| // Copyright 2023 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 v1.33.0 |
| // protoc v4.25.3 |
| // source: google/cloud/aiplatform/v1/dataset.proto |
| |
| package aiplatformpb |
| |
| import ( |
| reflect "reflect" |
| sync "sync" |
| |
| _ "google.golang.org/genproto/googleapis/api/annotations" |
| protoreflect "google.golang.org/protobuf/reflect/protoreflect" |
| protoimpl "google.golang.org/protobuf/runtime/protoimpl" |
| structpb "google.golang.org/protobuf/types/known/structpb" |
| timestamppb "google.golang.org/protobuf/types/known/timestamppb" |
| ) |
| |
| 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) |
| ) |
| |
| // ExportUse indicates the usage of the exported files. It restricts file |
| // destination, format, annotations to be exported, whether to allow |
| // unannotated data to be exported and whether to clone files to temp Cloud |
| // Storage bucket. |
| type ExportDataConfig_ExportUse int32 |
| |
| const ( |
| // Regular user export. |
| ExportDataConfig_EXPORT_USE_UNSPECIFIED ExportDataConfig_ExportUse = 0 |
| // Export for custom code training. |
| ExportDataConfig_CUSTOM_CODE_TRAINING ExportDataConfig_ExportUse = 6 |
| ) |
| |
| // Enum value maps for ExportDataConfig_ExportUse. |
| var ( |
| ExportDataConfig_ExportUse_name = map[int32]string{ |
| 0: "EXPORT_USE_UNSPECIFIED", |
| 6: "CUSTOM_CODE_TRAINING", |
| } |
| ExportDataConfig_ExportUse_value = map[string]int32{ |
| "EXPORT_USE_UNSPECIFIED": 0, |
| "CUSTOM_CODE_TRAINING": 6, |
| } |
| ) |
| |
| func (x ExportDataConfig_ExportUse) Enum() *ExportDataConfig_ExportUse { |
| p := new(ExportDataConfig_ExportUse) |
| *p = x |
| return p |
| } |
| |
| func (x ExportDataConfig_ExportUse) String() string { |
| return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x)) |
| } |
| |
| func (ExportDataConfig_ExportUse) Descriptor() protoreflect.EnumDescriptor { |
| return file_google_cloud_aiplatform_v1_dataset_proto_enumTypes[0].Descriptor() |
| } |
| |
| func (ExportDataConfig_ExportUse) Type() protoreflect.EnumType { |
| return &file_google_cloud_aiplatform_v1_dataset_proto_enumTypes[0] |
| } |
| |
| func (x ExportDataConfig_ExportUse) Number() protoreflect.EnumNumber { |
| return protoreflect.EnumNumber(x) |
| } |
| |
| // Deprecated: Use ExportDataConfig_ExportUse.Descriptor instead. |
| func (ExportDataConfig_ExportUse) EnumDescriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_dataset_proto_rawDescGZIP(), []int{2, 0} |
| } |
| |
| // A collection of DataItems and Annotations on them. |
| type Dataset struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Output only. The resource name of the Dataset. |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| // Required. The user-defined name of the Dataset. |
| // The name can be up to 128 characters long and can consist of any UTF-8 |
| // characters. |
| DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"` |
| // The description of the Dataset. |
| Description string `protobuf:"bytes,16,opt,name=description,proto3" json:"description,omitempty"` |
| // Required. Points to a YAML file stored on Google Cloud Storage describing |
| // additional information about the Dataset. The schema is defined as an |
| // OpenAPI 3.0.2 Schema Object. The schema files that can be used here are |
| // found in gs://google-cloud-aiplatform/schema/dataset/metadata/. |
| MetadataSchemaUri string `protobuf:"bytes,3,opt,name=metadata_schema_uri,json=metadataSchemaUri,proto3" json:"metadata_schema_uri,omitempty"` |
| // Required. Additional information about the Dataset. |
| Metadata *structpb.Value `protobuf:"bytes,8,opt,name=metadata,proto3" json:"metadata,omitempty"` |
| // Output only. The number of DataItems in this Dataset. Only apply for |
| // non-structured Dataset. |
| DataItemCount int64 `protobuf:"varint,10,opt,name=data_item_count,json=dataItemCount,proto3" json:"data_item_count,omitempty"` |
| // Output only. Timestamp when this Dataset was created. |
| CreateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"` |
