| // Copyright 2020 Google LLC |
| // |
| // Licensed under the Apache License, Version 2.0 (the "License"); |
| // you may not use this file except in compliance with the License. |
| // You may obtain a copy of the License at |
| // |
| // http://www.apache.org/licenses/LICENSE-2.0 |
| // |
| // Unless required by applicable law or agreed to in writing, software |
| // distributed under the License is distributed on an "AS IS" BASIS, |
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| // See the License for the specific language governing permissions and |
| // limitations under the License. |
| |
| // Code generated by protoc-gen-go. DO NOT EDIT. |
| // versions: |
| // protoc-gen-go v1.22.0 |
| // protoc v3.12.2 |
| // source: google/cloud/automl/v1beta1/service.proto |
| |
| package automl |
| |
| import ( |
| context "context" |
| reflect "reflect" |
| sync "sync" |
| |
| 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" |
| protoreflect "google.golang.org/protobuf/reflect/protoreflect" |
| protoimpl "google.golang.org/protobuf/runtime/protoimpl" |
| ) |
| |
| const ( |
| // Verify that this generated code is sufficiently up-to-date. |
| _ = protoimpl.EnforceVersion(20 - protoimpl.MinVersion) |
| // Verify that runtime/protoimpl is sufficiently up-to-date. |
| _ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20) |
| ) |
| |
| // This is a compile-time assertion that a sufficiently up-to-date version |
| // of the legacy proto package is being used. |
| const _ = proto.ProtoPackageIsVersion4 |
| |
| // Request message for [AutoMl.CreateDataset][google.cloud.automl.v1beta1.AutoMl.CreateDataset]. |
| type CreateDatasetRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. The resource name of the project to create the dataset for. |
| Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"` |
| // Required. The dataset to create. |
| Dataset *Dataset `protobuf:"bytes,2,opt,name=dataset,proto3" json:"dataset,omitempty"` |
| } |
| |
| func (x *CreateDatasetRequest) Reset() { |
| *x = CreateDatasetRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[0] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *CreateDatasetRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*CreateDatasetRequest) ProtoMessage() {} |
| |
| func (x *CreateDatasetRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[0] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use CreateDatasetRequest.ProtoReflect.Descriptor instead. |
| func (*CreateDatasetRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1beta1_service_proto_rawDescGZIP(), []int{0} |
| } |
| |
| func (x *CreateDatasetRequest) GetParent() string { |
| if x != nil { |
| return x.Parent |
| } |
| return "" |
| } |
| |
| func (x *CreateDatasetRequest) GetDataset() *Dataset { |
| if x != nil { |
| return x.Dataset |
| } |
| return nil |
| } |
| |
| // Request message for [AutoMl.GetDataset][google.cloud.automl.v1beta1.AutoMl.GetDataset]. |
| type GetDatasetRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. The resource name of the dataset to retrieve. |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| } |
| |
| func (x *GetDatasetRequest) Reset() { |
| *x = GetDatasetRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[1] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *GetDatasetRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*GetDatasetRequest) ProtoMessage() {} |
| |
| func (x *GetDatasetRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[1] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use GetDatasetRequest.ProtoReflect.Descriptor instead. |
| func (*GetDatasetRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1beta1_service_proto_rawDescGZIP(), []int{1} |
| } |
| |
| func (x *GetDatasetRequest) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| // Request message for [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets]. |
| type ListDatasetsRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. 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.v1beta1.ListDatasetsResponse.next_page_token] of the previous |
| // [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets] call. |
| PageToken string `protobuf:"bytes,6,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"` |
| } |
| |
| func (x *ListDatasetsRequest) Reset() { |
| *x = ListDatasetsRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[2] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ListDatasetsRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ListDatasetsRequest) ProtoMessage() {} |
| |
| func (x *ListDatasetsRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[2] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ListDatasetsRequest.ProtoReflect.Descriptor instead. |
| func (*ListDatasetsRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1beta1_service_proto_rawDescGZIP(), []int{2} |
| } |
| |
| func (x *ListDatasetsRequest) GetParent() string { |
| if x != nil { |
| return x.Parent |
| } |
| return "" |
| } |
| |
| func (x *ListDatasetsRequest) GetFilter() string { |
| if x != nil { |
| return x.Filter |
| } |
| return "" |
| } |
| |
| func (x *ListDatasetsRequest) GetPageSize() int32 { |
| if x != nil { |
| return x.PageSize |
| } |
| return 0 |
| } |
| |
| func (x *ListDatasetsRequest) GetPageToken() string { |
| if x != nil { |
| return x.PageToken |
| } |
| return "" |
| } |
| |
| // Response message for [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets]. |
| type ListDatasetsResponse struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // 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.v1beta1.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"` |
| } |
| |
| func (x *ListDatasetsResponse) Reset() { |
| *x = ListDatasetsResponse{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[3] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ListDatasetsResponse) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ListDatasetsResponse) ProtoMessage() {} |
| |
| func (x *ListDatasetsResponse) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[3] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ListDatasetsResponse.ProtoReflect.Descriptor instead. |
| func (*ListDatasetsResponse) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1beta1_service_proto_rawDescGZIP(), []int{3} |
| } |
| |
| func (x *ListDatasetsResponse) GetDatasets() []*Dataset { |
| if x != nil { |
| return x.Datasets |
| } |
| return nil |
| } |
| |
| func (x *ListDatasetsResponse) GetNextPageToken() string { |
| if x != nil { |
| return x.NextPageToken |
| } |
| return "" |
| } |
| |
| // Request message for [AutoMl.UpdateDataset][google.cloud.automl.v1beta1.AutoMl.UpdateDataset] |
| type UpdateDatasetRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. The dataset which replaces the resource on the server. |
| Dataset *Dataset `protobuf:"bytes,1,opt,name=dataset,proto3" json:"dataset,omitempty"` |
| // 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"` |
| } |
| |
| func (x *UpdateDatasetRequest) Reset() { |
| *x = UpdateDatasetRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[4] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *UpdateDatasetRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*UpdateDatasetRequest) ProtoMessage() {} |
| |
| func (x *UpdateDatasetRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[4] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use UpdateDatasetRequest.ProtoReflect.Descriptor instead. |
| func (*UpdateDatasetRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1beta1_service_proto_rawDescGZIP(), []int{4} |
| } |
| |
| func (x *UpdateDatasetRequest) GetDataset() *Dataset { |
| if x != nil { |
| return x.Dataset |
| } |
| return nil |
| } |
| |
| func (x *UpdateDatasetRequest) GetUpdateMask() *field_mask.FieldMask { |
| if x != nil { |
| return x.UpdateMask |
| } |
| return nil |
| } |
| |
| // Request message for [AutoMl.DeleteDataset][google.cloud.automl.v1beta1.AutoMl.DeleteDataset]. |
| type DeleteDatasetRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. The resource name of the dataset to delete. |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| } |
| |
| func (x *DeleteDatasetRequest) Reset() { |
| *x = DeleteDatasetRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[5] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *DeleteDatasetRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*DeleteDatasetRequest) ProtoMessage() {} |
| |
| func (x *DeleteDatasetRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[5] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use DeleteDatasetRequest.ProtoReflect.Descriptor instead. |
| func (*DeleteDatasetRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1beta1_service_proto_rawDescGZIP(), []int{5} |
| } |
| |
| func (x *DeleteDatasetRequest) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| // Request message for [AutoMl.ImportData][google.cloud.automl.v1beta1.AutoMl.ImportData]. |
| type ImportDataRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // 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"` |
| } |
| |
| func (x *ImportDataRequest) Reset() { |
| *x = ImportDataRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[6] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ImportDataRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ImportDataRequest) ProtoMessage() {} |
| |
| func (x *ImportDataRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[6] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ImportDataRequest.ProtoReflect.Descriptor instead. |
| func (*ImportDataRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1beta1_service_proto_rawDescGZIP(), []int{6} |
| } |
| |
| func (x *ImportDataRequest) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| func (x *ImportDataRequest) GetInputConfig() *InputConfig { |
| if x != nil { |
| return x.InputConfig |
| } |
| return nil |
| } |
| |
| // Request message for [AutoMl.ExportData][google.cloud.automl.v1beta1.AutoMl.ExportData]. |
| type ExportDataRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // 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"` |
