpdateDatasetRequest.Marshal(b, m, deterministic) |
| } |
| func (m *UpdateDatasetRequest) XXX_Merge(src proto.Message) { |
| xxx_messageInfo_UpdateDatasetRequest.Merge(m, src) |
| } |
| func (m *UpdateDatasetRequest) XXX_Size() int { |
| return xxx_messageInfo_UpdateDatasetRequest.Size(m) |
| } |
| func (m *UpdateDatasetRequest) XXX_DiscardUnknown() { |
| xxx_messageInfo_UpdateDatasetRequest.DiscardUnknown(m) |
| } |
| |
| var xxx_messageInfo_UpdateDatasetRequest proto.InternalMessageInfo |
| |
| func (m *UpdateDatasetRequest) GetDataset() *Dataset { |
| if m != nil { |
| return m.Dataset |
| } |
| return nil |
| } |
| |
| func (m *UpdateDatasetRequest) GetUpdateMask() *field_mask.FieldMask { |
| if m != nil { |
| return m.UpdateMask |
| } |
| return nil |
| } |
| |
| // Request message for |
| // [AutoMl.DeleteDataset][google.cloud.automl.v1.AutoMl.DeleteDataset]. |
| type DeleteDatasetRequest struct { |
| // The resource name of the dataset to delete. |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| XXX_NoUnkeyedLiteral struct{} `json:"-"` |
| XXX_unrecognized []byte `json:"-"` |
| XXX_sizecache int32 `json:"-"` |
| } |
| |
| func (m *DeleteDatasetRequest) Reset() { *m = DeleteDatasetRequest{} } |
| func (m *DeleteDatasetRequest) String() string { return proto.CompactTextString(m) } |
| func (*DeleteDatasetRequest) ProtoMessage() {} |
| func (*DeleteDatasetRequest) Descriptor() ([]byte, []int) { |
| return fileDescriptor_d14ac936eda1c3a8, []int{5} |
| } |
| |
| func (m *DeleteDatasetRequest) XXX_Unmarshal(b []byte) error { |
| return xxx_messageInfo_DeleteDatasetRequest.Unmarshal(m, b) |
| } |
| func (m *DeleteDatasetRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) { |
| return xxx_messageInfo_DeleteDatasetRequest.Marshal(b, m, deterministic) |
| } |
| func (m *DeleteDatasetRequest) XXX_Merge(src proto.Message) { |
| xxx_messageInfo_DeleteDatasetRequest.Merge(m, src) |
| } |
| func (m *DeleteDatasetRequest) XXX_Size() int { |
| return xxx_messageInfo_DeleteDatasetRequest.Size(m) |
| } |
| func (m *DeleteDatasetRequest) XXX_DiscardUnknown() { |
| xxx_messageInfo_DeleteDatasetRequest.DiscardUnknown(m) |
| } |
| |
| var xxx_messageInfo_DeleteDatasetRequest proto.InternalMessageInfo |
| |
| func (m *DeleteDatasetRequest) GetName() string { |
| if m != nil { |
| return m.Name |
| } |
| return "" |
| } |
| |
| // Request message for |
| // [AutoMl.ImportData][google.cloud.automl.v1.AutoMl.ImportData]. |
| type ImportDataRequest struct { |
| // Required. Dataset name. Dataset must already exist. All imported |
| // annotations and examples will be added. |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| // Required. The desired input location and its domain specific semantics, |
| // if any. |
| InputConfig *InputConfig `protobuf:"bytes,3,opt,name=input_config,json=inputConfig,proto3" json:"input_config,omitempty"` |
| XXX_NoUnkeyedLiteral struct{} `json:"-"` |
| XXX_unrecognized []byte `json:"-"` |
| XXX_sizecache int32 `json:"-"` |
| } |
| |
| func (m *ImportDataRequest) Reset() { *m = ImportDataRequest{} } |
| func (m *ImportDataRequest) String() string { return proto.CompactTextString(m) } |
| func (*ImportDataRequest) ProtoMessage() {} |
| func (*ImportDataRequest) Descriptor() ([]byte, []int) { |
| return fileDescriptor_d14ac936eda1c3a8, []int{6} |
| } |
| |
| func (m *ImportDataRequest) XXX_Unmarshal(b []byte) error { |
| return xxx_messageInfo_ImportDataRequest.Unmarshal(m, b) |
| } |
| func (m *ImportDataRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) { |
| return xxx_messageInfo_ImportDataRequest.Marshal(b, m, deterministic) |
| } |
| func (m *ImportDataRequest) XXX_Merge(src proto.Message) { |
| xxx_messageInfo_ImportDataRequest.Merge(m, src) |
| } |
| func (m *ImportDataRequest) XXX_Size() int { |
| return xxx_messageInfo_ImportDataRequest.Size(m) |
| } |
| func (m *ImportDataRequest) XXX_DiscardUnknown() { |
| xxx_messageInfo_ImportDataRequest.DiscardUnknown(m) |
| } |
| |
| var xxx_messageInfo_ImportDataRequest proto.InternalMessageInfo |
| |
| func (m *ImportDataRequest) GetName() string { |
| if m != nil { |
| return m.Name |
| } |
| return "" |
| } |
| |
| func (m *ImportDataRequest) GetInputConfig() *InputConfig { |
| if m != nil { |
| return m.InputConfig |
| } |
| return nil |
| } |
| |
| // Request message for |
| // [AutoMl.ExportData][google.cloud.automl.v1.AutoMl.ExportData]. |
| type ExportDataRequest struct { |
| // Required. The resource name of the dataset. |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| // Required. The desired output location. |
| OutputConfig *OutputConfig `protobuf:"bytes,3,opt,name=output_config,json=outputConfig,proto3" json:"output_config,omitempty"` |
| XXX_NoUnkeyedLiteral struct{} `json:"-"` |
| XXX_unrecognized []byte `json:"-"` |
| XXX_sizecache int32 `json:"-"` |
| } |
| |
| func (m *ExportDataRequest) Reset() { *m = ExportDataRequest{} } |
| func (m *ExportDataRequest) String() string { return proto.CompactTextString(m) } |
| func (*ExportDataRequest) ProtoMessage() {} |
| func (*ExportDataRequest) Descriptor() ([]byte, []int) { |
| return fileDescriptor_d14ac936eda1c3a8, []int{7} |
| } |
| |
| func (m *ExportDataRequest) XXX_Unmarshal(b []byte) error { |
| return xxx_messageInfo_ExportDataRequest.Unmarshal(m, b) |
| } |
| func (m *ExportDataRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) { |
| return xxx_messageInfo_ExportDataRequest.Marshal(b, m, deterministic) |
| } |
| func (m *ExportDataRequest) XXX_Merge(src proto.Message) { |
| xxx_messageInfo_ExportDataRequest.Merge(m, src) |
| } |
| func (m *ExportDataRequest) XXX_Size() int { |
| return xxx_messageInfo_ExportDataRequest.Size(m) |
| } |
| func (m *ExportDataRequest) XXX_DiscardUnknown() { |
| xxx_messageInfo_ExportDataRequest.DiscardUnknown(m) |
| } |
| |
| var xxx_messageInfo_ExportDataRequest proto.InternalMessageInfo |
| |
| func (m *ExportDataRequest) GetName() string { |
| if m != nil { |
| return m.Name |
| } |
| return "" |
| } |
| |
| func (m *ExportDataRequest) GetOutputConfig() *OutputConfig { |
| if m != nil { |
| return m.OutputConfig |
| } |
| return nil |
| } |
| |
| // Request message for |
| // [AutoMl.GetAnnotationSpec][google.cloud.automl.v1.AutoMl.GetAnnotationSpec]. |
| type GetAnnotationSpecRequest struct { |
| // The resource name of the annotation spec to retrieve. |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| XXX_NoUnkeyedLiteral struct{} `json:"-"` |
| XXX_unrecognized []byte `json:"-"` |
| XXX_sizecache int32 `json:"-"` |
| } |
| |
| func (m *GetAnnotationSpecRequest) Reset() { *m = GetAnnotationSpecRequest{} } |
| func (m *GetAnnotationSpecRequest) String() string { return proto.CompactTextString(m) } |
| func (*GetAnnotationSpecRequest) ProtoMessage() {} |
| func (*GetAnnotationSpecRequest) Descriptor() ([]byte, []int) { |
| return fileDescriptor_d14ac936eda1c3a8, []int{8} |
| } |
| |
| func (m *GetAnnotationSpecRequest) XXX_Unmarshal(b []byte) error { |
| return xxx_messageInfo_GetAnnotationSpecRequest.Unmarshal(m, b) |
| } |
| func (m *GetAnnotationSpecRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) { |
| return xxx_messageInfo_GetAnnotationSpecRequest.Marshal(b, m, deterministic) |
| } |
| func (m *GetAnnotationSpecRequest) XXX_Merge(src proto.Message) { |
| xxx_messageInfo_GetAnnotationSpecRequest.Merge(m, src) |
| } |
| func (m *GetAnnotationSpecRequest) XXX_Size() int { |
| return xxx_messageInfo_GetAnnotationSpecRequest.Size(m) |
| } |
| func (m *GetAnnotationSpecRequest) XXX_DiscardUnknown() { |
| xxx_messageInfo_GetAnnotationSpecRequest.DiscardUnknown(m) |
| } |
| |
| var xxx_messageInfo_GetAnnotationSpecRequest proto.InternalMessageInfo |
| |
| func (m *GetAnnotationSpecRequest) GetName() string { |
| if m != nil { |
| return m.Name |
| } |
| return "" |
| } |
| |
| // Request message for |
| // [AutoMl.CreateModel][google.cloud.automl.v1.AutoMl.CreateModel]. |
| type CreateModelRequest struct { |
| // Resource name of the parent project where the model is being created. |
| Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"` |
| // The model to create. |
| Model *Model `protobuf:"bytes,4,opt,name=model,proto3" json:"model,omitempty"` |