| // Output only. Timestamp when this Dataset was last updated. |
| UpdateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"` |
| // Used to perform consistent read-modify-write updates. If not set, a blind |
| // "overwrite" update happens. |
| Etag string `protobuf:"bytes,6,opt,name=etag,proto3" json:"etag,omitempty"` |
| // The labels with user-defined metadata to organize your Datasets. |
| // |
| // Label keys and values can be no longer than 64 characters |
| // (Unicode codepoints), can only contain lowercase letters, numeric |
| // characters, underscores and dashes. International characters are allowed. |
| // No more than 64 user labels can be associated with one Dataset (System |
| // labels are excluded). |
| // |
| // See https://goo.gl/xmQnxf for more information and examples of labels. |
| // System reserved label keys are prefixed with "aiplatform.googleapis.com/" |
| // and are immutable. Following system labels exist for each Dataset: |
| // |
| // - "aiplatform.googleapis.com/dataset_metadata_schema": output only, its |
| // value is the |
| // [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] |
| // title. |
| Labels map[string]string `protobuf:"bytes,7,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"` |
| // All SavedQueries belong to the Dataset will be returned in List/Get |
| // Dataset response. The annotation_specs field |
| // will not be populated except for UI cases which will only use |
| // [annotation_spec_count][google.cloud.aiplatform.v1.SavedQuery.annotation_spec_count]. |
| // In CreateDataset request, a SavedQuery is created together if |
| // this field is set, up to one SavedQuery can be set in CreateDatasetRequest. |
| // The SavedQuery should not contain any AnnotationSpec. |
| SavedQueries []*SavedQuery `protobuf:"bytes,9,rep,name=saved_queries,json=savedQueries,proto3" json:"saved_queries,omitempty"` |
| // Customer-managed encryption key spec for a Dataset. If set, this Dataset |
| // and all sub-resources of this Dataset will be secured by this key. |
| EncryptionSpec *EncryptionSpec `protobuf:"bytes,11,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"` |
| // Output only. The resource name of the Artifact that was created in |
| // MetadataStore when creating the Dataset. The Artifact resource name pattern |
| // is |
| // `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`. |
| MetadataArtifact string `protobuf:"bytes,17,opt,name=metadata_artifact,json=metadataArtifact,proto3" json:"metadata_artifact,omitempty"` |
| } |
| |
| func (x *Dataset) Reset() { |
| *x = Dataset{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_dataset_proto_msgTypes[0] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *Dataset) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*Dataset) ProtoMessage() {} |
| |
| func (x *Dataset) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_dataset_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 Dataset.ProtoReflect.Descriptor instead. |
| func (*Dataset) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_dataset_proto_rawDescGZIP(), []int{0} |
| } |
| |
| func (x *Dataset) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| func (x *Dataset) GetDisplayName() string { |
| if x != nil { |
| return x.DisplayName |
| } |
| return "" |
| } |
| |
| func (x *Dataset) GetDescription() string { |
| if x != nil { |
| return x.Description |
| } |
| return "" |
| } |
| |
| func (x *Dataset) GetMetadataSchemaUri() string { |
| if x != nil { |
| return x.MetadataSchemaUri |
| } |
| return "" |
| } |
| |
| func (x *Dataset) GetMetadata() *structpb.Value { |
| if x != nil { |
| return x.Metadata |
| } |
| return nil |
| } |
| |
| func (x *Dataset) GetDataItemCount() int64 { |
| if x != nil { |
| return x.DataItemCount |
| } |
| return 0 |
| } |
| |
| func (x *Dataset) GetCreateTime() *timestamppb.Timestamp { |
| if x != nil { |
| return x.CreateTime |
| } |
| return nil |
| } |
| |
| func (x *Dataset) GetUpdateTime() *timestamppb.Timestamp { |