| } |
| |
| func (x *ExportDataRequest) Reset() { |
| *x = ExportDataRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[7] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ExportDataRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ExportDataRequest) ProtoMessage() {} |
| |
| func (x *ExportDataRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[7] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ExportDataRequest.ProtoReflect.Descriptor instead. |
| func (*ExportDataRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1beta1_service_proto_rawDescGZIP(), []int{7} |
| } |
| |
| func (x *ExportDataRequest) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| func (x *ExportDataRequest) GetOutputConfig() *OutputConfig { |
| if x != nil { |
| return x.OutputConfig |
| } |
| return nil |
| } |
| |
| // Request message for [AutoMl.GetAnnotationSpec][google.cloud.automl.v1beta1.AutoMl.GetAnnotationSpec]. |
| type GetAnnotationSpecRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. The resource name of the annotation spec to retrieve. |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| } |
| |
| func (x *GetAnnotationSpecRequest) Reset() { |
| *x = GetAnnotationSpecRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[8] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *GetAnnotationSpecRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*GetAnnotationSpecRequest) ProtoMessage() {} |
| |
| func (x *GetAnnotationSpecRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[8] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use GetAnnotationSpecRequest.ProtoReflect.Descriptor instead. |
| func (*GetAnnotationSpecRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1beta1_service_proto_rawDescGZIP(), []int{8} |
| } |
| |
| func (x *GetAnnotationSpecRequest) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| // Request message for [AutoMl.GetTableSpec][google.cloud.automl.v1beta1.AutoMl.GetTableSpec]. |
| type GetTableSpecRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. The resource name of the table spec to retrieve. |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| // Mask specifying which fields to read. |
| FieldMask *field_mask.FieldMask `protobuf:"bytes,2,opt,name=field_mask,json=fieldMask,proto3" json:"field_mask,omitempty"` |
| } |
| |
| func (x *GetTableSpecRequest) Reset() { |
| *x = GetTableSpecRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[9] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *GetTableSpecRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*GetTableSpecRequest) ProtoMessage() {} |
| |
| func (x *GetTableSpecRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[9] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use GetTableSpecRequest.ProtoReflect.Descriptor instead. |
| func (*GetTableSpecRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1beta1_service_proto_rawDescGZIP(), []int{9} |
| } |
| |
| func (x *GetTableSpecRequest) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| func (x *GetTableSpecRequest) GetFieldMask() *field_mask.FieldMask { |
| if x != nil { |
| return x.FieldMask |
| } |
| return nil |
| } |
| |
| // Request message for [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs]. |
| type ListTableSpecsRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. The resource name of the dataset to list table specs from. |
| Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"` |
| // Mask specifying which fields to read. |
| FieldMask *field_mask.FieldMask `protobuf:"bytes,2,opt,name=field_mask,json=fieldMask,proto3" json:"field_mask,omitempty"` |
| // Filter expression, see go/filtering. |
| Filter string `protobuf:"bytes,3,opt,name=filter,proto3" json:"filter,omitempty"` |
| // Requested page size. The server can return fewer results than requested. |
| // If unspecified, the 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 from the |
| // [ListTableSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListTableSpecsResponse.next_page_token] field of the previous |
| // [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs] call. |
| PageToken string `protobuf:"bytes,6,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"` |
| } |
| |
| func (x *ListTableSpecsRequest) Reset() { |
| *x = ListTableSpecsRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[10] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ListTableSpecsRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ListTableSpecsRequest) ProtoMessage() {} |
| |
| func (x *ListTableSpecsRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[10] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ListTableSpecsRequest.ProtoReflect.Descriptor instead. |
| func (*ListTableSpecsRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1beta1_service_proto_rawDescGZIP(), []int{10} |
| } |
| |
| func (x *ListTableSpecsRequest) GetParent() string { |
| if x != nil { |
| return x.Parent |
| } |
| return "" |
| } |
| |
| func (x *ListTableSpecsRequest) GetFieldMask() *field_mask.FieldMask { |
| if x != nil { |
| return x.FieldMask |
| } |
| return nil |
| } |
| |
| func (x *ListTableSpecsRequest) GetFilter() string { |
| if x != nil { |
| return x.Filter |
| } |
| return "" |
| } |
| |
| func (x *ListTableSpecsRequest) GetPageSize() int32 { |
| if x != nil { |
| return x.PageSize |
| } |
| return 0 |
| } |
| |
| func (x *ListTableSpecsRequest) GetPageToken() string { |
| if x != nil { |
| return x.PageToken |
| } |
| return "" |
| } |
| |
| // Response message for [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs]. |
| type ListTableSpecsResponse struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The table specs read. |
| TableSpecs []*TableSpec `protobuf:"bytes,1,rep,name=table_specs,json=tableSpecs,proto3" json:"table_specs,omitempty"` |
| // A token to retrieve next page of results. |
| // Pass to [ListTableSpecsRequest.page_token][google.cloud.automl.v1beta1.ListTableSpecsRequest.page_token] to obtain that page. |
| NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"` |
| } |
| |
| func (x *ListTableSpecsResponse) Reset() { |
| *x = ListTableSpecsResponse{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[11] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ListTableSpecsResponse) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ListTableSpecsResponse) ProtoMessage() {} |
| |
| func (x *ListTableSpecsResponse) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[11] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ListTableSpecsResponse.ProtoReflect.Descriptor instead. |
| func (*ListTableSpecsResponse) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1beta1_service_proto_rawDescGZIP(), []int{11} |
| } |
| |
| func (x *ListTableSpecsResponse) GetTableSpecs() []*TableSpec { |
| if x != nil { |
| return x.TableSpecs |
| } |
| return nil |
| } |
| |
| func (x *ListTableSpecsResponse) GetNextPageToken() string { |
| if x != nil { |
| return x.NextPageToken |
| } |
| return "" |
| } |
| |
| // Request message for [AutoMl.UpdateTableSpec][google.cloud.automl.v1beta1.AutoMl.UpdateTableSpec] |
| type UpdateTableSpecRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. The table spec which replaces the resource on the server. |
| TableSpec *TableSpec `protobuf:"bytes,1,opt,name=table_spec,json=tableSpec,proto3" json:"table_spec,omitempty"` |
| // 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"` |
| } |
| |
| func (x *UpdateTableSpecRequest) Reset() { |
| *x = UpdateTableSpecRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[12] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *UpdateTableSpecRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*UpdateTableSpecRequest) ProtoMessage() {} |
| |
| func (x *UpdateTableSpecRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[12] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use UpdateTableSpecRequest.ProtoReflect.Descriptor instead. |
| func (*UpdateTableSpecRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1beta1_service_proto_rawDescGZIP(), []int{12} |
| } |
| |
| func (x *UpdateTableSpecRequest) GetTableSpec() *TableSpec { |
| if x != nil { |
| return x.TableSpec |
| } |
| return nil |
| } |
| |
| func (x *UpdateTableSpecRequest) GetUpdateMask() *field_mask.FieldMask { |
| if x != nil { |
| return x.UpdateMask |
| } |
| return nil |
| } |
| |
| // Request message for [AutoMl.GetColumnSpec][google.cloud.automl.v1beta1.AutoMl.GetColumnSpec]. |
| type GetColumnSpecRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. The resource name of the column spec to retrieve. |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| // Mask specifying which fields to read. |
| FieldMask *field_mask.FieldMask `protobuf:"bytes,2,opt,name=field_mask,json=fieldMask,proto3" json:"field_mask,omitempty"` |
| } |
| |
| func (x *GetColumnSpecRequest) Reset() { |
| *x = GetColumnSpecRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[13] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *GetColumnSpecRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*GetColumnSpecRequest) ProtoMessage() {} |
| |
| func (x *GetColumnSpecRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[13] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use GetColumnSpecRequest.ProtoReflect.Descriptor instead. |
| func (*GetColumnSpecRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1beta1_service_proto_rawDescGZIP(), []int{13} |
| } |
| |
| func (x *GetColumnSpecRequest) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| func (x *GetColumnSpecRequest) GetFieldMask() *field_mask.FieldMask { |
| if x != nil { |
| return x.FieldMask |
| } |
| return nil |
| } |
| |
| // Request message for [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs]. |
| type ListColumnSpecsRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. The resource name of the table spec to list column specs from. |
| Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"` |
| // Mask specifying which fields to read. |