| XXX_NoUnkeyedLiteral struct{} `json:"-"` |
| XXX_unrecognized []byte `json:"-"` |
| XXX_sizecache int32 `json:"-"` |
| } |
| |
| func (m *CreateModelRequest) Reset() { *m = CreateModelRequest{} } |
| func (m *CreateModelRequest) String() string { return proto.CompactTextString(m) } |
| func (*CreateModelRequest) ProtoMessage() {} |
| func (*CreateModelRequest) Descriptor() ([]byte, []int) { |
| return fileDescriptor_d14ac936eda1c3a8, []int{9} |
| } |
| |
| func (m *CreateModelRequest) XXX_Unmarshal(b []byte) error { |
| return xxx_messageInfo_CreateModelRequest.Unmarshal(m, b) |
| } |
| func (m *CreateModelRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) { |
| return xxx_messageInfo_CreateModelRequest.Marshal(b, m, deterministic) |
| } |
| func (m *CreateModelRequest) XXX_Merge(src proto.Message) { |
| xxx_messageInfo_CreateModelRequest.Merge(m, src) |
| } |
| func (m *CreateModelRequest) XXX_Size() int { |
| return xxx_messageInfo_CreateModelRequest.Size(m) |
| } |
| func (m *CreateModelRequest) XXX_DiscardUnknown() { |
| xxx_messageInfo_CreateModelRequest.DiscardUnknown(m) |
| } |
| |
| var xxx_messageInfo_CreateModelRequest proto.InternalMessageInfo |
| |
| func (m *CreateModelRequest) GetParent() string { |
| if m != nil { |
| return m.Parent |
| } |
| return "" |
| } |
| |
| func (m *CreateModelRequest) GetModel() *Model { |
| if m != nil { |
| return m.Model |
| } |
| return nil |
| } |
| |
| // Request message for |
| // [AutoMl.GetModel][google.cloud.automl.v1.AutoMl.GetModel]. |
| type GetModelRequest struct { |
| // Resource name of the model. |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| XXX_NoUnkeyedLiteral struct{} `json:"-"` |
| XXX_unrecognized []byte `json:"-"` |
| XXX_sizecache int32 `json:"-"` |
| } |
| |
| func (m *GetModelRequest) Reset() { *m = GetModelRequest{} } |
| func (m *GetModelRequest) String() string { return proto.CompactTextString(m) } |
| func (*GetModelRequest) ProtoMessage() {} |
| func (*GetModelRequest) Descriptor() ([]byte, []int) { |
| return fileDescriptor_d14ac936eda1c3a8, []int{10} |
| } |
| |
| func (m *GetModelRequest) XXX_Unmarshal(b []byte) error { |
| return xxx_messageInfo_GetModelRequest.Unmarshal(m, b) |
| } |
| func (m *GetModelRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) { |
| return xxx_messageInfo_GetModelRequest.Marshal(b, m, deterministic) |
| } |
| func (m *GetModelRequest) XXX_Merge(src proto.Message) { |
| xxx_messageInfo_GetModelRequest.Merge(m, src) |
| } |
| func (m *GetModelRequest) XXX_Size() int { |
| return xxx_messageInfo_GetModelRequest.Size(m) |
| } |
| func (m *GetModelRequest) XXX_DiscardUnknown() { |
| xxx_messageInfo_GetModelRequest.DiscardUnknown(m) |
| } |
| |
| var xxx_messageInfo_GetModelRequest proto.InternalMessageInfo |
| |
| func (m *GetModelRequest) GetName() string { |
| if m != nil { |
| return m.Name |
| } |
| return "" |
| } |
| |
| // Request message for |
| // [AutoMl.ListModels][google.cloud.automl.v1.AutoMl.ListModels]. |
| type ListModelsRequest struct { |
| // Resource name of the project, from which to list the models. |
| Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"` |
| // An expression for filtering the results of the request. |
| // |
| // * `model_metadata` - for existence of the case (e.g. |
| // image_classification_model_metadata:*). |
| // * `dataset_id` - for = or !=. Some examples of using the filter are: |
| // |
| // * `image_classification_model_metadata:*` --> The model has |
| // image_classification_model_metadata. |
| // * `dataset_id=5` --> The model was created from a dataset with ID 5. |
| Filter string `protobuf:"bytes,3,opt,name=filter,proto3" json:"filter,omitempty"` |
| // Requested page size. |
| PageSize int32 `protobuf:"varint,4,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"` |
| // A token identifying a page of results for the server to return |
| // Typically obtained via |
| // [ListModelsResponse.next_page_token][google.cloud.automl.v1.ListModelsResponse.next_page_token] |
| // of the previous |
| // [AutoMl.ListModels][google.cloud.automl.v1.AutoMl.ListModels] call. |
| PageToken string `protobuf:"bytes,6,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"` |
| XXX_NoUnkeyedLiteral struct{} `json:"-"` |
| XXX_unrecognized []byte `json:"-"` |
| XXX_sizecache int32 `json:"-"` |
| } |
| |
| func (m *ListModelsRequest) Reset() { *m = ListModelsRequest{} } |
| func (m *ListModelsRequest) String() string { return proto.CompactTextString(m) } |
| func (*ListModelsRequest) ProtoMessage() {} |
| func (*ListModelsRequest) Descriptor() ([]byte, []int) { |
| return fileDescriptor_d14ac936eda1c3a8, []int{11} |
| } |
| |
| func (m *ListModelsRequest) XXX_Unmarshal(b []byte) error { |
| return xxx_messageInfo_ListModelsRequest.Unmarshal(m, b) |
| } |
| func (m *ListModelsRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) { |
| return xxx_messageInfo_ListModelsRequest.Marshal(b, m, deterministic) |
| } |
| func (m *ListModelsRequest) XXX_Merge(src proto.Message) { |
| xxx_messageInfo_ListModelsRequest.Merge(m, src) |
| } |
| func (m *ListModelsRequest) XXX_Size() int { |
| return xxx_messageInfo_ListModelsRequest.Size(m) |
| } |
| func (m *ListModelsRequest) XXX_DiscardUnknown() { |
| xxx_messageInfo_ListModelsRequest.DiscardUnknown(m) |
| } |
| |
| var xxx_messageInfo_ListModelsRequest proto.InternalMessageInfo |
| |
| func (m *ListModelsRequest) GetParent() string { |
| if m != nil { |
| return m.Parent |
| } |
| return "" |
| } |
| |
| func (m *ListModelsRequest) GetFilter() string { |
| if m != nil { |
| return m.Filter |
| } |
| return "" |
| } |
| |
| func (m *ListModelsRequest) GetPageSize() int32 { |
| if m != nil { |
| return m.PageSize |
| } |
| return 0 |
| } |
| |
| func (m *ListModelsRequest) GetPageToken() string { |
| if m != nil { |
| return m.PageToken |
| } |
| return "" |
| } |
| |
| // Response message for |
| // [AutoMl.ListModels][google.cloud.automl.v1.AutoMl.ListModels]. |
| type ListModelsResponse struct { |
| // List of models in the requested page. |
| Model []*Model `protobuf:"bytes,1,rep,name=model,proto3" json:"model,omitempty"` |
| // A token to retrieve next page of results. |
| // Pass to |
| // [ListModelsRequest.page_token][google.cloud.automl.v1.ListModelsRequest.page_token] |
| // to obtain that page. |
| NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"` |
| XXX_NoUnkeyedLiteral struct{} `json:"-"` |
| XXX_unrecognized []byte `json:"-"` |
| XXX_sizecache int32 `json:"-"` |
| } |
| |
| func (m *ListModelsResponse) Reset() { *m = ListModelsResponse{} } |
| func (m *ListModelsResponse) String() string { return proto.CompactTextString(m) } |
| func (*ListModelsResponse) ProtoMessage() {} |
| func (*ListModelsResponse) Descriptor() ([]byte, []int) { |
| return fileDescriptor_d14ac936eda1c3a8, []int{12} |
| } |
| |
| func (m *ListModelsResponse) XXX_Unmarshal(b []byte) error { |
| return xxx_messageInfo_ListModelsResponse.Unmarshal(m, b) |
| } |
| func (m *ListModelsResponse) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) { |
| return xxx_messageInfo_ListModelsResponse.Marshal(b, m, deterministic) |
| } |
| func (m *ListModelsResponse) XXX_Merge(src proto.Message) { |
| xxx_messageInfo_ListModelsResponse.Merge(m, src) |
| } |
| func (m *ListModelsResponse) XXX_Size() int { |
| return xxx_messageInfo_ListModelsResponse.Size(m) |
| } |
| func (m *ListModelsResponse) XXX_DiscardUnknown() { |
| xxx_messageInfo_ListModelsResponse.DiscardUnknown(m) |
| } |
| |
| var xxx_messageInfo_ListModelsResponse proto.InternalMessageInfo |
| |
| func (m *ListModelsResponse) GetModel() []*Model { |
| if m != nil { |
| return m.Model |
| } |
| return nil |
| } |
| |
| func (m *ListModelsResponse) GetNextPageToken() string { |
| if m != nil { |
| return m.NextPageToken |
| } |
| return "" |
| } |
| |
| // Request message for |
| // [AutoMl.DeleteModel][google.cloud.automl.v1.AutoMl.DeleteModel]. |
| type DeleteModelRequest struct { |
| // Resource name of the model being deleted. |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| XXX_NoUnkeyedLiteral struct{} `json:"-"` |
| XXX_unrecognized []byte `json:"-"` |