| if x != nil { |
| return x.UpdateTime |
| } |
| return nil |
| } |
| |
| func (x *Dataset) GetEtag() string { |
| if x != nil { |
| return x.Etag |
| } |
| return "" |
| } |
| |
| func (x *Dataset) GetLabels() map[string]string { |
| if x != nil { |
| return x.Labels |
| } |
| return nil |
| } |
| |
| func (x *Dataset) GetSavedQueries() []*SavedQuery { |
| if x != nil { |
| return x.SavedQueries |
| } |
| return nil |
| } |
| |
| func (x *Dataset) GetEncryptionSpec() *EncryptionSpec { |
| if x != nil { |
| return x.EncryptionSpec |
| } |
| return nil |
| } |
| |
| func (x *Dataset) GetMetadataArtifact() string { |
| if x != nil { |
| return x.MetadataArtifact |
| } |
| return "" |
| } |
| |
| // Describes the location from where we import data into a Dataset, together |
| // with the labels that will be applied to the DataItems and the Annotations. |
| type ImportDataConfig struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The source of the input. |
| // |
| // Types that are assignable to Source: |
| // |
| // *ImportDataConfig_GcsSource |
| Source isImportDataConfig_Source `protobuf_oneof:"source"` |
| // Labels that will be applied to newly imported DataItems. If an identical |
| // DataItem as one being imported already exists in the Dataset, then these |
| // labels will be appended to these of the already existing one, and if labels |
| // with identical key is imported before, the old label value will be |
| // overwritten. If two DataItems are identical in the same import data |
| // operation, the labels will be combined and if key collision happens in this |
| // case, one of the values will be picked randomly. Two DataItems are |
| // considered identical if their content bytes are identical (e.g. image bytes |
| // or pdf bytes). |
| // These labels will be overridden by Annotation labels specified inside index |
| // file referenced by |
| // [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], |
| // e.g. jsonl file. |
| DataItemLabels map[string]string `protobuf:"bytes,2,rep,name=data_item_labels,json=dataItemLabels,proto3" json:"data_item_labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"` |
| // Labels that will be applied to newly imported Annotations. If two |
| // Annotations are identical, one of them will be deduped. Two Annotations are |
| // considered identical if their |
| // [payload][google.cloud.aiplatform.v1.Annotation.payload], |
| // [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri] |
| // and all of their [labels][google.cloud.aiplatform.v1.Annotation.labels] are |
| // the same. These labels will be overridden by Annotation labels specified |
| // inside index file referenced by |
| // [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], |
| // e.g. jsonl file. |
| AnnotationLabels map[string]string `protobuf:"bytes,3,rep,name=annotation_labels,json=annotationLabels,proto3" json:"annotation_labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"` |
| // Required. Points to a YAML file stored on Google Cloud Storage describing |
| // the import format. Validation will be done against the schema. The schema |
| // is defined as an [OpenAPI 3.0.2 Schema |
| // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject). |
| ImportSchemaUri string `protobuf:"bytes,4,opt,name=import_schema_uri,json=importSchemaUri,proto3" json:"import_schema_uri,omitempty"` |
| } |
| |
| func (x *ImportDataConfig) Reset() { |
| *x = ImportDataConfig{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_dataset_proto_msgTypes[1] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ImportDataConfig) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ImportDataConfig) ProtoMessage() {} |
| |
| func (x *ImportDataConfig) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_dataset_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 ImportDataConfig.ProtoReflect.Descriptor instead. |
| func (*ImportDataConfig) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_dataset_proto_rawDescGZIP(), []int{1} |