| FieldMask *field_mask.FieldMask `protobuf:"bytes,2,opt,name=field_mask,json=fieldMask,proto3" json:"field_mask,omitempty"` |
| // Filter expression, see go/filtering. |
| Filter string `protobuf:"bytes,3,opt,name=filter,proto3" json:"filter,omitempty"` |
| // Requested page size. The server can return fewer results than requested. |
| // If unspecified, the 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 from the |
| // [ListColumnSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListColumnSpecsResponse.next_page_token] field of the previous |
| // [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs] call. |
| PageToken string `protobuf:"bytes,6,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"` |
| } |
| |
| func (x *ListColumnSpecsRequest) Reset() { |
| *x = ListColumnSpecsRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[14] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ListColumnSpecsRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ListColumnSpecsRequest) ProtoMessage() {} |
| |
| func (x *ListColumnSpecsRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[14] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ListColumnSpecsRequest.ProtoReflect.Descriptor instead. |
| func (*ListColumnSpecsRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1beta1_service_proto_rawDescGZIP(), []int{14} |
| } |
| |
| func (x *ListColumnSpecsRequest) GetParent() string { |
| if x != nil { |
| return x.Parent |
| } |
| return "" |
| } |
| |
| func (x *ListColumnSpecsRequest) GetFieldMask() *field_mask.FieldMask { |
| if x != nil { |
| return x.FieldMask |
| } |
| return nil |
| } |
| |
| func (x *ListColumnSpecsRequest) GetFilter() string { |
| if x != nil { |
| return x.Filter |
| } |
| return "" |
| } |
| |
| func (x *ListColumnSpecsRequest) GetPageSize() int32 { |
| if x != nil { |
| return x.PageSize |
| } |
| return 0 |
| } |
| |
| func (x *ListColumnSpecsRequest) GetPageToken() string { |
| if x != nil { |
| return x.PageToken |
| } |
| return "" |
| } |
| |
| // Response message for [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs]. |
| type ListColumnSpecsResponse struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The column specs read. |
| ColumnSpecs []*ColumnSpec `protobuf:"bytes,1,rep,name=column_specs,json=columnSpecs,proto3" json:"column_specs,omitempty"` |
| // A token to retrieve next page of results. |
| // Pass to [ListColumnSpecsRequest.page_token][google.cloud.automl.v1beta1.ListColumnSpecsRequest.page_token] to obtain that page. |
| NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"` |
| } |
| |
| func (x *ListColumnSpecsResponse) Reset() { |
| *x = ListColumnSpecsResponse{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[15] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ListColumnSpecsResponse) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ListColumnSpecsResponse) ProtoMessage() {} |
| |
| func (x *ListColumnSpecsResponse) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[15] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ListColumnSpecsResponse.ProtoReflect.Descriptor instead. |
| func (*ListColumnSpecsResponse) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1beta1_service_proto_rawDescGZIP(), []int{15} |
| } |
| |
| func (x *ListColumnSpecsResponse) GetColumnSpecs() []*ColumnSpec { |
| if x != nil { |
| return x.ColumnSpecs |
| } |
| return nil |
| } |
| |
| func (x *ListColumnSpecsResponse) GetNextPageToken() string { |
| if x != nil { |
| return x.NextPageToken |
| } |
| return "" |
| } |
| |
| // Request message for [AutoMl.UpdateColumnSpec][google.cloud.automl.v1beta1.AutoMl.UpdateColumnSpec] |
| type UpdateColumnSpecRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. The column spec which replaces the resource on the server. |
| ColumnSpec *ColumnSpec `protobuf:"bytes,1,opt,name=column_spec,json=columnSpec,proto3" json:"column_spec,omitempty"` |
| // 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"` |
| } |
| |
| func (x *UpdateColumnSpecRequest) Reset() { |
| *x = UpdateColumnSpecRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[16] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *UpdateColumnSpecRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*UpdateColumnSpecRequest) ProtoMessage() {} |
| |
| func (x *UpdateColumnSpecRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[16] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use UpdateColumnSpecRequest.ProtoReflect.Descriptor instead. |
| func (*UpdateColumnSpecRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1beta1_service_proto_rawDescGZIP(), []int{16} |
| } |
| |
| func (x *UpdateColumnSpecRequest) GetColumnSpec() *ColumnSpec { |
| if x != nil { |
| return x.ColumnSpec |
| } |
| return nil |
| } |
| |
| func (x *UpdateColumnSpecRequest) GetUpdateMask() *field_mask.FieldMask { |
| if x != nil { |
| return x.UpdateMask |
| } |
| return nil |
| } |
| |
| // Request message for [AutoMl.CreateModel][google.cloud.automl.v1beta1.AutoMl.CreateModel]. |
| type CreateModelRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. Resource name of the parent project where the model is being created. |
| Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"` |
| // Required. The model to create. |
| Model *Model `protobuf:"bytes,4,opt,name=model,proto3" json:"model,omitempty"` |
| } |
| |
| func (x *CreateModelRequest) Reset() { |
| *x = CreateModelRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[17] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *CreateModelRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*CreateModelRequest) ProtoMessage() {} |
| |
| func (x *CreateModelRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[17] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use CreateModelRequest.ProtoReflect.Descriptor instead. |
| func (*CreateModelRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1beta1_service_proto_rawDescGZIP(), []int{17} |
| } |
| |
| func (x *CreateModelRequest) GetParent() string { |
| if x != nil { |
| return x.Parent |
| } |
| return "" |
| } |
| |
| func (x *CreateModelRequest) GetModel() *Model { |
| if x != nil { |
| return x.Model |
| } |
| return nil |
| } |
| |
| // Request message for [AutoMl.GetModel][google.cloud.automl.v1beta1.AutoMl.GetModel]. |
| type GetModelRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. Resource name of the model. |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| } |
| |
| func (x *GetModelRequest) Reset() { |
| *x = GetModelRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[18] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *GetModelRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*GetModelRequest) ProtoMessage() {} |
| |
| func (x *GetModelRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[18] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use GetModelRequest.ProtoReflect.Descriptor instead. |
| func (*GetModelRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1beta1_service_proto_rawDescGZIP(), []int{18} |
| } |
| |
| func (x *GetModelRequest) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| // Request message for [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels]. |
| type ListModelsRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. 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. |
| // video_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.v1beta1.ListModelsResponse.next_page_token] of the previous |
| // [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels] call. |
| PageToken string `protobuf:"bytes,6,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"` |
| } |
| |
| func (x *ListModelsRequest) Reset() { |
| *x = ListModelsRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[19] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ListModelsRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ListModelsRequest) ProtoMessage() {} |
| |
| func (x *ListModelsRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[19] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ListModelsRequest.ProtoReflect.Descriptor instead. |
| func (*ListModelsRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1beta1_service_proto_rawDescGZIP(), []int{19} |
| } |
| |
| func (x *ListModelsRequest) GetParent() string { |
| if x != nil { |
| return x.Parent |
| } |
| return "" |
| } |
| |
| func (x *ListModelsRequest) GetFilter() string { |
| if x != nil { |
| return x.Filter |
| } |
| return "" |
| } |
| |
| func (x *ListModelsRequest) GetPageSize() int32 { |
| if x != nil { |
| return x.PageSize |
| } |
| return 0 |
| } |
| |
| func (x *ListModelsRequest) GetPageToken() string { |
| if x != nil { |
| return x.PageToken |
| } |
| return "" |
| } |
| |
| // Response message for [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels]. |
| type ListModelsResponse struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // 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.v1beta1.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"` |
| } |
| |
| func (x *ListModelsResponse) Reset() { |
| *x = ListModelsResponse{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[20] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ListModelsResponse) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ListModelsResponse) ProtoMessage() {} |
| |
| func (x *ListModelsResponse) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[20] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ListModelsResponse.ProtoReflect.Descriptor instead. |
| func (*ListModelsResponse) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1beta1_service_proto_rawDescGZIP(), []int{20} |
| } |
| |
| func (x *ListModelsResponse) GetModel() []*Model { |
| if x != nil { |
| return x.Model |
| } |
| return nil |
| } |
| |
| func (x *ListModelsResponse) GetNextPageToken() string { |
| if x != nil { |
| return x.NextPageToken |
| } |
| return "" |
| } |
| |
| // Request message for [AutoMl.DeleteModel][google.cloud.automl.v1beta1.AutoMl.DeleteModel]. |
| type DeleteModelRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. Resource name of the model being deleted. |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| } |