| XXX_sizecache int32 `json:"-"` |
| } |
| |
| func (m *DeleteModelRequest) Reset() { *m = DeleteModelRequest{} } |
| func (m *DeleteModelRequest) String() string { return proto.CompactTextString(m) } |
| func (*DeleteModelRequest) ProtoMessage() {} |
| func (*DeleteModelRequest) Descriptor() ([]byte, []int) { |
| return fileDescriptor_d14ac936eda1c3a8, []int{13} |
| } |
| |
| func (m *DeleteModelRequest) XXX_Unmarshal(b []byte) error { |
| return xxx_messageInfo_DeleteModelRequest.Unmarshal(m, b) |
| } |
| func (m *DeleteModelRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) { |
| return xxx_messageInfo_DeleteModelRequest.Marshal(b, m, deterministic) |
| } |
| func (m *DeleteModelRequest) XXX_Merge(src proto.Message) { |
| xxx_messageInfo_DeleteModelRequest.Merge(m, src) |
| } |
| func (m *DeleteModelRequest) XXX_Size() int { |
| return xxx_messageInfo_DeleteModelRequest.Size(m) |
| } |
| func (m *DeleteModelRequest) XXX_DiscardUnknown() { |
| xxx_messageInfo_DeleteModelRequest.DiscardUnknown(m) |
| } |
| |
| var xxx_messageInfo_DeleteModelRequest proto.InternalMessageInfo |
| |
| func (m *DeleteModelRequest) GetName() string { |
| if m != nil { |
| return m.Name |
| } |
| return "" |
| } |
| |
| // Request message for |
| // [AutoMl.UpdateModel][google.cloud.automl.v1.AutoMl.UpdateModel] |
| type UpdateModelRequest struct { |
| // The model which replaces the resource on the server. |
| Model *Model `protobuf:"bytes,1,opt,name=model,proto3" json:"model,omitempty"` |
| // Required. The update mask applies to the resource. |
| UpdateMask *field_mask.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"` |
| XXX_NoUnkeyedLiteral struct{} `json:"-"` |
| XXX_unrecognized []byte `json:"-"` |
| XXX_sizecache int32 `json:"-"` |
| } |
| |
| func (m *UpdateModelRequest) Reset() { *m = UpdateModelRequest{} } |
| func (m *UpdateModelRequest) String() string { return proto.CompactTextString(m) } |
| func (*UpdateModelRequest) ProtoMessage() {} |
| func (*UpdateModelRequest) Descriptor() ([]byte, []int) { |
| return fileDescriptor_d14ac936eda1c3a8, []int{14} |
| } |
| |
| func (m *UpdateModelRequest) XXX_Unmarshal(b []byte) error { |
| return xxx_messageInfo_UpdateModelRequest.Unmarshal(m, b) |
| } |
| func (m *UpdateModelRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) { |
| return xxx_messageInfo_UpdateModelRequest.Marshal(b, m, deterministic) |
| } |
| func (m *UpdateModelRequest) XXX_Merge(src proto.Message) { |
| xxx_messageInfo_UpdateModelRequest.Merge(m, src) |
| } |
| func (m *UpdateModelRequest) XXX_Size() int { |
| return xxx_messageInfo_UpdateModelRequest.Size(m) |
| } |
| func (m *UpdateModelRequest) XXX_DiscardUnknown() { |
| xxx_messageInfo_UpdateModelRequest.DiscardUnknown(m) |
| } |
| |
| var xxx_messageInfo_UpdateModelRequest proto.InternalMessageInfo |
| |
| func (m *UpdateModelRequest) GetModel() *Model { |
| if m != nil { |
| return m.Model |
| } |
| return nil |
| } |
| |
| func (m *UpdateModelRequest) GetUpdateMask() *field_mask.FieldMask { |
| if m != nil { |
| return m.UpdateMask |
| } |
| return nil |
| } |
| |
| // Request message for |
| // [AutoMl.DeployModel][google.cloud.automl.v1.AutoMl.DeployModel]. |
| type DeployModelRequest struct { |
| // The per-domain specific deployment parameters. |
| // |
| // Types that are valid to be assigned to ModelDeploymentMetadata: |
| // *DeployModelRequest_ImageObjectDetectionModelDeploymentMetadata |
| // *DeployModelRequest_ImageClassificationModelDeploymentMetadata |
| ModelDeploymentMetadata isDeployModelRequest_ModelDeploymentMetadata `protobuf_oneof:"model_deployment_metadata"` |
| // Resource name of the model to deploy. |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| XXX_NoUnkeyedLiteral struct{} `json:"-"` |
| XXX_unrecognized []byte `json:"-"` |
| XXX_sizecache int32 `json:"-"` |
| } |
| |
| func (m *DeployModelRequest) Reset() { *m = DeployModelRequest{} } |
| func (m *DeployModelRequest) String() string { return proto.CompactTextString(m) } |
| func (*DeployModelRequest) ProtoMessage() {} |
| func (*DeployModelRequest) Descriptor() ([]byte, []int) { |
| return fileDescriptor_d14ac936eda1c3a8, []int{15} |
| } |
| |
| func (m *DeployModelRequest) XXX_Unmarshal(b []byte) error { |
| return xxx_messageInfo_DeployModelRequest.Unmarshal(m, b) |
| } |
| func (m *DeployModelRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) { |
| return xxx_messageInfo_DeployModelRequest.Marshal(b, m, deterministic) |
| } |
| func (m *DeployModelRequest) XXX_Merge(src proto.Message) { |
| xxx_messageInfo_DeployModelRequest.Merge(m, src) |
| } |
| func (m *DeployModelRequest) XXX_Size() int { |
| return xxx_messageInfo_DeployModelRequest.Size(m) |
| } |
| func (m *DeployModelRequest) XXX_DiscardUnknown() { |
| xxx_messageInfo_DeployModelRequest.DiscardUnknown(m) |
| } |
| |
| var xxx_messageInfo_DeployModelRequest proto.InternalMessageInfo |
| |
| type isDeployModelRequest_ModelDeploymentMetadata interface { |
| isDeployModelRequest_ModelDeploymentMetadata() |
| } |
| |
| type DeployModelRequest_ImageObjectDetectionModelDeploymentMetadata struct { |
| ImageObjectDetectionModelDeploymentMetadata *ImageObjectDetectionModelDeploymentMetadata `protobuf:"bytes,2,opt,name=image_object_detection_model_deployment_metadata,json=imageObjectDetectionModelDeploymentMetadata,proto3,oneof"` |
| } |
| |
| type DeployModelRequest_ImageClassificationModelDeploymentMetadata struct { |
| ImageClassificationModelDeploymentMetadata *ImageClassificationModelDeploymentMetadata `protobuf:"bytes,4,opt,name=image_classification_model_deployment_metadata,json=imageClassificationModelDeploymentMetadata,proto3,oneof"` |
| } |
| |
| func (*DeployModelRequest_ImageObjectDetectionModelDeploymentMetadata) isDeployModelRequest_ModelDeploymentMetadata() { |
| } |
| |
| func (*DeployModelRequest_ImageClassificationModelDeploymentMetadata) isDeployModelRequest_ModelDeploymentMetadata() { |
| } |
| |
| func (m *DeployModelRequest) GetModelDeploymentMetadata() isDeployModelRequest_ModelDeploymentMetadata { |
| if m != nil { |
| return m.ModelDeploymentMetadata |
| } |
| return nil |
| } |
| |
| func (m *DeployModelRequest) GetImageObjectDetectionModelDeploymentMetadata() *ImageObjectDetectionModelDeploymentMetadata { |
| if x, ok := m.GetModelDeploymentMetadata().(*DeployModelRequest_ImageObjectDetectionModelDeploymentMetadata); ok { |
| return x.ImageObjectDetectionModelDeploymentMetadata |
| } |
| return nil |
| } |
| |
| func (m *DeployModelRequest) GetImageClassificationModelDeploymentMetadata() *ImageClassificationModelDeploymentMetadata { |
| if x, ok := m.GetModelDeploymentMetadata().(*DeployModelRequest_ImageClassificationModelDeploymentMetadata); ok { |
| return x.ImageClassificationModelDeploymentMetadata |
| } |
| return nil |
| } |
| |
| func (m *DeployModelRequest) GetName() string { |
| if m != nil { |
| return m.Name |
| } |
| return "" |
| } |
| |
| // XXX_OneofWrappers is for the internal use of the proto package. |
| func (*DeployModelRequest) XXX_OneofWrappers() []interface{} { |
| return []interface{}{ |
| (*DeployModelRequest_ImageObjectDetectionModelDeploymentMetadata)(nil), |
| (*DeployModelRequest_ImageClassificationModelDeploymentMetadata)(nil), |
| } |
| } |
| |
| // Request message for |
| // [AutoMl.UndeployModel][google.cloud.automl.v1.AutoMl.UndeployModel]. |
| type UndeployModelRequest struct { |
| // Resource name of the model to undeploy. |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| XXX_NoUnkeyedLiteral struct{} `json:"-"` |
| XXX_unrecognized []byte `json:"-"` |
| XXX_sizecache int32 `json:"-"` |
| } |
| |
| func (m *UndeployModelRequest) Reset() { *m = UndeployModelRequest{} } |
| func (m *UndeployModelRequest) String() string { return proto.CompactTextString(m) } |
| func (*UndeployModelRequest) ProtoMessage() {} |
| func (*UndeployModelRequest) Descriptor() ([]byte, []int) { |
| return fileDescriptor_d14ac936eda1c3a8, []int{16} |
| } |
| |
| func (m *UndeployModelRequest) XXX_Unmarshal(b []byte) error { |
| return xxx_messageInfo_UndeployModelRequest.Unmarshal(m, b) |
| } |
| func (m *UndeployModelRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) { |