| } |
| |
| func (m *ImportDataConfig) GetSource() isImportDataConfig_Source { |
| if m != nil { |
| return m.Source |
| } |
| return nil |
| } |
| |
| func (x *ImportDataConfig) GetGcsSource() *GcsSource { |
| if x, ok := x.GetSource().(*ImportDataConfig_GcsSource); ok { |
| return x.GcsSource |
| } |
| return nil |
| } |
| |
| func (x *ImportDataConfig) GetDataItemLabels() map[string]string { |
| if x != nil { |
| return x.DataItemLabels |
| } |
| return nil |
| } |
| |
| func (x *ImportDataConfig) GetAnnotationLabels() map[string]string { |
| if x != nil { |
| return x.AnnotationLabels |
| } |
| return nil |
| } |
| |
| func (x *ImportDataConfig) GetImportSchemaUri() string { |
| if x != nil { |
| return x.ImportSchemaUri |
| } |
| return "" |
| } |
| |
| type isImportDataConfig_Source interface { |
| isImportDataConfig_Source() |
| } |
| |
| type ImportDataConfig_GcsSource struct { |
| // The Google Cloud Storage location for the input content. |
| GcsSource *GcsSource `protobuf:"bytes,1,opt,name=gcs_source,json=gcsSource,proto3,oneof"` |
| } |
| |
| func (*ImportDataConfig_GcsSource) isImportDataConfig_Source() {} |
| |
| // Describes what part of the Dataset is to be exported, the destination of |
| // the export and how to export. |
| type ExportDataConfig struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The destination of the output. |
| // |
| // Types that are assignable to Destination: |
| // |
| // *ExportDataConfig_GcsDestination |
| Destination isExportDataConfig_Destination `protobuf_oneof:"destination"` |
| // The instructions how the export data should be split between the |
| // training, validation and test sets. |
| // |
| // Types that are assignable to Split: |
| // |
| // *ExportDataConfig_FractionSplit |
| // *ExportDataConfig_FilterSplit |
| Split isExportDataConfig_Split `protobuf_oneof:"split"` |
| // An expression for filtering what part of the Dataset is to be exported. |
| // Only Annotations that match this filter will be exported. The filter syntax |
| // is the same as in |
| // [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations]. |
| AnnotationsFilter string `protobuf:"bytes,2,opt,name=annotations_filter,json=annotationsFilter,proto3" json:"annotations_filter,omitempty"` |
| // The ID of a SavedQuery (annotation set) under the Dataset specified by |
| // [dataset_id][] used for filtering Annotations for training. |
| // |
| // Only used for custom training data export use cases. |
| // Only applicable to Datasets that have SavedQueries. |
| // |
| // Only Annotations that are associated with this SavedQuery are used in |
| // respectively training. When used in conjunction with |
| // [annotations_filter][google.cloud.aiplatform.v1.ExportDataConfig.annotations_filter], |
| // the Annotations used for training are filtered by both |
| // [saved_query_id][google.cloud.aiplatform.v1.ExportDataConfig.saved_query_id] |
| // and |
| // [annotations_filter][google.cloud.aiplatform.v1.ExportDataConfig.annotations_filter]. |
| // |
| // Only one of |
| // [saved_query_id][google.cloud.aiplatform.v1.ExportDataConfig.saved_query_id] |
| // and |
| // [annotation_schema_uri][google.cloud.aiplatform.v1.ExportDataConfig.annotation_schema_uri] |
| // should be specified as both of them represent the same thing: problem type. |
| SavedQueryId string `protobuf:"bytes,11,opt,name=saved_query_id,json=savedQueryId,proto3" json:"saved_query_id,omitempty"` |
| // The Cloud Storage URI that points to a YAML file describing the annotation |
| // schema. The schema is defined as an OpenAPI 3.0.2 [Schema |
| // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject). |
| // The schema files that can be used here are found in |
| // gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the |
| // chosen schema must be consistent with |
| // [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the |
| // Dataset specified by [dataset_id][]. |
| // |
| // Only used for custom training data export use cases. |