| |
| func (x *DeleteModelRequest) Reset() { |
| *x = DeleteModelRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[21] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *DeleteModelRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*DeleteModelRequest) ProtoMessage() {} |
| |
| func (x *DeleteModelRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[21] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use DeleteModelRequest.ProtoReflect.Descriptor instead. |
| func (*DeleteModelRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1beta1_service_proto_rawDescGZIP(), []int{21} |
| } |
| |
| func (x *DeleteModelRequest) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| // Request message for [AutoMl.DeployModel][google.cloud.automl.v1beta1.AutoMl.DeployModel]. |
| type DeployModelRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The per-domain specific deployment parameters. |
| // |
| // Types that are assignable to ModelDeploymentMetadata: |
| // *DeployModelRequest_ImageObjectDetectionModelDeploymentMetadata |
| // *DeployModelRequest_ImageClassificationModelDeploymentMetadata |
| ModelDeploymentMetadata isDeployModelRequest_ModelDeploymentMetadata `protobuf_oneof:"model_deployment_metadata"` |
| // Required. Resource name of the model to deploy. |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| } |
| |
| func (x *DeployModelRequest) Reset() { |
| *x = DeployModelRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[22] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *DeployModelRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*DeployModelRequest) ProtoMessage() {} |
| |
| func (x *DeployModelRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[22] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use DeployModelRequest.ProtoReflect.Descriptor instead. |
| func (*DeployModelRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1beta1_service_proto_rawDescGZIP(), []int{22} |
| } |
| |
| func (m *DeployModelRequest) GetModelDeploymentMetadata() isDeployModelRequest_ModelDeploymentMetadata { |
| if m != nil { |
| return m.ModelDeploymentMetadata |
| } |
| return nil |
| } |
| |
| func (x *DeployModelRequest) GetImageObjectDetectionModelDeploymentMetadata() *ImageObjectDetectionModelDeploymentMetadata { |
| if x, ok := x.GetModelDeploymentMetadata().(*DeployModelRequest_ImageObjectDetectionModelDeploymentMetadata); ok { |
| return x.ImageObjectDetectionModelDeploymentMetadata |
| } |
| return nil |
| } |
| |
| func (x *DeployModelRequest) GetImageClassificationModelDeploymentMetadata() *ImageClassificationModelDeploymentMetadata { |
| if x, ok := x.GetModelDeploymentMetadata().(*DeployModelRequest_ImageClassificationModelDeploymentMetadata); ok { |
| return x.ImageClassificationModelDeploymentMetadata |
| } |
| return nil |
| } |
| |
| func (x *DeployModelRequest) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| type isDeployModelRequest_ModelDeploymentMetadata interface { |
| isDeployModelRequest_ModelDeploymentMetadata() |
| } |
| |
| type DeployModelRequest_ImageObjectDetectionModelDeploymentMetadata struct { |
| // Model deployment metadata specific to Image Object Detection. |
| ImageObjectDetectionModelDeploymentMetadata *ImageObjectDetectionModelDeploymentMetadata `protobuf:"bytes,2,opt,name=image_object_detection_model_deployment_metadata,json=imageObjectDetectionModelDeploymentMetadata,proto3,oneof"` |
| } |
| |
| type DeployModelRequest_ImageClassificationModelDeploymentMetadata struct { |
| // Model deployment metadata specific to Image Classification. |
| 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() { |
| } |
| |
| // Request message for [AutoMl.UndeployModel][google.cloud.automl.v1beta1.AutoMl.UndeployModel]. |
| type UndeployModelRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. Resource name of the model to undeploy. |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| } |
| |
| func (x *UndeployModelRequest) Reset() { |
| *x = UndeployModelRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[23] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *UndeployModelRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*UndeployModelRequest) ProtoMessage() {} |
| |
| func (x *UndeployModelRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[23] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use UndeployModelRequest.ProtoReflect.Descriptor instead. |
| func (*UndeployModelRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1beta1_service_proto_rawDescGZIP(), []int{23} |
| } |
| |
| func (x *UndeployModelRequest) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| // Request message for [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]. |
| // Models need to be enabled for exporting, otherwise an error code will be |
| // returned. |
| type ExportModelRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // 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"` |
| } |
| |
| func (x *ExportModelRequest) Reset() { |
| *x = ExportModelRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[24] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ExportModelRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ExportModelRequest) ProtoMessage() {} |
| |
| func (x *ExportModelRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[24] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ExportModelRequest.ProtoReflect.Descriptor instead. |
| func (*ExportModelRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1beta1_service_proto_rawDescGZIP(), []int{24} |
| } |
| |
| func (x *ExportModelRequest) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| func (x *ExportModelRequest) GetOutputConfig() *ModelExportOutputConfig { |
| if x != nil { |
| return x.OutputConfig |
| } |
| return nil |
| } |
| |
| // Request message for [AutoMl.ExportEvaluatedExamples][google.cloud.automl.v1beta1.AutoMl.ExportEvaluatedExamples]. |
| type ExportEvaluatedExamplesRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. The resource name of the model whose evaluated examples are to |
| // be exported. |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| // Required. The desired output location and configuration. |
| OutputConfig *ExportEvaluatedExamplesOutputConfig `protobuf:"bytes,3,opt,name=output_config,json=outputConfig,proto3" json:"output_config,omitempty"` |
| } |
| |
| func (x *ExportEvaluatedExamplesRequest) Reset() { |
| *x = ExportEvaluatedExamplesRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[25] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ExportEvaluatedExamplesRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ExportEvaluatedExamplesRequest) ProtoMessage() {} |
| |
| func (x *ExportEvaluatedExamplesRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[25] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ExportEvaluatedExamplesRequest.ProtoReflect.Descriptor instead. |
| func (*ExportEvaluatedExamplesRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1beta1_service_proto_rawDescGZIP(), []int{25} |
| } |
| |
| func (x *ExportEvaluatedExamplesRequest) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| func (x *ExportEvaluatedExamplesRequest) GetOutputConfig() *ExportEvaluatedExamplesOutputConfig { |
| if x != nil { |
| return x.OutputConfig |
| } |
| return nil |
| } |
| |
| // Request message for [AutoMl.GetModelEvaluation][google.cloud.automl.v1beta1.AutoMl.GetModelEvaluation]. |
| type GetModelEvaluationRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. Resource name for the model evaluation. |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| } |
| |
| func (x *GetModelEvaluationRequest) Reset() { |
| *x = GetModelEvaluationRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[26] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *GetModelEvaluationRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*GetModelEvaluationRequest) ProtoMessage() {} |
| |
| func (x *GetModelEvaluationRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[26] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use GetModelEvaluationRequest.ProtoReflect.Descriptor instead. |
| func (*GetModelEvaluationRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1beta1_service_proto_rawDescGZIP(), []int{26} |
| } |
| |
| func (x *GetModelEvaluationRequest) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| // Request message for [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations]. |
| type ListModelEvaluationsRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. 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.v1beta1.ListModelEvaluationsResponse.next_page_token] of the previous |
| // [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] call. |
| PageToken string `protobuf:"bytes,6,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"` |
| } |
| |
| func (x *ListModelEvaluationsRequest) Reset() { |
| *x = ListModelEvaluationsRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[27] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ListModelEvaluationsRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ListModelEvaluationsRequest) ProtoMessage() {} |
| |
| func (x *ListModelEvaluationsRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[27] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ListModelEvaluationsRequest.ProtoReflect.Descriptor instead. |
| func (*ListModelEvaluationsRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1beta1_service_proto_rawDescGZIP(), []int{27} |
| } |
| |
| func (x *ListModelEvaluationsRequest) GetParent() string { |
| if x != nil { |
| return x.Parent |
| } |
| return "" |
| } |
| |
| func (x *ListModelEvaluationsRequest) GetFilter() string { |
| if x != nil { |
| return x.Filter |
| } |
| return "" |
| } |
| |
| func (x *ListModelEvaluationsRequest) GetPageSize() int32 { |
| if x != nil { |
| return x.PageSize |
| } |
| return 0 |
| } |
| |
| func (x *ListModelEvaluationsRequest) GetPageToken() string { |
| if x != nil { |
| return x.PageToken |
| } |
| return "" |
| } |