| return xxx_messageInfo_UndeployModelRequest.Marshal(b, m, deterministic) |
| } |
| func (m *UndeployModelRequest) XXX_Merge(src proto.Message) { |
| xxx_messageInfo_UndeployModelRequest.Merge(m, src) |
| } |
| func (m *UndeployModelRequest) XXX_Size() int { |
| return xxx_messageInfo_UndeployModelRequest.Size(m) |
| } |
| func (m *UndeployModelRequest) XXX_DiscardUnknown() { |
| xxx_messageInfo_UndeployModelRequest.DiscardUnknown(m) |
| } |
| |
| var xxx_messageInfo_UndeployModelRequest proto.InternalMessageInfo |
| |
| func (m *UndeployModelRequest) GetName() string { |
| if m != nil { |
| return m.Name |
| } |
| return "" |
| } |
| |
| // Request message for |
| // [AutoMl.ExportModel][google.cloud.automl.v1.AutoMl.ExportModel]. Models need |
| // to be enabled for exporting, otherwise an error code will be returned. |
| type ExportModelRequest struct { |
| // Required. The resource name of the model to export. |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| // Required. The desired output location and configuration. |
| OutputConfig *ModelExportOutputConfig `protobuf:"bytes,3,opt,name=output_config,json=outputConfig,proto3" json:"output_config,omitempty"` |
| XXX_NoUnkeyedLiteral struct{} `json:"-"` |
| XXX_unrecognized []byte `json:"-"` |
| XXX_sizecache int32 `json:"-"` |
| } |
| |
| func (m *ExportModelRequest) Reset() { *m = ExportModelRequest{} } |
| func (m *ExportModelRequest) String() string { return proto.CompactTextString(m) } |
| func (*ExportModelRequest) ProtoMessage() {} |
| func (*ExportModelRequest) Descriptor() ([]byte, []int) { |
| return fileDescriptor_d14ac936eda1c3a8, []int{17} |
| } |
| |
| func (m *ExportModelRequest) XXX_Unmarshal(b []byte) error { |
| return xxx_messageInfo_ExportModelRequest.Unmarshal(m, b) |
| } |
| func (m *ExportModelRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) { |
| return xxx_messageInfo_ExportModelRequest.Marshal(b, m, deterministic) |
| } |
| func (m *ExportModelRequest) XXX_Merge(src proto.Message) { |
| xxx_messageInfo_ExportModelRequest.Merge(m, src) |
| } |
| func (m *ExportModelRequest) XXX_Size() int { |
| return xxx_messageInfo_ExportModelRequest.Size(m) |
| } |
| func (m *ExportModelRequest) XXX_DiscardUnknown() { |
| xxx_messageInfo_ExportModelRequest.DiscardUnknown(m) |
| } |
| |
| var xxx_messageInfo_ExportModelRequest proto.InternalMessageInfo |
| |
| func (m *ExportModelRequest) GetName() string { |
| if m != nil { |
| return m.Name |
| } |
| return "" |
| } |
| |
| func (m *ExportModelRequest) GetOutputConfig() *ModelExportOutputConfig { |
| if m != nil { |
| return m.OutputConfig |
| } |
| return nil |
| } |
| |
| // Request message for |
| // [AutoMl.GetModelEvaluation][google.cloud.automl.v1.AutoMl.GetModelEvaluation]. |
| type GetModelEvaluationRequest struct { |
| // Resource name for the model evaluation. |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| XXX_NoUnkeyedLiteral struct{} `json:"-"` |
| XXX_unrecognized []byte `json:"-"` |
| XXX_sizecache int32 `json:"-"` |
| } |
| |
| func (m *GetModelEvaluationRequest) Reset() { *m = GetModelEvaluationRequest{} } |
| func (m *GetModelEvaluationRequest) String() string { return proto.CompactTextString(m) } |
| func (*GetModelEvaluationRequest) ProtoMessage() {} |
| func (*GetModelEvaluationRequest) Descriptor() ([]byte, []int) { |
| return fileDescriptor_d14ac936eda1c3a8, []int{18} |
| } |
| |
| func (m *GetModelEvaluationRequest) XXX_Unmarshal(b []byte) error { |
| return xxx_messageInfo_GetModelEvaluationRequest.Unmarshal(m, b) |
| } |
| func (m *GetModelEvaluationRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) { |
| return xxx_messageInfo_GetModelEvaluationRequest.Marshal(b, m, deterministic) |
| } |
| func (m *GetModelEvaluationRequest) XXX_Merge(src proto.Message) { |
| xxx_messageInfo_GetModelEvaluationRequest.Merge(m, src) |
| } |
| func (m *GetModelEvaluationRequest) XXX_Size() int { |
| return xxx_messageInfo_GetModelEvaluationRequest.Size(m) |
| } |
| func (m *GetModelEvaluationRequest) XXX_DiscardUnknown() { |
| xxx_messageInfo_GetModelEvaluationRequest.DiscardUnknown(m) |
| } |
| |
| var xxx_messageInfo_GetModelEvaluationRequest proto.InternalMessageInfo |
| |
| func (m *GetModelEvaluationRequest) GetName() string { |
| if m != nil { |
| return m.Name |
| } |
| return "" |
| } |
| |
| // Request message for |
| // [AutoMl.ListModelEvaluations][google.cloud.automl.v1.AutoMl.ListModelEvaluations]. |
| type ListModelEvaluationsRequest struct { |
| // Resource name of the model to list the model evaluations for. |
| // If modelId is set as "-", this will list model evaluations from across all |
| // models of the parent location. |
| Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"` |
| // An expression for filtering the results of the request. |
| // |
| // * `annotation_spec_id` - for =, != or existence. See example below for |
| // the last. |
| // |
| // Some examples of using the filter are: |
| // |
| // * `annotation_spec_id!=4` --> The model evaluation was done for |
| // annotation spec with ID different than 4. |
| // * `NOT annotation_spec_id:*` --> The model evaluation was done for |
| // aggregate of all annotation specs. |
| Filter string `protobuf:"bytes,3,opt,name=filter,proto3" json:"filter,omitempty"` |
| // Requested page size. |
| PageSize int32 `protobuf:"varint,4,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"` |
| // A token identifying a page of results for the server to return. |
| // Typically obtained via |
| // [ListModelEvaluationsResponse.next_page_token][google.cloud.automl.v1.ListModelEvaluationsResponse.next_page_token] |
| // of the previous |
| // [AutoMl.ListModelEvaluations][google.cloud.automl.v1.AutoMl.ListModelEvaluations] |
| // call. |
| PageToken string `protobuf:"bytes,6,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"` |
| XXX_NoUnkeyedLiteral struct{} `json:"-"` |
| XXX_unrecognized []byte `json:"-"` |
| XXX_sizecache int32 `json:"-"` |
| } |
| |
| func (m *ListModelEvaluationsRequest) Reset() { *m = ListModelEvaluationsRequest{} } |
| func (m *ListModelEvaluationsRequest) String() string { return proto.CompactTextString(m) } |
| func (*ListModelEvaluationsRequest) ProtoMessage() {} |
| func (*ListModelEvaluationsRequest) Descriptor() ([]byte, []int) { |
| return fileDescriptor_d14ac936eda1c3a8, []int{19} |
| } |
| |
| func (m *ListModelEvaluationsRequest) XXX_Unmarshal(b []byte) error { |
| return xxx_messageInfo_ListModelEvaluationsRequest.Unmarshal(m, b) |
| } |
| func (m *ListModelEvaluationsRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) { |
| return xxx_messageInfo_ListModelEvaluationsRequest.Marshal(b, m, deterministic) |
| } |
| func (m *ListModelEvaluationsRequest) XXX_Merge(src proto.Message) { |
| xxx_messageInfo_ListModelEvaluationsRequest.Merge(m, src) |
| } |
| func (m *ListModelEvaluationsRequest) XXX_Size() int { |
| return xxx_messageInfo_ListModelEvaluationsRequest.Size(m) |
| } |
| func (m *ListModelEvaluationsRequest) XXX_DiscardUnknown() { |
| xxx_messageInfo_ListModelEvaluationsRequest.DiscardUnknown(m) |
| } |
| |
| var xxx_messageInfo_ListModelEvaluationsRequest proto.InternalMessageInfo |
| |
| func (m *ListModelEvaluationsRequest) GetParent() string { |
| if m != nil { |
| return m.Parent |
| } |
| return "" |
| } |
| |
| func (m *ListModelEvaluationsRequest) GetFilter() string { |
| if m != nil { |
| return m.Filter |
| } |
| return "" |
| } |
| |
| func (m *ListModelEvaluationsRequest) GetPageSize() int32 { |
| if m != nil { |
| return m.PageSize |
| } |
| return 0 |
| } |
| |
| func (m *ListModelEvaluationsRequest) GetPageToken() string { |
| if m != nil { |
| return m.PageToken |
| } |
| return "" |
| } |
| |
| // Response message for |
| // [AutoMl.ListModelEvaluations][google.cloud.automl.v1.AutoMl.ListModelEvaluations]. |
| type ListModelEvaluationsResponse struct { |
| // List of model evaluations in the requested page. |
| ModelEvaluation []*ModelEvaluation `protobuf:"bytes,1,rep,name=model_evaluation,json=modelEvaluation,proto3" json:"model_evaluation,omitempty"` |
| // A token to retrieve next page of results. |
| // Pass to the |