| // Only applicable to Datasets that have DataItems and Annotations. |
| // |
| // Only Annotations that both match this schema and belong to DataItems not |
| // ignored by the split method are used in respectively training, validation |
| // or test role, depending on the role of the DataItem they are on. |
| // |
| // When used in conjunction with |
| // [annotations_filter][google.cloud.aiplatform.v1.ExportDataConfig.annotations_filter], |
| // the Annotations used for training are filtered by both |
| // [annotations_filter][google.cloud.aiplatform.v1.ExportDataConfig.annotations_filter] |
| // and |
| // [annotation_schema_uri][google.cloud.aiplatform.v1.ExportDataConfig.annotation_schema_uri]. |
| AnnotationSchemaUri string `protobuf:"bytes,12,opt,name=annotation_schema_uri,json=annotationSchemaUri,proto3" json:"annotation_schema_uri,omitempty"` |
| // Indicates the usage of the exported files. |
| ExportUse ExportDataConfig_ExportUse `protobuf:"varint,4,opt,name=export_use,json=exportUse,proto3,enum=google.cloud.aiplatform.v1.ExportDataConfig_ExportUse" json:"export_use,omitempty"` |
| } |
| |
| func (x *ExportDataConfig) Reset() { |
| *x = ExportDataConfig{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_dataset_proto_msgTypes[2] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ExportDataConfig) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ExportDataConfig) ProtoMessage() {} |
| |
| func (x *ExportDataConfig) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_dataset_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 ExportDataConfig.ProtoReflect.Descriptor instead. |
| func (*ExportDataConfig) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_dataset_proto_rawDescGZIP(), []int{2} |
| } |
| |
| func (m *ExportDataConfig) GetDestination() isExportDataConfig_Destination { |
| if m != nil { |
| return m.Destination |
| } |
| return nil |
| } |
| |
| func (x *ExportDataConfig) GetGcsDestination() *GcsDestination { |
| if x, ok := x.GetDestination().(*ExportDataConfig_GcsDestination); ok { |
| return x.GcsDestination |
| } |
| return nil |
| } |
| |
| func (m *ExportDataConfig) GetSplit() isExportDataConfig_Split { |
| if m != nil { |
| return m.Split |
| } |
| return nil |
| } |
| |
| func (x *ExportDataConfig) GetFractionSplit() *ExportFractionSplit { |
| if x, ok := x.GetSplit().(*ExportDataConfig_FractionSplit); ok { |
| return x.FractionSplit |
| } |
| return nil |
| } |
| |
| func (x *ExportDataConfig) GetFilterSplit() *ExportFilterSplit { |
| if x, ok := x.GetSplit().(*ExportDataConfig_FilterSplit); ok { |
| return x.FilterSplit |
| } |
| return nil |
| } |
| |
| func (x *ExportDataConfig) GetAnnotationsFilter() string { |
| if x != nil { |
| return x.AnnotationsFilter |
| } |
| return "" |
| } |
| |
| func (x *ExportDataConfig) GetSavedQueryId() string { |
| if x != nil { |
| return x.SavedQueryId |
| } |
| return "" |
| } |
| |
| func (x *ExportDataConfig) GetAnnotationSchemaUri() string { |
| if x != nil { |
| return x.AnnotationSchemaUri |
| } |
| return "" |
| } |
| |
| func (x *ExportDataConfig) GetExportUse() ExportDataConfig_ExportUse { |
| if x != nil { |
| return x.ExportUse |
| } |
| return ExportDataConfig_EXPORT_USE_UNSPECIFIED |
| } |
| |
| type isExportDataConfig_Destination interface { |
| isExportDataConfig_Destination() |
| } |
| |
| type ExportDataConfig_GcsDestination struct { |
| // The Google Cloud Storage location where the output is to be written to. |
| // In the given directory a new directory will be created with name: |
| // `export-data-<dataset-display-name>-<timestamp-of-export-call>` where |
| // timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export |
| // output will be written into that directory. Inside that directory, |
| // annotations with the same schema will be grouped into sub directories |
| // which are named with the corresponding annotations' schema title. Inside |
| // these sub directories, a schema.yaml will be created to describe the |