| |
| // Response message for [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations]. |
| type ListModelEvaluationsResponse struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // 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.v1beta1.ListModelEvaluationsRequest.page_token] field of a new |
| // [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.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"` |
| } |
| |
| func (x *ListModelEvaluationsResponse) Reset() { |
| *x = ListModelEvaluationsResponse{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[28] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ListModelEvaluationsResponse) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ListModelEvaluationsResponse) ProtoMessage() {} |
| |
| func (x *ListModelEvaluationsResponse) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1beta1_service_proto_msgTypes[28] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ListModelEvaluationsResponse.ProtoReflect.Descriptor instead. |
| func (*ListModelEvaluationsResponse) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1beta1_service_proto_rawDescGZIP(), []int{28} |
| } |
| |
| func (x *ListModelEvaluationsResponse) GetModelEvaluation() []*ModelEvaluation { |
| if x != nil { |
| return x.ModelEvaluation |
| } |
| return nil |
| } |
| |
| func (x *ListModelEvaluationsResponse) GetNextPageToken() string { |
| if x != nil { |
| return x.NextPageToken |
| } |
| return "" |
| } |
| |
| var File_google_cloud_automl_v1beta1_service_proto protoreflect.FileDescriptor |
| |
| var file_google_cloud_automl_v1beta1_service_proto_rawDesc = []byte{ |
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| 0x74, 0x6f, 0x4d, 0x6c, 0x5c, 0x56, 0x31, 0x62, 0x65, 0x74, 0x61, 0x31, 0xea, 0x02, 0x1e, 0x47, |
| 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x3a, 0x3a, 0x43, 0x6c, 0x6f, 0x75, 0x64, 0x3a, 0x3a, 0x41, 0x75, |
| 0x74, 0x6f, 0x4d, 0x4c, 0x3a, 0x3a, 0x56, 0x31, 0x62, 0x65, 0x74, 0x61, 0x31, 0x62, 0x06, 0x70, |
| 0x72, 0x6f, 0x74, 0x6f, 0x33, |
| } |
| |
| var ( |
| file_google_cloud_automl_v1beta1_service_proto_rawDescOnce sync.Once |
| file_google_cloud_automl_v1beta1_service_proto_rawDescData = file_google_cloud_automl_v1beta1_service_proto_rawDesc |
| ) |
| |
| func file_google_cloud_automl_v1beta1_service_proto_rawDescGZIP() []byte { |
| file_google_cloud_automl_v1beta1_service_proto_rawDescOnce.Do(func() { |
| file_google_cloud_automl_v1beta1_service_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_automl_v1beta1_service_proto_rawDescData) |
| }) |
| return file_google_cloud_automl_v1beta1_service_proto_rawDescData |
| } |
| |
| var file_google_cloud_automl_v1beta1_service_proto_msgTypes = make([]protoimpl.MessageInfo, 29) |
| var file_google_cloud_automl_v1beta1_service_proto_goTypes = []interface{}{ |
| (*CreateDatasetRequest)(nil), // 0: google.cloud.automl.v1beta1.CreateDatasetRequest |
| (*GetDatasetRequest)(nil), // 1: google.cloud.automl.v1beta1.GetDatasetRequest |
| (*ListDatasetsRequest)(nil), // 2: google.cloud.automl.v1beta1.ListDatasetsRequest |
| (*ListDatasetsResponse)(nil), // 3: google.cloud.automl.v1beta1.ListDatasetsResponse |
| (*UpdateDatasetRequest)(nil), // 4: google.cloud.automl.v1beta1.UpdateDatasetRequest |
| (*DeleteDatasetRequest)(nil), // 5: google.cloud.automl.v1beta1.DeleteDatasetRequest |
| (*ImportDataRequest)(nil), // 6: google.cloud.automl.v1beta1.ImportDataRequest |
| (*ExportDataRequest)(nil), // 7: google.cloud.automl.v1beta1.ExportDataRequest |
| (*GetAnnotationSpecRequest)(nil), // 8: google.cloud.automl.v1beta1.GetAnnotationSpecRequest |
| (*GetTableSpecRequest)(nil), // 9: google.cloud.automl.v1beta1.GetTableSpecRequest |
| (*ListTableSpecsRequest)(nil), // 10: google.cloud.automl.v1beta1.ListTableSpecsRequest |
| (*ListTableSpecsResponse)(nil), // 11: google.cloud.automl.v1beta1.ListTableSpecsResponse |
| (*UpdateTableSpecRequest)(nil), // 12: google.cloud.automl.v1beta1.UpdateTableSpecRequest |
| (*GetColumnSpecRequest)(nil), // 13: google.cloud.automl.v1beta1.GetColumnSpecRequest |
| (*ListColumnSpecsRequest)(nil), // 14: google.cloud.automl.v1beta1.ListColumnSpecsRequest |
| (*ListColumnSpecsResponse)(nil), // 15: google.cloud.automl.v1beta1.ListColumnSpecsResponse |
| (*UpdateColumnSpecRequest)(nil), // 16: google.cloud.automl.v1beta1.UpdateColumnSpecRequest |
| (*CreateModelRequest)(nil), // 17: google.cloud.automl.v1beta1.CreateModelRequest |
| (*GetModelRequest)(nil), // 18: google.cloud.automl.v1beta1.GetModelRequest |
| (*ListModelsRequest)(nil), // 19: google.cloud.automl.v1beta1.ListModelsRequest |
| (*ListModelsResponse)(nil), // 20: google.cloud.automl.v1beta1.ListModelsResponse |
| (*DeleteModelRequest)(nil), // 21: google.cloud.automl.v1beta1.DeleteModelRequest |
| (*DeployModelRequest)(nil), // 22: google.cloud.automl.v1beta1.DeployModelRequest |
| (*UndeployModelRequest)(nil), // 23: google.cloud.automl.v1beta1.UndeployModelRequest |
| (*ExportModelRequest)(nil), // 24: google.cloud.automl.v1beta1.ExportModelRequest |
| (*ExportEvaluatedExamplesRequest)(nil), // 25: google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest |
| (*GetModelEvaluationRequest)(nil), // 26: google.cloud.automl.v1beta1.GetModelEvaluationRequest |
| (*ListModelEvaluationsRequest)(nil), // 27: google.cloud.automl.v1beta1.ListModelEvaluationsRequest |
| (*ListModelEvaluationsResponse)(nil), // 28: google.cloud.automl.v1beta1.ListModelEvaluationsResponse |
| (*Dataset)(nil), // 29: google.cloud.automl.v1beta1.Dataset |
| (*field_mask.FieldMask)(nil), // 30: google.protobuf.FieldMask |
| (*InputConfig)(nil), // 31: google.cloud.automl.v1beta1.InputConfig |
| (*OutputConfig)(nil), // 32: google.cloud.automl.v1beta1.OutputConfig |
| (*TableSpec)(nil), // 33: google.cloud.automl.v1beta1.TableSpec |
| (*ColumnSpec)(nil), // 34: google.cloud.automl.v1beta1.ColumnSpec |
| (*Model)(nil), // 35: google.cloud.automl.v1beta1.Model |
| (*ImageObjectDetectionModelDeploymentMetadata)(nil), // 36: google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata |
| (*ImageClassificationModelDeploymentMetadata)(nil), // 37: google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata |
| (*ModelExportOutputConfig)(nil), // 38: google.cloud.automl.v1beta1.ModelExportOutputConfig |
| (*ExportEvaluatedExamplesOutputConfig)(nil), // 39: google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig |
| (*ModelEvaluation)(nil), // 40: google.cloud.automl.v1beta1.ModelEvaluation |
| (*longrunning.Operation)(nil), // 41: google.longrunning.Operation |
| (*AnnotationSpec)(nil), // 42: google.cloud.automl.v1beta1.AnnotationSpec |
| } |
| var file_google_cloud_automl_v1beta1_service_proto_depIdxs = []int32{ |
| 29, // 0: google.cloud.automl.v1beta1.CreateDatasetRequest.dataset:type_name -> google.cloud.automl.v1beta1.Dataset |
| 29, // 1: google.cloud.automl.v1beta1.ListDatasetsResponse.datasets:type_name -> google.cloud.automl.v1beta1.Dataset |
| 29, // 2: google.cloud.automl.v1beta1.UpdateDatasetRequest.dataset:type_name -> google.cloud.automl.v1beta1.Dataset |
| 30, // 3: google.cloud.automl.v1beta1.UpdateDatasetRequest.update_mask:type_name -> google.protobuf.FieldMask |
| 31, // 4: google.cloud.automl.v1beta1.ImportDataRequest.input_config:type_name -> google.cloud.automl.v1beta1.InputConfig |
| 32, // 5: google.cloud.automl.v1beta1.ExportDataRequest.output_config:type_name -> google.cloud.automl.v1beta1.OutputConfig |
| 30, // 6: google.cloud.automl.v1beta1.GetTableSpecRequest.field_mask:type_name -> google.protobuf.FieldMask |
| 30, // 7: google.cloud.automl.v1beta1.ListTableSpecsRequest.field_mask:type_name -> google.protobuf.FieldMask |
| 33, // 8: google.cloud.automl.v1beta1.ListTableSpecsResponse.table_specs:type_name -> google.cloud.automl.v1beta1.TableSpec |
| 33, // 9: google.cloud.automl.v1beta1.UpdateTableSpecRequest.table_spec:type_name -> google.cloud.automl.v1beta1.TableSpec |
| 30, // 10: google.cloud.automl.v1beta1.UpdateTableSpecRequest.update_mask:type_name -> google.protobuf.FieldMask |
| 30, // 11: google.cloud.automl.v1beta1.GetColumnSpecRequest.field_mask:type_name -> google.protobuf.FieldMask |
| 30, // 12: google.cloud.automl.v1beta1.ListColumnSpecsRequest.field_mask:type_name -> google.protobuf.FieldMask |
| 34, // 13: google.cloud.automl.v1beta1.ListColumnSpecsResponse.column_specs:type_name -> google.cloud.automl.v1beta1.ColumnSpec |
| 34, // 14: google.cloud.automl.v1beta1.UpdateColumnSpecRequest.column_spec:type_name -> google.cloud.automl.v1beta1.ColumnSpec |
| 30, // 15: google.cloud.automl.v1beta1.UpdateColumnSpecRequest.update_mask:type_name -> google.protobuf.FieldMask |
| 35, // 16: google.cloud.automl.v1beta1.CreateModelRequest.model:type_name -> google.cloud.automl.v1beta1.Model |
| 35, // 17: google.cloud.automl.v1beta1.ListModelsResponse.model:type_name -> google.cloud.automl.v1beta1.Model |
| 36, // 18: google.cloud.automl.v1beta1.DeployModelRequest.image_object_detection_model_deployment_metadata:type_name -> google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata |
| 37, // 19: google.cloud.automl.v1beta1.DeployModelRequest.image_classification_model_deployment_metadata:type_name -> google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata |
| 38, // 20: google.cloud.automl.v1beta1.ExportModelRequest.output_config:type_name -> google.cloud.automl.v1beta1.ModelExportOutputConfig |
| 39, // 21: google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest.output_config:type_name -> google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig |
| 40, // 22: google.cloud.automl.v1beta1.ListModelEvaluationsResponse.model_evaluation:type_name -> google.cloud.automl.v1beta1.ModelEvaluation |
| 0, // 23: google.cloud.automl.v1beta1.AutoMl.CreateDataset:input_type -> google.cloud.automl.v1beta1.CreateDatasetRequest |
| 1, // 24: google.cloud.automl.v1beta1.AutoMl.GetDataset:input_type -> google.cloud.automl.v1beta1.GetDatasetRequest |
| 2, // 25: google.cloud.automl.v1beta1.AutoMl.ListDatasets:input_type -> google.cloud.automl.v1beta1.ListDatasetsRequest |