| // [ListModelEvaluationsRequest.page_token][google.cloud.automl.v1.ListModelEvaluationsRequest.page_token] |
| // field of a new |
| // [AutoMl.ListModelEvaluations][google.cloud.automl.v1.AutoMl.ListModelEvaluations] |
| // request to obtain that page. |
| NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"` |
| XXX_NoUnkeyedLiteral struct{} `json:"-"` |
| XXX_unrecognized []byte `json:"-"` |
| XXX_sizecache int32 `json:"-"` |
| } |
| |
| func (m *ListModelEvaluationsResponse) Reset() { *m = ListModelEvaluationsResponse{} } |
| func (m *ListModelEvaluationsResponse) String() string { return proto.CompactTextString(m) } |
| func (*ListModelEvaluationsResponse) ProtoMessage() {} |
| func (*ListModelEvaluationsResponse) Descriptor() ([]byte, []int) { |
| return fileDescriptor_d14ac936eda1c3a8, []int{20} |
| } |
| |
| func (m *ListModelEvaluationsResponse) XXX_Unmarshal(b []byte) error { |
| return xxx_messageInfo_ListModelEvaluationsResponse.Unmarshal(m, b) |
| } |
| func (m *ListModelEvaluationsResponse) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) { |
| return xxx_messageInfo_ListModelEvaluationsResponse.Marshal(b, m, deterministic) |
| } |
| func (m *ListModelEvaluationsResponse) XXX_Merge(src proto.Message) { |
| xxx_messageInfo_ListModelEvaluationsResponse.Merge(m, src) |
| } |
| func (m *ListModelEvaluationsResponse) XXX_Size() int { |
| return xxx_messageInfo_ListModelEvaluationsResponse.Size(m) |
| } |
| func (m *ListModelEvaluationsResponse) XXX_DiscardUnknown() { |
| xxx_messageInfo_ListModelEvaluationsResponse.DiscardUnknown(m) |
| } |
| |
| var xxx_messageInfo_ListModelEvaluationsResponse proto.InternalMessageInfo |
| |
| func (m *ListModelEvaluationsResponse) GetModelEvaluation() []*ModelEvaluation { |
| if m != nil { |
| return m.ModelEvaluation |
| } |
| return nil |
| } |
| |
| func (m *ListModelEvaluationsResponse) GetNextPageToken() string { |
| if m != nil { |
| return m.NextPageToken |
| } |
| return "" |
| } |
| |
| func init() { |
| proto.RegisterType((*CreateDatasetRequest)(nil), "google.cloud.automl.v1.CreateDatasetRequest") |
| proto.RegisterType((*GetDatasetRequest)(nil), "google.cloud.automl.v1.GetDatasetRequest") |
| proto.RegisterType((*ListDatasetsRequest)(nil), "google.cloud.automl.v1.ListDatasetsRequest") |
| proto.RegisterType((*ListDatasetsResponse)(nil), "google.cloud.automl.v1.ListDatasetsResponse") |
| proto.RegisterType((*UpdateDatasetRequest)(nil), "google.cloud.automl.v1.UpdateDatasetRequest") |
| proto.RegisterType((*DeleteDatasetRequest)(nil), "google.cloud.automl.v1.DeleteDatasetRequest") |
| proto.RegisterType((*ImportDataRequest)(nil), "google.cloud.automl.v1.ImportDataRequest") |
| proto.RegisterType((*ExportDataRequest)(nil), "google.cloud.automl.v1.ExportDataRequest") |
| proto.RegisterType((*GetAnnotationSpecRequest)(nil), "google.cloud.automl.v1.GetAnnotationSpecRequest") |
| proto.RegisterType((*CreateModelRequest)(nil), "google.cloud.automl.v1.CreateModelRequest") |
| proto.RegisterType((*GetModelRequest)(nil), "google.cloud.automl.v1.GetModelRequest") |
| proto.RegisterType((*ListModelsRequest)(nil), "google.cloud.automl.v1.ListModelsRequest") |
| proto.RegisterType((*ListModelsResponse)(nil), "google.cloud.automl.v1.ListModelsResponse") |
| proto.RegisterType((*DeleteModelRequest)(nil), "google.cloud.automl.v1.DeleteModelRequest") |
| proto.RegisterType((*UpdateModelRequest)(nil), "google.cloud.automl.v1.UpdateModelRequest") |
| proto.RegisterType((*DeployModelRequest)(nil), "google.cloud.automl.v1.DeployModelRequest") |
| proto.RegisterType((*UndeployModelRequest)(nil), "google.cloud.automl.v1.UndeployModelRequest") |
| proto.RegisterType((*ExportModelRequest)(nil), "google.cloud.automl.v1.ExportModelRequest") |
| proto.RegisterType((*GetModelEvaluationRequest)(nil), "google.cloud.automl.v1.GetModelEvaluationRequest") |
| proto.RegisterType((*ListModelEvaluationsRequest)(nil), "google.cloud.automl.v1.ListModelEvaluationsRequest") |
| proto.RegisterType((*ListModelEvaluationsResponse)(nil), "google.cloud.automl.v1.ListModelEvaluationsResponse") |
| } |
| |
| func init() { |
| proto.RegisterFile("google/cloud/automl/v1/service.proto", fileDescriptor_d14ac936eda1c3a8) |
| } |
| |
| var fileDescriptor_d14ac936eda1c3a8 = []byte{ |
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| } |
| |
| // Reference imports to suppress errors if they are not otherwise used. |
| var _ context.Context |
| var _ grpc.ClientConnInterface |
| |
| // This is a compile-time assertion to ensure that this generated file |
| // is compatible with the grpc package it is being compiled against. |
| const _ = grpc.SupportPackageIsVersion6 |
| |
| // AutoMlClient is the client API for AutoMl service. |
| // |
| // For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream. |
| type AutoMlClient interface { |
| // Creates a dataset. |
| CreateDataset(ctx context.Context, in *CreateDatasetRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) |
| // Gets a dataset. |
| GetDataset(ctx context.Context, in *GetDatasetRequest, opts ...grpc.CallOption) (*Dataset, error) |
| // Lists datasets in a project. |
| ListDatasets(ctx context.Context, in *ListDatasetsRequest, opts ...grpc.CallOption) (*ListDatasetsResponse, error) |
| // Updates a dataset. |
| UpdateDataset(ctx context.Context, in *UpdateDatasetRequest, opts ...grpc.CallOption) (*Dataset, error) |
| // Deletes a dataset and all of its contents. |
| // Returns empty response in the |
| // [response][google.longrunning.Operation.response] field when it completes, |
| // and `delete_details` in the |
| // [metadata][google.longrunning.Operation.metadata] field. |
| DeleteDataset(ctx context.Context, in *DeleteDatasetRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) |
| // Imports data into a dataset. |
| ImportData(ctx context.Context, in *ImportDataRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) |
| // Exports dataset's data to the provided output location. |
| // Returns an empty response in the |
| // [response][google.longrunning.Operation.response] field when it completes. |
| ExportData(ctx context.Context, in *ExportDataRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) |
| // Gets an annotation spec. |
| GetAnnotationSpec(ctx context.Context, in *GetAnnotationSpecRequest, opts ...grpc.CallOption) (*AnnotationSpec, error) |
| // Creates a model. |
| // Returns a Model in the [response][google.longrunning.Operation.response] |
| // field when it completes. |
| // When you create a model, several model evaluations are created for it: |
| // a global evaluation, and one evaluation for each annotation spec. |
| CreateModel(ctx context.Context, in *CreateModelRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) |
| // Gets a model. |
| GetModel(ctx context.Context, in *GetModelRequest, opts ...grpc.CallOption) (*Model, error) |
| // Lists models. |
| ListModels(ctx context.Context, in *ListModelsRequest, opts ...grpc.CallOption) (*ListModelsResponse, error) |
| // Deletes a model. |
| // Returns `google.protobuf.Empty` in the |
| // [response][google.longrunning.Operation.response] field when it completes, |
| // and `delete_details` in the |
| // [metadata][google.longrunning.Operation.metadata] field. |
| DeleteModel(ctx context.Context, in *DeleteModelRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) |
| // Updates a model. |
| UpdateModel(ctx context.Context, in *UpdateModelRequest, opts ...grpc.CallOption) (*Model, error) |
| // Deploys a model. If a model is already deployed, deploying it with the |
| // same parameters has no effect. Deploying with different parametrs |
| // (as e.g. changing |
| // |
| // [node_number][google.cloud.automl.v1.ImageObjectDetectionModelDeploymentMetadata.node_number]) |
| // will reset the deployment state without pausing the model's availability. |
| // |
| // Only applicable for Text Classification, Image Object Detection; all other |
| // domains manage deployment automatically. |
| // |
| // Returns an empty response in the |
| // [response][google.longrunning.Operation.response] field when it completes. |
| DeployModel(ctx context.Context, in *DeployModelRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) |