| // output format. |
| GcsDestination *GcsDestination `protobuf:"bytes,1,opt,name=gcs_destination,json=gcsDestination,proto3,oneof"` |
| } |
| |
| func (*ExportDataConfig_GcsDestination) isExportDataConfig_Destination() {} |
| |
| type isExportDataConfig_Split interface { |
| isExportDataConfig_Split() |
| } |
| |
| type ExportDataConfig_FractionSplit struct { |
| // Split based on fractions defining the size of each set. |
| FractionSplit *ExportFractionSplit `protobuf:"bytes,5,opt,name=fraction_split,json=fractionSplit,proto3,oneof"` |
| } |
| |
| type ExportDataConfig_FilterSplit struct { |
| // Split based on the provided filters for each set. |
| FilterSplit *ExportFilterSplit `protobuf:"bytes,7,opt,name=filter_split,json=filterSplit,proto3,oneof"` |
| } |
| |
| func (*ExportDataConfig_FractionSplit) isExportDataConfig_Split() {} |
| |
| func (*ExportDataConfig_FilterSplit) isExportDataConfig_Split() {} |
| |
| // Assigns the input data to training, validation, and test sets as per the |
| // given fractions. Any of `training_fraction`, `validation_fraction` and |
| // `test_fraction` may optionally be provided, they must sum to up to 1. If the |
| // provided ones sum to less than 1, the remainder is assigned to sets as |
| // decided by Vertex AI. If none of the fractions are set, by default roughly |
| // 80% of data is used for training, 10% for validation, and 10% for test. |
| type ExportFractionSplit struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The fraction of the input data that is to be used to train the Model. |
| TrainingFraction float64 `protobuf:"fixed64,1,opt,name=training_fraction,json=trainingFraction,proto3" json:"training_fraction,omitempty"` |
| // The fraction of the input data that is to be used to validate the Model. |
| ValidationFraction float64 `protobuf:"fixed64,2,opt,name=validation_fraction,json=validationFraction,proto3" json:"validation_fraction,omitempty"` |
| // The fraction of the input data that is to be used to evaluate the Model. |
| TestFraction float64 `protobuf:"fixed64,3,opt,name=test_fraction,json=testFraction,proto3" json:"test_fraction,omitempty"` |
| } |
| |
| func (x *ExportFractionSplit) Reset() { |
| *x = ExportFractionSplit{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_dataset_proto_msgTypes[3] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ExportFractionSplit) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ExportFractionSplit) ProtoMessage() {} |
| |
| func (x *ExportFractionSplit) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_dataset_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 ExportFractionSplit.ProtoReflect.Descriptor instead. |
| func (*ExportFractionSplit) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_dataset_proto_rawDescGZIP(), []int{3} |
| } |
| |
| func (x *ExportFractionSplit) GetTrainingFraction() float64 { |
| if x != nil { |
| return x.TrainingFraction |
| } |
| return 0 |
| } |
| |
| func (x *ExportFractionSplit) GetValidationFraction() float64 { |
| if x != nil { |
| return x.ValidationFraction |
| } |
| return 0 |
| } |
| |
| func (x *ExportFractionSplit) GetTestFraction() float64 { |
| if x != nil { |
| return x.TestFraction |
| } |
| return 0 |
| } |
| |
| // Assigns input data to training, validation, and test sets based on the given |
| // filters, data pieces not matched by any filter are ignored. Currently only |
| // supported for Datasets containing DataItems. |
| // If any of the filters in this message are to match nothing, then they can be |
| // set as '-' (the minus sign). |
| // |
| // Supported only for unstructured Datasets. |
| type ExportFilterSplit struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. A filter on DataItems of the Dataset. DataItems that match |
| // this filter are used to train the Model. A filter with same syntax |
| // as the one used in |
| // [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] |
| // may be used. If a single DataItem is matched by more than one of the |