| 4, // 26: google.cloud.automl.v1beta1.AutoMl.UpdateDataset:input_type -> google.cloud.automl.v1beta1.UpdateDatasetRequest |
| 5, // 27: google.cloud.automl.v1beta1.AutoMl.DeleteDataset:input_type -> google.cloud.automl.v1beta1.DeleteDatasetRequest |
| 6, // 28: google.cloud.automl.v1beta1.AutoMl.ImportData:input_type -> google.cloud.automl.v1beta1.ImportDataRequest |
| 7, // 29: google.cloud.automl.v1beta1.AutoMl.ExportData:input_type -> google.cloud.automl.v1beta1.ExportDataRequest |
| 8, // 30: google.cloud.automl.v1beta1.AutoMl.GetAnnotationSpec:input_type -> google.cloud.automl.v1beta1.GetAnnotationSpecRequest |
| 9, // 31: google.cloud.automl.v1beta1.AutoMl.GetTableSpec:input_type -> google.cloud.automl.v1beta1.GetTableSpecRequest |
| 10, // 32: google.cloud.automl.v1beta1.AutoMl.ListTableSpecs:input_type -> google.cloud.automl.v1beta1.ListTableSpecsRequest |
| 12, // 33: google.cloud.automl.v1beta1.AutoMl.UpdateTableSpec:input_type -> google.cloud.automl.v1beta1.UpdateTableSpecRequest |
| 13, // 34: google.cloud.automl.v1beta1.AutoMl.GetColumnSpec:input_type -> google.cloud.automl.v1beta1.GetColumnSpecRequest |
| 14, // 35: google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs:input_type -> google.cloud.automl.v1beta1.ListColumnSpecsRequest |
| 16, // 36: google.cloud.automl.v1beta1.AutoMl.UpdateColumnSpec:input_type -> google.cloud.automl.v1beta1.UpdateColumnSpecRequest |
| 17, // 37: google.cloud.automl.v1beta1.AutoMl.CreateModel:input_type -> google.cloud.automl.v1beta1.CreateModelRequest |
| 18, // 38: google.cloud.automl.v1beta1.AutoMl.GetModel:input_type -> google.cloud.automl.v1beta1.GetModelRequest |
| 19, // 39: google.cloud.automl.v1beta1.AutoMl.ListModels:input_type -> google.cloud.automl.v1beta1.ListModelsRequest |
| 21, // 40: google.cloud.automl.v1beta1.AutoMl.DeleteModel:input_type -> google.cloud.automl.v1beta1.DeleteModelRequest |
| 22, // 41: google.cloud.automl.v1beta1.AutoMl.DeployModel:input_type -> google.cloud.automl.v1beta1.DeployModelRequest |
| 23, // 42: google.cloud.automl.v1beta1.AutoMl.UndeployModel:input_type -> google.cloud.automl.v1beta1.UndeployModelRequest |
| 24, // 43: google.cloud.automl.v1beta1.AutoMl.ExportModel:input_type -> google.cloud.automl.v1beta1.ExportModelRequest |
| 25, // 44: google.cloud.automl.v1beta1.AutoMl.ExportEvaluatedExamples:input_type -> google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest |
| 26, // 45: google.cloud.automl.v1beta1.AutoMl.GetModelEvaluation:input_type -> google.cloud.automl.v1beta1.GetModelEvaluationRequest |
| 27, // 46: google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations:input_type -> google.cloud.automl.v1beta1.ListModelEvaluationsRequest |
| 29, // 47: google.cloud.automl.v1beta1.AutoMl.CreateDataset:output_type -> google.cloud.automl.v1beta1.Dataset |
| 29, // 48: google.cloud.automl.v1beta1.AutoMl.GetDataset:output_type -> google.cloud.automl.v1beta1.Dataset |
| 3, // 49: google.cloud.automl.v1beta1.AutoMl.ListDatasets:output_type -> google.cloud.automl.v1beta1.ListDatasetsResponse |
| 29, // 50: google.cloud.automl.v1beta1.AutoMl.UpdateDataset:output_type -> google.cloud.automl.v1beta1.Dataset |
| 41, // 51: google.cloud.automl.v1beta1.AutoMl.DeleteDataset:output_type -> google.longrunning.Operation |
| 41, // 52: google.cloud.automl.v1beta1.AutoMl.ImportData:output_type -> google.longrunning.Operation |
| 41, // 53: google.cloud.automl.v1beta1.AutoMl.ExportData:output_type -> google.longrunning.Operation |
| 42, // 54: google.cloud.automl.v1beta1.AutoMl.GetAnnotationSpec:output_type -> google.cloud.automl.v1beta1.AnnotationSpec |
| 33, // 55: google.cloud.automl.v1beta1.AutoMl.GetTableSpec:output_type -> google.cloud.automl.v1beta1.TableSpec |
| 11, // 56: google.cloud.automl.v1beta1.AutoMl.ListTableSpecs:output_type -> google.cloud.automl.v1beta1.ListTableSpecsResponse |
| 33, // 57: google.cloud.automl.v1beta1.AutoMl.UpdateTableSpec:output_type -> google.cloud.automl.v1beta1.TableSpec |
| 34, // 58: google.cloud.automl.v1beta1.AutoMl.GetColumnSpec:output_type -> google.cloud.automl.v1beta1.ColumnSpec |
| 15, // 59: google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs:output_type -> google.cloud.automl.v1beta1.ListColumnSpecsResponse |
| 34, // 60: google.cloud.automl.v1beta1.AutoMl.UpdateColumnSpec:output_type -> google.cloud.automl.v1beta1.ColumnSpec |
| 41, // 61: google.cloud.automl.v1beta1.AutoMl.CreateModel:output_type -> google.longrunning.Operation |
| 35, // 62: google.cloud.automl.v1beta1.AutoMl.GetModel:output_type -> google.cloud.automl.v1beta1.Model |
| 20, // 63: google.cloud.automl.v1beta1.AutoMl.ListModels:output_type -> google.cloud.automl.v1beta1.ListModelsResponse |
| 41, // 64: google.cloud.automl.v1beta1.AutoMl.DeleteModel:output_type -> google.longrunning.Operation |
| 41, // 65: google.cloud.automl.v1beta1.AutoMl.DeployModel:output_type -> google.longrunning.Operation |
| 41, // 66: google.cloud.automl.v1beta1.AutoMl.UndeployModel:output_type -> google.longrunning.Operation |
| 41, // 67: google.cloud.automl.v1beta1.AutoMl.ExportModel:output_type -> google.longrunning.Operation |
| 41, // 68: google.cloud.automl.v1beta1.AutoMl.ExportEvaluatedExamples:output_type -> google.longrunning.Operation |
| 40, // 69: google.cloud.automl.v1beta1.AutoMl.GetModelEvaluation:output_type -> google.cloud.automl.v1beta1.ModelEvaluation |
| 28, // 70: google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations:output_type -> google.cloud.automl.v1beta1.ListModelEvaluationsResponse |
| 47, // [47:71] is the sub-list for method output_type |
| 23, // [23:47] is the sub-list for method input_type |
| 23, // [23:23] is the sub-list for extension type_name |
| 23, // [23:23] is the sub-list for extension extendee |
| 0, // [0:23] is the sub-list for field type_name |
| } |
| |
| func init() { file_google_cloud_automl_v1beta1_service_proto_init() } |
| func file_google_cloud_automl_v1beta1_service_proto_init() { |
| if File_google_cloud_automl_v1beta1_service_proto != nil { |
| return |
| } |
| file_google_cloud_automl_v1beta1_annotation_payload_proto_init() |
| file_google_cloud_automl_v1beta1_annotation_spec_proto_init() |
| file_google_cloud_automl_v1beta1_column_spec_proto_init() |
| file_google_cloud_automl_v1beta1_dataset_proto_init() |
| file_google_cloud_automl_v1beta1_image_proto_init() |
| file_google_cloud_automl_v1beta1_io_proto_init() |
| file_google_cloud_automl_v1beta1_model_proto_init() |
| file_google_cloud_automl_v1beta1_model_evaluation_proto_init() |
| file_google_cloud_automl_v1beta1_operations_proto_init() |
| file_google_cloud_automl_v1beta1_table_spec_proto_init() |
| if !protoimpl.UnsafeEnabled { |
| file_google_cloud_automl_v1beta1_service_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*CreateDatasetRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1beta1_service_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*GetDatasetRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1beta1_service_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ListDatasetsRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1beta1_service_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ListDatasetsResponse); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1beta1_service_proto_msgTypes[4].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*UpdateDatasetRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1beta1_service_proto_msgTypes[5].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*DeleteDatasetRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1beta1_service_proto_msgTypes[6].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ImportDataRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1beta1_service_proto_msgTypes[7].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ExportDataRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1beta1_service_proto_msgTypes[8].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*GetAnnotationSpecRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1beta1_service_proto_msgTypes[9].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*GetTableSpecRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1beta1_service_proto_msgTypes[10].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ListTableSpecsRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1beta1_service_proto_msgTypes[11].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ListTableSpecsResponse); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1beta1_service_proto_msgTypes[12].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*UpdateTableSpecRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1beta1_service_proto_msgTypes[13].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*GetColumnSpecRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1beta1_service_proto_msgTypes[14].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ListColumnSpecsRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1beta1_service_proto_msgTypes[15].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ListColumnSpecsResponse); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1beta1_service_proto_msgTypes[16].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*UpdateColumnSpecRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1beta1_service_proto_msgTypes[17].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*CreateModelRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1beta1_service_proto_msgTypes[18].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*GetModelRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1beta1_service_proto_msgTypes[19].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ListModelsRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1beta1_service_proto_msgTypes[20].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ListModelsResponse); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1beta1_service_proto_msgTypes[21].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*DeleteModelRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1beta1_service_proto_msgTypes[22].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*DeployModelRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1beta1_service_proto_msgTypes[23].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*UndeployModelRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1beta1_service_proto_msgTypes[24].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ExportModelRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1beta1_service_proto_msgTypes[25].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ExportEvaluatedExamplesRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1beta1_service_proto_msgTypes[26].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*GetModelEvaluationRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1beta1_service_proto_msgTypes[27].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ListModelEvaluationsRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1beta1_service_proto_msgTypes[28].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ListModelEvaluationsResponse); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| } |