| // Undeploys a model. If the model is not deployed this method has no effect. |
| // |
| // Only applicable for Text Classification, Image Object Detection; |
| // all other domains manage deployment automatically. |
| // |
| // Returns an empty response in the |
| // [response][google.longrunning.Operation.response] field when it completes. |
| UndeployModel(ctx context.Context, in *UndeployModelRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) |
| // Exports a trained, "export-able", model to a user specified Google Cloud |
| // Storage location. A model is considered export-able if and only if it has |
| // an export format defined for it in |
| // [ModelExportOutputConfig][google.cloud.automl.v1.ModelExportOutputConfig]. |
| // |
| // Returns an empty response in the |
| // [response][google.longrunning.Operation.response] field when it completes. |
| ExportModel(ctx context.Context, in *ExportModelRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) |
| // Gets a model evaluation. |
| GetModelEvaluation(ctx context.Context, in *GetModelEvaluationRequest, opts ...grpc.CallOption) (*ModelEvaluation, error) |
| // Lists model evaluations. |
| ListModelEvaluations(ctx context.Context, in *ListModelEvaluationsRequest, opts ...grpc.CallOption) (*ListModelEvaluationsResponse, error) |
| } |
| |
| type autoMlClient struct { |
| cc grpc.ClientConnInterface |
| } |
| |
| func NewAutoMlClient(cc grpc.ClientConnInterface) AutoMlClient { |
| return &autoMlClient{cc} |
| } |
| |
| func (c *autoMlClient) CreateDataset(ctx context.Context, in *CreateDatasetRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) { |
| out := new(longrunning.Operation) |
| err := c.cc.Invoke(ctx, "/google.cloud.automl.v1.AutoMl/CreateDataset", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *autoMlClient) GetDataset(ctx context.Context, in *GetDatasetRequest, opts ...grpc.CallOption) (*Dataset, error) { |
| out := new(Dataset) |
| err := c.cc.Invoke(ctx, "/google.cloud.automl.v1.AutoMl/GetDataset", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *autoMlClient) ListDatasets(ctx context.Context, in *ListDatasetsRequest, opts ...grpc.CallOption) (*ListDatasetsResponse, error) { |
| out := new(ListDatasetsResponse) |
| err := c.cc.Invoke(ctx, "/google.cloud.automl.v1.AutoMl/ListDatasets", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *autoMlClient) UpdateDataset(ctx context.Context, in *UpdateDatasetRequest, opts ...grpc.CallOption) (*Dataset, error) { |
| out := new(Dataset) |
| err := c.cc.Invoke(ctx, "/google.cloud.automl.v1.AutoMl/UpdateDataset", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *autoMlClient) DeleteDataset(ctx context.Context, in *DeleteDatasetRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) { |
| out := new(longrunning.Operation) |
| err := c.cc.Invoke(ctx, "/google.cloud.automl.v1.AutoMl/DeleteDataset", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *autoMlClient) ImportData(ctx context.Context, in *ImportDataRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) { |
| out := new(longrunning.Operation) |
| err := c.cc.Invoke(ctx, "/google.cloud.automl.v1.AutoMl/ImportData", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *autoMlClient) ExportData(ctx context.Context, in *ExportDataRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) { |
| out := new(longrunning.Operation) |
| err := c.cc.Invoke(ctx, "/google.cloud.automl.v1.AutoMl/ExportData", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *autoMlClient) GetAnnotationSpec(ctx context.Context, in *GetAnnotationSpecRequest, opts ...grpc.CallOption) (*AnnotationSpec, error) { |
| out := new(AnnotationSpec) |
| err := c.cc.Invoke(ctx, "/google.cloud.automl.v1.AutoMl/GetAnnotationSpec", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *autoMlClient) CreateModel(ctx context.Context, in *CreateModelRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) { |
| out := new(longrunning.Operation) |
| err := c.cc.Invoke(ctx, "/google.cloud.automl.v1.AutoMl/CreateModel", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *autoMlClient) GetModel(ctx context.Context, in *GetModelRequest, opts ...grpc.CallOption) (*Model, error) { |
| out := new(Model) |
| err := c.cc.Invoke(ctx, "/google.cloud.automl.v1.AutoMl/GetModel", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *autoMlClient) ListModels(ctx context.Context, in *ListModelsRequest, opts ...grpc.CallOption) (*ListModelsResponse, error) { |
| out := new(ListModelsResponse) |
| err := c.cc.Invoke(ctx, "/google.cloud.automl.v1.AutoMl/ListModels", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *autoMlClient) DeleteModel(ctx context.Context, in *DeleteModelRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) { |
| out := new(longrunning.Operation) |
| err := c.cc.Invoke(ctx, "/google.cloud.automl.v1.AutoMl/DeleteModel", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *autoMlClient) UpdateModel(ctx context.Context, in *UpdateModelRequest, opts ...grpc.CallOption) (*Model, error) { |
| out := new(Model) |
| err := c.cc.Invoke(ctx, "/google.cloud.automl.v1.AutoMl/UpdateModel", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *autoMlClient) DeployModel(ctx context.Context, in *DeployModelRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) { |
| out := new(longrunning.Operation) |
| err := c.cc.Invoke(ctx, "/google.cloud.automl.v1.AutoMl/DeployModel", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *autoMlClient) UndeployModel(ctx context.Context, in *UndeployModelRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) { |
| out := new(longrunning.Operation) |
| err := c.cc.Invoke(ctx, "/google.cloud.automl.v1.AutoMl/UndeployModel", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *autoMlClient) ExportModel(ctx context.Context, in *ExportModelRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) { |
| out := new(longrunning.Operation) |
| err := c.cc.Invoke(ctx, "/google.cloud.automl.v1.AutoMl/ExportModel", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *autoMlClient) GetModelEvaluation(ctx context.Context, in *GetModelEvaluationRequest, opts ...grpc.CallOption) (*ModelEvaluation, error) { |
| out := new(ModelEvaluation) |
| err := c.cc.Invoke(ctx, "/google.cloud.automl.v1.AutoMl/GetModelEvaluation", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *autoMlClient) ListModelEvaluations(ctx context.Context, in *ListModelEvaluationsRequest, opts ...grpc.CallOption) (*ListModelEvaluationsResponse, error) { |
| out := new(ListModelEvaluationsResponse) |
| err := c.cc.Invoke(ctx, "/google.cloud.automl.v1.AutoMl/ListModelEvaluations", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| // AutoMlServer is the server API for AutoMl service. |
| type AutoMlServer interface { |
| // Creates a dataset. |
| CreateDataset(context.Context, *CreateDatasetRequest) (*longrunning.Operation, error) |
| // Gets a dataset. |
| GetDataset(context.Context, *GetDatasetRequest) (*Dataset, error) |
| // Lists datasets in a project. |
| ListDatasets(context.Context, *ListDatasetsRequest) (*ListDatasetsResponse, error) |
| // Updates a dataset. |
| UpdateDataset(context.Context, *UpdateDatasetRequest) (*Dataset, error) |
| // Deletes a dataset and all of its contents. |
| // Returns empty response in the |
| // [response][google.longrunning.Operation.response] field when it completes, |
| // and `delete_details` in the |
| // [metadata][google.longrunning.Operation.metadata] field. |
| DeleteDataset(context.Context, *DeleteDatasetRequest) (*longrunning.Operation, error) |
| // Imports data into a dataset. |
| ImportData(context.Context, *ImportDataRequest) (*longrunning.Operation, error) |
| // Exports dataset's data to the provided output location. |
| // Returns an empty response in the |
| // [response][google.longrunning.Operation.response] field when it completes. |
| ExportData(context.Context, *ExportDataRequest) (*longrunning.Operation, error) |
| // Gets an annotation spec. |
| GetAnnotationSpec(context.Context, *GetAnnotationSpecRequest) (*AnnotationSpec, error) |
| // Creates a model. |