| // FilterSplit filters, then it is assigned to the first set that applies to |
| // it in the training, validation, test order. |
| TrainingFilter string `protobuf:"bytes,1,opt,name=training_filter,json=trainingFilter,proto3" json:"training_filter,omitempty"` |
| // Required. A filter on DataItems of the Dataset. DataItems that match |
| // this filter are used to validate the Model. A filter with same syntax |
| // as the one used in |
| // [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] |
| // may be used. If a single DataItem is matched by more than one of the |
| // FilterSplit filters, then it is assigned to the first set that applies to |
| // it in the training, validation, test order. |
| ValidationFilter string `protobuf:"bytes,2,opt,name=validation_filter,json=validationFilter,proto3" json:"validation_filter,omitempty"` |
| // Required. A filter on DataItems of the Dataset. DataItems that match |
| // this filter are used to test the Model. A filter with same syntax |
| // as the one used in |
| // [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] |
| // may be used. If a single DataItem is matched by more than one of the |
| // FilterSplit filters, then it is assigned to the first set that applies to |
| // it in the training, validation, test order. |
| TestFilter string `protobuf:"bytes,3,opt,name=test_filter,json=testFilter,proto3" json:"test_filter,omitempty"` |
| } |
| |
| func (x *ExportFilterSplit) Reset() { |
| *x = ExportFilterSplit{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_dataset_proto_msgTypes[4] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ExportFilterSplit) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ExportFilterSplit) ProtoMessage() {} |
| |
| func (x *ExportFilterSplit) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_dataset_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 ExportFilterSplit.ProtoReflect.Descriptor instead. |
| func (*ExportFilterSplit) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_dataset_proto_rawDescGZIP(), []int{4} |
| } |
| |
| func (x *ExportFilterSplit) GetTrainingFilter() string { |
| if x != nil { |
| return x.TrainingFilter |
| } |
| return "" |
| } |
| |
| func (x *ExportFilterSplit) GetValidationFilter() string { |
| if x != nil { |
| return x.ValidationFilter |
| } |
| return "" |
| } |
| |
| func (x *ExportFilterSplit) GetTestFilter() string { |
| if x != nil { |
| return x.TestFilter |
| } |
| return "" |
| } |
| |
| var File_google_cloud_aiplatform_v1_dataset_proto protoreflect.FileDescriptor |
| |
| var file_google_cloud_aiplatform_v1_dataset_proto_rawDesc = []byte{ |
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| } |
| |
| var ( |
| file_google_cloud_aiplatform_v1_dataset_proto_rawDescOnce sync.Once |
| file_google_cloud_aiplatform_v1_dataset_proto_rawDescData = file_google_cloud_aiplatform_v1_dataset_proto_rawDesc |
| ) |
| |
| func file_google_cloud_aiplatform_v1_dataset_proto_rawDescGZIP() []byte { |
| file_google_cloud_aiplatform_v1_dataset_proto_rawDescOnce.Do(func() { |
| file_google_cloud_aiplatform_v1_dataset_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1_dataset_proto_rawDescData) |
| }) |
| return file_google_cloud_aiplatform_v1_dataset_proto_rawDescData |
| } |
| |
| var file_google_cloud_aiplatform_v1_dataset_proto_enumTypes = make([]protoimpl.EnumInfo, 1) |
| var file_google_cloud_aiplatform_v1_dataset_proto_msgTypes = make([]protoimpl.MessageInfo, 8) |
| var file_google_cloud_aiplatform_v1_dataset_proto_goTypes = []interface{}{ |
| (ExportDataConfig_ExportUse)(0), // 0: google.cloud.aiplatform.v1.ExportDataConfig.ExportUse |
| (*Dataset)(nil), // 1: google.cloud.aiplatform.v1.Dataset |
| (*ImportDataConfig)(nil), // 2: google.cloud.aiplatform.v1.ImportDataConfig |
| (*ExportDataConfig)(nil), // 3: google.cloud.aiplatform.v1.ExportDataConfig |
| (*ExportFractionSplit)(nil), // 4: google.cloud.aiplatform.v1.ExportFractionSplit |
| (*ExportFilterSplit)(nil), // 5: google.cloud.aiplatform.v1.ExportFilterSplit |