| file_google_cloud_automl_v1beta1_service_proto_msgTypes[22].OneofWrappers = []interface{}{ |
| (*DeployModelRequest_ImageObjectDetectionModelDeploymentMetadata)(nil), |
| (*DeployModelRequest_ImageClassificationModelDeploymentMetadata)(nil), |
| } |
| type x struct{} |
| out := protoimpl.TypeBuilder{ |
| File: protoimpl.DescBuilder{ |
| GoPackagePath: reflect.TypeOf(x{}).PkgPath(), |
| RawDescriptor: file_google_cloud_automl_v1beta1_service_proto_rawDesc, |
| NumEnums: 0, |
| NumMessages: 29, |
| NumExtensions: 0, |
| NumServices: 1, |
| }, |
| GoTypes: file_google_cloud_automl_v1beta1_service_proto_goTypes, |
| DependencyIndexes: file_google_cloud_automl_v1beta1_service_proto_depIdxs, |
| MessageInfos: file_google_cloud_automl_v1beta1_service_proto_msgTypes, |
| }.Build() |
| File_google_cloud_automl_v1beta1_service_proto = out.File |
| file_google_cloud_automl_v1beta1_service_proto_rawDesc = nil |
| file_google_cloud_automl_v1beta1_service_proto_goTypes = nil |
| file_google_cloud_automl_v1beta1_service_proto_depIdxs = nil |
| } |
| |
| // 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) (*Dataset, 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. |
| // For Tables this method can only be called on an empty Dataset. |
| // |
| // For Tables: |
| // * A |
| // [schema_inference_version][google.cloud.automl.v1beta1.InputConfig.params] |
| // parameter must be explicitly set. |
| // Returns an empty response in the |
| // [response][google.longrunning.Operation.response] field when it completes. |
| 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) |
| // Gets a table spec. |
| GetTableSpec(ctx context.Context, in *GetTableSpecRequest, opts ...grpc.CallOption) (*TableSpec, error) |
| // Lists table specs in a dataset. |
| ListTableSpecs(ctx context.Context, in *ListTableSpecsRequest, opts ...grpc.CallOption) (*ListTableSpecsResponse, error) |
| // Updates a table spec. |
| UpdateTableSpec(ctx context.Context, in *UpdateTableSpecRequest, opts ...grpc.CallOption) (*TableSpec, error) |
| // Gets a column spec. |
| GetColumnSpec(ctx context.Context, in *GetColumnSpecRequest, opts ...grpc.CallOption) (*ColumnSpec, error) |
| // Lists column specs in a table spec. |
| ListColumnSpecs(ctx context.Context, in *ListColumnSpecsRequest, opts ...grpc.CallOption) (*ListColumnSpecsResponse, error) |
| // Updates a column spec. |
| UpdateColumnSpec(ctx context.Context, in *UpdateColumnSpecRequest, opts ...grpc.CallOption) (*ColumnSpec, 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) |
| // 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.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number]) |
| // will reset the deployment state without pausing the model's availability. |
| // |
| // Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; 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 and Tables; |
| // 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.v1beta1.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) |
| // Exports examples on which the model was evaluated (i.e. which were in the |
| // TEST set of the dataset the model was created from), together with their |
| // ground truth annotations and the annotations created (predicted) by the |
| // model. |
| // The examples, ground truth and predictions are exported in the state |
| // they were at the moment the model was evaluated. |
| // |
| // This export is available only for 30 days since the model evaluation is |
| // created. |
| // |
| // Currently only available for Tables. |
| // |
| // Returns an empty response in the |
| // [response][google.longrunning.Operation.response] field when it completes. |
| ExportEvaluatedExamples(ctx context.Context, in *ExportEvaluatedExamplesRequest, 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) (*Dataset, error) { |
| out := new(Dataset) |
| err := c.cc.Invoke(ctx, "/google.cloud.automl.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.AutoMl/GetAnnotationSpec", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *autoMlClient) GetTableSpec(ctx context.Context, in *GetTableSpecRequest, opts ...grpc.CallOption) (*TableSpec, error) { |
| out := new(TableSpec) |
| err := c.cc.Invoke(ctx, "/google.cloud.automl.v1beta1.AutoMl/GetTableSpec", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *autoMlClient) ListTableSpecs(ctx context.Context, in *ListTableSpecsRequest, opts ...grpc.CallOption) (*ListTableSpecsResponse, error) { |
| out := new(ListTableSpecsResponse) |
| err := c.cc.Invoke(ctx, "/google.cloud.automl.v1beta1.AutoMl/ListTableSpecs", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *autoMlClient) UpdateTableSpec(ctx context.Context, in *UpdateTableSpecRequest, opts ...grpc.CallOption) (*TableSpec, error) { |
| out := new(TableSpec) |
| err := c.cc.Invoke(ctx, "/google.cloud.automl.v1beta1.AutoMl/UpdateTableSpec", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *autoMlClient) GetColumnSpec(ctx context.Context, in *GetColumnSpecRequest, opts ...grpc.CallOption) (*ColumnSpec, error) { |
| out := new(ColumnSpec) |
| err := c.cc.Invoke(ctx, "/google.cloud.automl.v1beta1.AutoMl/GetColumnSpec", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *autoMlClient) ListColumnSpecs(ctx context.Context, in *ListColumnSpecsRequest, opts ...grpc.CallOption) (*ListColumnSpecsResponse, error) { |
| out := new(ListColumnSpecsResponse) |
| err := c.cc.Invoke(ctx, "/google.cloud.automl.v1beta1.AutoMl/ListColumnSpecs", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *autoMlClient) UpdateColumnSpec(ctx context.Context, in *UpdateColumnSpecRequest, opts ...grpc.CallOption) (*ColumnSpec, error) { |
| out := new(ColumnSpec) |
| err := c.cc.Invoke(ctx, "/google.cloud.automl.v1beta1.AutoMl/UpdateColumnSpec", 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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.AutoMl/DeleteModel", 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.v1beta1.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.v1beta1.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.v1beta1.AutoMl/ExportModel", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *autoMlClient) ExportEvaluatedExamples(ctx context.Context, in *ExportEvaluatedExamplesRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) { |
| out := new(longrunning.Operation) |
| err := c.cc.Invoke(ctx, "/google.cloud.automl.v1beta1.AutoMl/ExportEvaluatedExamples", 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.v1beta1.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.v1beta1.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) (*Dataset, 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. |
| // For Tables this method can only be called on an empty Dataset. |
| // |
| // For Tables: |
| // * A |
| // [schema_inference_version][google.cloud.automl.v1beta1.InputConfig.params] |
| // parameter must be explicitly set. |
| // Returns an empty response in the |
| // [response][google.longrunning.Operation.response] field when it completes. |
| 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) |
| // Gets a table spec. |
| GetTableSpec(context.Context, *GetTableSpecRequest) (*TableSpec, error) |
| // Lists table specs in a dataset. |
| ListTableSpecs(context.Context, *ListTableSpecsRequest) (*ListTableSpecsResponse, error) |
| // Updates a table spec. |
| UpdateTableSpec(context.Context, *UpdateTableSpecRequest) (*TableSpec, error) |
| // Gets a column spec. |
| GetColumnSpec(context.Context, *GetColumnSpecRequest) (*ColumnSpec, error) |
| // Lists column specs in a table spec. |
| ListColumnSpecs(context.Context, *ListColumnSpecsRequest) (*ListColumnSpecsResponse, error) |
| // Updates a column spec. |
| UpdateColumnSpec(context.Context, *UpdateColumnSpecRequest) (*ColumnSpec, 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) |
| // 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.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number]) |
| // will reset the deployment state without pausing the model's availability. |
| // |
| // Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; 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 and Tables; |
| // 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.v1beta1.ModelExportOutputConfig]. |
| // |
| // Returns an empty response in the |
| // [response][google.longrunning.Operation.response] field when it completes. |
| ExportModel(context.Context, *ExportModelRequest) (*longrunning.Operation, error) |
| // Exports examples on which the model was evaluated (i.e. which were in the |
| // TEST set of the dataset the model was created from), together with their |
| // ground truth annotations and the annotations created (predicted) by the |
| // model. |
| // The examples, ground truth and predictions are exported in the state |
| // they were at the moment the model was evaluated. |
| // |
| // This export is available only for 30 days since the model evaluation is |
| // created. |
| // |
| // Currently only available for Tables. |
| // |