| // Returns a Model in the [response][google.longrunning.Operation.response] |
| // field when it completes. |
| // When you create a model, several model evaluations are created for it: |
| // a global evaluation, and one evaluation for each annotation spec. |
| CreateModel(context.Context, *CreateModelRequest) (*longrunning.Operation, error) |
| // Gets a model. |
| GetModel(context.Context, *GetModelRequest) (*Model, error) |
| // Lists models. |
| ListModels(context.Context, *ListModelsRequest) (*ListModelsResponse, error) |
| // Deletes a model. |
| // Returns `google.protobuf.Empty` in the |
| // [response][google.longrunning.Operation.response] field when it completes, |
| // and `delete_details` in the |
| // [metadata][google.longrunning.Operation.metadata] field. |
| DeleteModel(context.Context, *DeleteModelRequest) (*longrunning.Operation, error) |
| // Updates a model. |
| UpdateModel(context.Context, *UpdateModelRequest) (*Model, error) |
| // Deploys a model. If a model is already deployed, deploying it with the |
| // same parameters has no effect. Deploying with different parametrs |
| // (as e.g. changing |
| // |
| // [node_number][google.cloud.automl.v1.ImageObjectDetectionModelDeploymentMetadata.node_number]) |
| // will reset the deployment state without pausing the model's availability. |
| // |
| // Only applicable for Text Classification, Image Object Detection; all other |
| // domains manage deployment automatically. |
| // |
| // Returns an empty response in the |
| // [response][google.longrunning.Operation.response] field when it completes. |
| DeployModel(context.Context, *DeployModelRequest) (*longrunning.Operation, error) |
| // Undeploys a model. If the model is not deployed this method has no effect. |
| // |
| // Only applicable for Text Classification, Image Object Detection; |
| // all other domains manage deployment automatically. |
| // |
| // Returns an empty response in the |
| // [response][google.longrunning.Operation.response] field when it completes. |
| UndeployModel(context.Context, *UndeployModelRequest) (*longrunning.Operation, error) |
| // Exports a trained, "export-able", model to a user specified Google Cloud |
| // Storage location. A model is considered export-able if and only if it has |
| // an export format defined for it in |
| // [ModelExportOutputConfig][google.cloud.automl.v1.ModelExportOutputConfig]. |
| // |
| // Returns an empty response in the |
| // [response][google.longrunning.Operation.response] field when it completes. |
| ExportModel(context.Context, *ExportModelRequest) (*longrunning.Operation, error) |
| // Gets a model evaluation. |
| GetModelEvaluation(context.Context, *GetModelEvaluationRequest) (*ModelEvaluation, error) |
| // Lists model evaluations. |
| ListModelEvaluations(context.Context, *ListModelEvaluationsRequest) (*ListModelEvaluationsResponse, error) |
| } |
| |
| // UnimplementedAutoMlServer can be embedded to have forward compatible implementations. |
| type UnimplementedAutoMlServer struct { |
| } |
| |
| func (*UnimplementedAutoMlServer) CreateDataset(ctx context.Context, req *CreateDatasetRequest) (*longrunning.Operation, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method CreateDataset not implemented") |
| } |
| func (*UnimplementedAutoMlServer) GetDataset(ctx context.Context, req *GetDatasetRequest) (*Dataset, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method GetDataset not implemented") |
| } |
| func (*UnimplementedAutoMlServer) ListDatasets(ctx context.Context, req *ListDatasetsRequest) (*ListDatasetsResponse, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method ListDatasets not implemented") |
| } |
| func (*UnimplementedAutoMlServer) UpdateDataset(ctx context.Context, req *UpdateDatasetRequest) (*Dataset, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method UpdateDataset not implemented") |
| } |
| func (*UnimplementedAutoMlServer) DeleteDataset(ctx context.Context, req *DeleteDatasetRequest) (*longrunning.Operation, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method DeleteDataset not implemented") |
| } |
| func (*UnimplementedAutoMlServer) ImportData(ctx context.Context, req *ImportDataRequest) (*longrunning.Operation, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method ImportData not implemented") |
| } |
| func (*UnimplementedAutoMlServer) ExportData(ctx context.Context, req *ExportDataRequest) (*longrunning.Operation, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method ExportData not implemented") |
| } |
| func (*UnimplementedAutoMlServer) GetAnnotationSpec(ctx context.Context, req *GetAnnotationSpecRequest) (*AnnotationSpec, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method GetAnnotationSpec not implemented") |
| } |
| func (*UnimplementedAutoMlServer) CreateModel(ctx context.Context, req *CreateModelRequest) (*longrunning.Operation, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method CreateModel not implemented") |
| } |
| func (*UnimplementedAutoMlServer) GetModel(ctx context.Context, req *GetModelRequest) (*Model, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method GetModel not implemented") |
| } |
| func (*UnimplementedAutoMlServer) ListModels(ctx context.Context, req *ListModelsRequest) (*ListModelsResponse, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method ListModels not implemented") |
| } |
| func (*UnimplementedAutoMlServer) DeleteModel(ctx context.Context, req *DeleteModelRequest) (*longrunning.Operation, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method DeleteModel not implemented") |
| } |
| func (*UnimplementedAutoMlServer) UpdateModel(ctx context.Context, req *UpdateModelRequest) (*Model, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method UpdateModel not implemented") |
| } |
| func (*UnimplementedAutoMlServer) DeployModel(ctx context.Context, req *DeployModelRequest) (*longrunning.Operation, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method DeployModel not implemented") |
| } |
| func (*UnimplementedAutoMlServer) UndeployModel(ctx context.Context, req *UndeployModelRequest) (*longrunning.Operation, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method UndeployModel not implemented") |
| } |
| func (*UnimplementedAutoMlServer) ExportModel(ctx context.Context, req *ExportModelRequest) (*longrunning.Operation, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method ExportModel not implemented") |
| } |
| func (*UnimplementedAutoMlServer) GetModelEvaluation(ctx context.Context, req *GetModelEvaluationRequest) (*ModelEvaluation, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method GetModelEvaluation not implemented") |
| } |
| func (*UnimplementedAutoMlServer) ListModelEvaluations(ctx context.Context, req *ListModelEvaluationsRequest) (*ListModelEvaluationsResponse, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method ListModelEvaluations not implemented") |
| } |
| |
| func RegisterAutoMlServer(s *grpc.Server, srv AutoMlServer) { |
| s.RegisterService(&_AutoMl_serviceDesc, srv) |
| } |
| |
| func _AutoMl_CreateDataset_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(CreateDatasetRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(AutoMlServer).CreateDataset(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.automl.v1.AutoMl/CreateDataset", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(AutoMlServer).CreateDataset(ctx, req.(*CreateDatasetRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _AutoMl_GetDataset_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(GetDatasetRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(AutoMlServer).GetDataset(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.automl.v1.AutoMl/GetDataset", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(AutoMlServer).GetDataset(ctx, req.(*GetDatasetRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _AutoMl_ListDatasets_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(ListDatasetsRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(AutoMlServer).ListDatasets(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.automl.v1.AutoMl/ListDatasets", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(AutoMlServer).ListDatasets(ctx, req.(*ListDatasetsRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _AutoMl_UpdateDataset_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(UpdateDatasetRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(AutoMlServer).UpdateDataset(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.automl.v1.AutoMl/UpdateDataset", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(AutoMlServer).UpdateDataset(ctx, req.(*UpdateDatasetRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _AutoMl_DeleteDataset_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(DeleteDatasetRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(AutoMlServer).DeleteDataset(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.automl.v1.AutoMl/DeleteDataset", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(AutoMlServer).DeleteDataset(ctx, req.(*DeleteDatasetRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _AutoMl_ImportData_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(ImportDataRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(AutoMlServer).ImportData(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.automl.v1.AutoMl/ImportData", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(AutoMlServer).ImportData(ctx, req.(*ImportDataRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _AutoMl_ExportData_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(ExportDataRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(AutoMlServer).ExportData(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.automl.v1.AutoMl/ExportData", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(AutoMlServer).ExportData(ctx, req.(*ExportDataRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _AutoMl_GetAnnotationSpec_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(GetAnnotationSpecRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(AutoMlServer).GetAnnotationSpec(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.automl.v1.AutoMl/GetAnnotationSpec", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(AutoMlServer).GetAnnotationSpec(ctx, req.(*GetAnnotationSpecRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _AutoMl_CreateModel_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(CreateModelRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(AutoMlServer).CreateModel(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.automl.v1.AutoMl/CreateModel", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(AutoMlServer).CreateModel(ctx, req.(*CreateModelRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _AutoMl_GetModel_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(GetModelRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(AutoMlServer).GetModel(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.automl.v1.AutoMl/GetModel", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(AutoMlServer).GetModel(ctx, req.(*GetModelRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _AutoMl_ListModels_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(ListModelsRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(AutoMlServer).ListModels(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.automl.v1.AutoMl/ListModels", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(AutoMlServer).ListModels(ctx, req.(*ListModelsRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _AutoMl_DeleteModel_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(DeleteModelRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(AutoMlServer).DeleteModel(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.automl.v1.AutoMl/DeleteModel", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(AutoMlServer).DeleteModel(ctx, req.(*DeleteModelRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _AutoMl_UpdateModel_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(UpdateModelRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(AutoMlServer).UpdateModel(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.automl.v1.AutoMl/UpdateModel", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(AutoMlServer).UpdateModel(ctx, req.(*UpdateModelRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _AutoMl_DeployModel_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(DeployModelRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(AutoMlServer).DeployModel(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.automl.v1.AutoMl/DeployModel", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(AutoMlServer).DeployModel(ctx, req.(*DeployModelRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _AutoMl_UndeployModel_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(UndeployModelRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(AutoMlServer).UndeployModel(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.automl.v1.AutoMl/UndeployModel", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(AutoMlServer).UndeployModel(ctx, req.(*UndeployModelRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _AutoMl_ExportModel_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(ExportModelRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(AutoMlServer).ExportModel(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.automl.v1.AutoMl/ExportModel", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(AutoMlServer).ExportModel(ctx, req.(*ExportModelRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _AutoMl_GetModelEvaluation_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(GetModelEvaluationRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(AutoMlServer).GetModelEvaluation(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.automl.v1.AutoMl/GetModelEvaluation", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(AutoMlServer).GetModelEvaluation(ctx, req.(*GetModelEvaluationRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _AutoMl_ListModelEvaluations_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(ListModelEvaluationsRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(AutoMlServer).ListModelEvaluations(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.automl.v1.AutoMl/ListModelEvaluations", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(AutoMlServer).ListModelEvaluations(ctx, req.(*ListModelEvaluationsRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| var _AutoMl_serviceDesc = grpc.ServiceDesc{ |
| ServiceName: "google.cloud.automl.v1.AutoMl", |
| HandlerType: (*AutoMlServer)(nil), |
| Methods: []grpc.MethodDesc{ |
| { |
| MethodName: "CreateDataset", |
| Handler: _AutoMl_CreateDataset_Handler, |
| }, |
| { |
| MethodName: "GetDataset", |
| Handler: _AutoMl_GetDataset_Handler, |
| }, |
| { |
| MethodName: "ListDatasets", |
| Handler: _AutoMl_ListDatasets_Handler, |
| }, |
| { |
| MethodName: "UpdateDataset", |
| Handler: _AutoMl_UpdateDataset_Handler, |
| }, |
| { |
| MethodName: "DeleteDataset", |
| Handler: _AutoMl_DeleteDataset_Handler, |
| }, |
| { |
| MethodName: "ImportData", |
| Handler: _AutoMl_ImportData_Handler, |
| }, |
| { |
| MethodName: "ExportData", |
| Handler: _AutoMl_ExportData_Handler, |
| }, |
| { |
| MethodName: "GetAnnotationSpec", |
| Handler: _AutoMl_GetAnnotationSpec_Handler, |
| }, |
| { |
| MethodName: "CreateModel", |
| Handler: _AutoMl_CreateModel_Handler, |
| }, |
| { |
| MethodName: "GetModel", |
| Handler: _AutoMl_GetModel_Handler, |
| }, |
| { |
| MethodName: "ListModels", |
| Handler: _AutoMl_ListModels_Handler, |
| }, |
| { |
| MethodName: "DeleteModel", |
| Handler: _AutoMl_DeleteModel_Handler, |
| }, |
| { |
| MethodName: "UpdateModel", |
| Handler: _AutoMl_UpdateModel_Handler, |
| }, |
| { |
| MethodName: "DeployModel", |
| Handler: _AutoMl_DeployModel_Handler, |
| }, |
| { |
| MethodName: "UndeployModel", |
| Handler: _AutoMl_UndeployModel_Handler, |
| }, |
| { |
| MethodName: "ExportModel", |
| Handler: _AutoMl_ExportModel_Handler, |
| }, |
| { |
| MethodName: "GetModelEvaluation", |
| Handler: _AutoMl_GetModelEvaluation_Handler, |
| }, |
| { |
| MethodName: "ListModelEvaluations", |
| Handler: _AutoMl_ListModelEvaluations_Handler, |
| }, |
| }, |
| Streams: []grpc.StreamDesc{}, |
| Metadata: "google/cloud/automl/v1/service.proto", |
| } |