| // Returns an empty response in the |
| // [response][google.longrunning.Operation.response] field when it completes. |
| ExportEvaluatedExamples(context.Context, *ExportEvaluatedExamplesRequest) (*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(context.Context, *CreateDatasetRequest) (*Dataset, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method CreateDataset not implemented") |
| } |
| func (*UnimplementedAutoMlServer) GetDataset(context.Context, *GetDatasetRequest) (*Dataset, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method GetDataset not implemented") |
| } |
| func (*UnimplementedAutoMlServer) ListDatasets(context.Context, *ListDatasetsRequest) (*ListDatasetsResponse, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method ListDatasets not implemented") |
| } |
| func (*UnimplementedAutoMlServer) UpdateDataset(context.Context, *UpdateDatasetRequest) (*Dataset, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method UpdateDataset not implemented") |
| } |
| func (*UnimplementedAutoMlServer) DeleteDataset(context.Context, *DeleteDatasetRequest) (*longrunning.Operation, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method DeleteDataset not implemented") |
| } |
| func (*UnimplementedAutoMlServer) ImportData(context.Context, *ImportDataRequest) (*longrunning.Operation, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method ImportData not implemented") |
| } |
| func (*UnimplementedAutoMlServer) ExportData(context.Context, *ExportDataRequest) (*longrunning.Operation, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method ExportData not implemented") |
| } |
| func (*UnimplementedAutoMlServer) GetAnnotationSpec(context.Context, *GetAnnotationSpecRequest) (*AnnotationSpec, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method GetAnnotationSpec not implemented") |
| } |
| func (*UnimplementedAutoMlServer) GetTableSpec(context.Context, *GetTableSpecRequest) (*TableSpec, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method GetTableSpec not implemented") |
| } |
| func (*UnimplementedAutoMlServer) ListTableSpecs(context.Context, *ListTableSpecsRequest) (*ListTableSpecsResponse, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method ListTableSpecs not implemented") |
| } |
| func (*UnimplementedAutoMlServer) UpdateTableSpec(context.Context, *UpdateTableSpecRequest) (*TableSpec, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method UpdateTableSpec not implemented") |
| } |
| func (*UnimplementedAutoMlServer) GetColumnSpec(context.Context, *GetColumnSpecRequest) (*ColumnSpec, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method GetColumnSpec not implemented") |
| } |
| func (*UnimplementedAutoMlServer) ListColumnSpecs(context.Context, *ListColumnSpecsRequest) (*ListColumnSpecsResponse, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method ListColumnSpecs not implemented") |
| } |
| func (*UnimplementedAutoMlServer) UpdateColumnSpec(context.Context, *UpdateColumnSpecRequest) (*ColumnSpec, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method UpdateColumnSpec not implemented") |
| } |
| func (*UnimplementedAutoMlServer) CreateModel(context.Context, *CreateModelRequest) (*longrunning.Operation, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method CreateModel not implemented") |
| } |
| func (*UnimplementedAutoMlServer) GetModel(context.Context, *GetModelRequest) (*Model, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method GetModel not implemented") |
| } |
| func (*UnimplementedAutoMlServer) ListModels(context.Context, *ListModelsRequest) (*ListModelsResponse, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method ListModels not implemented") |
| } |
| func (*UnimplementedAutoMlServer) DeleteModel(context.Context, *DeleteModelRequest) (*longrunning.Operation, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method DeleteModel not implemented") |
| } |
| func (*UnimplementedAutoMlServer) DeployModel(context.Context, *DeployModelRequest) (*longrunning.Operation, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method DeployModel not implemented") |
| } |
| func (*UnimplementedAutoMlServer) UndeployModel(context.Context, *UndeployModelRequest) (*longrunning.Operation, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method UndeployModel not implemented") |
| } |
| func (*UnimplementedAutoMlServer) ExportModel(context.Context, *ExportModelRequest) (*longrunning.Operation, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method ExportModel not implemented") |
| } |
| func (*UnimplementedAutoMlServer) ExportEvaluatedExamples(context.Context, *ExportEvaluatedExamplesRequest) (*longrunning.Operation, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method ExportEvaluatedExamples not implemented") |
| } |
| func (*UnimplementedAutoMlServer) GetModelEvaluation(context.Context, *GetModelEvaluationRequest) (*ModelEvaluation, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method GetModelEvaluation not implemented") |
| } |
| func (*UnimplementedAutoMlServer) ListModelEvaluations(context.Context, *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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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_GetTableSpec_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(GetTableSpecRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(AutoMlServer).GetTableSpec(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.automl.v1beta1.AutoMl/GetTableSpec", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(AutoMlServer).GetTableSpec(ctx, req.(*GetTableSpecRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _AutoMl_ListTableSpecs_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(ListTableSpecsRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(AutoMlServer).ListTableSpecs(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.automl.v1beta1.AutoMl/ListTableSpecs", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(AutoMlServer).ListTableSpecs(ctx, req.(*ListTableSpecsRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _AutoMl_UpdateTableSpec_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(UpdateTableSpecRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(AutoMlServer).UpdateTableSpec(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.automl.v1beta1.AutoMl/UpdateTableSpec", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(AutoMlServer).UpdateTableSpec(ctx, req.(*UpdateTableSpecRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _AutoMl_GetColumnSpec_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(GetColumnSpecRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(AutoMlServer).GetColumnSpec(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.automl.v1beta1.AutoMl/GetColumnSpec", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(AutoMlServer).GetColumnSpec(ctx, req.(*GetColumnSpecRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _AutoMl_ListColumnSpecs_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(ListColumnSpecsRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(AutoMlServer).ListColumnSpecs(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.automl.v1beta1.AutoMl/ListColumnSpecs", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(AutoMlServer).ListColumnSpecs(ctx, req.(*ListColumnSpecsRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _AutoMl_UpdateColumnSpec_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(UpdateColumnSpecRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(AutoMlServer).UpdateColumnSpec(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.automl.v1beta1.AutoMl/UpdateColumnSpec", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(AutoMlServer).UpdateColumnSpec(ctx, req.(*UpdateColumnSpecRequest)) |
| } |
| 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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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_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.v1beta1.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.v1beta1.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.v1beta1.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_ExportEvaluatedExamples_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(ExportEvaluatedExamplesRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(AutoMlServer).ExportEvaluatedExamples(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.automl.v1beta1.AutoMl/ExportEvaluatedExamples", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(AutoMlServer).ExportEvaluatedExamples(ctx, req.(*ExportEvaluatedExamplesRequest)) |
| } |
| 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.v1beta1.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.v1beta1.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.v1beta1.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: "GetTableSpec", |
| Handler: _AutoMl_GetTableSpec_Handler, |
| }, |
| { |
| MethodName: "ListTableSpecs", |
| Handler: _AutoMl_ListTableSpecs_Handler, |
| }, |
| { |
| MethodName: "UpdateTableSpec", |
| Handler: _AutoMl_UpdateTableSpec_Handler, |
| }, |
| { |
| MethodName: "GetColumnSpec", |
| Handler: _AutoMl_GetColumnSpec_Handler, |
| }, |
| { |
| MethodName: "ListColumnSpecs", |
| Handler: _AutoMl_ListColumnSpecs_Handler, |
| }, |
| { |
| MethodName: "UpdateColumnSpec", |
| Handler: _AutoMl_UpdateColumnSpec_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: "DeployModel", |
| Handler: _AutoMl_DeployModel_Handler, |
| }, |
| { |
| MethodName: "UndeployModel", |
| Handler: _AutoMl_UndeployModel_Handler, |
| }, |
| { |
| MethodName: "ExportModel", |
| Handler: _AutoMl_ExportModel_Handler, |
| }, |
| { |
| MethodName: "ExportEvaluatedExamples", |
| Handler: _AutoMl_ExportEvaluatedExamples_Handler, |
| }, |
| { |
| MethodName: "GetModelEvaluation", |
| Handler: _AutoMl_GetModelEvaluation_Handler, |
| }, |
| { |
| MethodName: "ListModelEvaluations", |
| Handler: _AutoMl_ListModelEvaluations_Handler, |
| }, |
| }, |
| Streams: []grpc.StreamDesc{}, |
| Metadata: "google/cloud/automl/v1beta1/service.proto", |
| } |