| nil, // 6: google.cloud.aiplatform.v1.Dataset.LabelsEntry |
| nil, // 7: google.cloud.aiplatform.v1.ImportDataConfig.DataItemLabelsEntry |
| nil, // 8: google.cloud.aiplatform.v1.ImportDataConfig.AnnotationLabelsEntry |
| (*structpb.Value)(nil), // 9: google.protobuf.Value |
| (*timestamppb.Timestamp)(nil), // 10: google.protobuf.Timestamp |
| (*SavedQuery)(nil), // 11: google.cloud.aiplatform.v1.SavedQuery |
| (*EncryptionSpec)(nil), // 12: google.cloud.aiplatform.v1.EncryptionSpec |
| (*GcsSource)(nil), // 13: google.cloud.aiplatform.v1.GcsSource |
| (*GcsDestination)(nil), // 14: google.cloud.aiplatform.v1.GcsDestination |
| } |
| var file_google_cloud_aiplatform_v1_dataset_proto_depIdxs = []int32{ |
| 9, // 0: google.cloud.aiplatform.v1.Dataset.metadata:type_name -> google.protobuf.Value |
| 10, // 1: google.cloud.aiplatform.v1.Dataset.create_time:type_name -> google.protobuf.Timestamp |
| 10, // 2: google.cloud.aiplatform.v1.Dataset.update_time:type_name -> google.protobuf.Timestamp |
| 6, // 3: google.cloud.aiplatform.v1.Dataset.labels:type_name -> google.cloud.aiplatform.v1.Dataset.LabelsEntry |
| 11, // 4: google.cloud.aiplatform.v1.Dataset.saved_queries:type_name -> google.cloud.aiplatform.v1.SavedQuery |
| 12, // 5: google.cloud.aiplatform.v1.Dataset.encryption_spec:type_name -> google.cloud.aiplatform.v1.EncryptionSpec |
| 13, // 6: google.cloud.aiplatform.v1.ImportDataConfig.gcs_source:type_name -> google.cloud.aiplatform.v1.GcsSource |
| 7, // 7: google.cloud.aiplatform.v1.ImportDataConfig.data_item_labels:type_name -> google.cloud.aiplatform.v1.ImportDataConfig.DataItemLabelsEntry |
| 8, // 8: google.cloud.aiplatform.v1.ImportDataConfig.annotation_labels:type_name -> google.cloud.aiplatform.v1.ImportDataConfig.AnnotationLabelsEntry |
| 14, // 9: google.cloud.aiplatform.v1.ExportDataConfig.gcs_destination:type_name -> google.cloud.aiplatform.v1.GcsDestination |
| 4, // 10: google.cloud.aiplatform.v1.ExportDataConfig.fraction_split:type_name -> google.cloud.aiplatform.v1.ExportFractionSplit |
| 5, // 11: google.cloud.aiplatform.v1.ExportDataConfig.filter_split:type_name -> google.cloud.aiplatform.v1.ExportFilterSplit |
| 0, // 12: google.cloud.aiplatform.v1.ExportDataConfig.export_use:type_name -> google.cloud.aiplatform.v1.ExportDataConfig.ExportUse |
| 13, // [13:13] is the sub-list for method output_type |
| 13, // [13:13] is the sub-list for method input_type |
| 13, // [13:13] is the sub-list for extension type_name |
| 13, // [13:13] is the sub-list for extension extendee |
| 0, // [0:13] is the sub-list for field type_name |
| } |
| |
| func init() { file_google_cloud_aiplatform_v1_dataset_proto_init() } |
| func file_google_cloud_aiplatform_v1_dataset_proto_init() { |
| if File_google_cloud_aiplatform_v1_dataset_proto != nil { |
| return |
| } |
| file_google_cloud_aiplatform_v1_encryption_spec_proto_init() |
| file_google_cloud_aiplatform_v1_io_proto_init() |
| file_google_cloud_aiplatform_v1_saved_query_proto_init() |
| if !protoimpl.UnsafeEnabled { |
| file_google_cloud_aiplatform_v1_dataset_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*Dataset); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_dataset_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ImportDataConfig); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_dataset_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ExportDataConfig); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_dataset_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ExportFractionSplit); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_dataset_proto_msgTypes[4].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ExportFilterSplit); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| } |
| file_google_cloud_aiplatform_v1_dataset_proto_msgTypes[1].OneofWrappers = []interface{}{ |
| (*ImportDataConfig_GcsSource)(nil), |
| } |
| file_google_cloud_aiplatform_v1_dataset_proto_msgTypes[2].OneofWrappers = []interface{}{ |
| (*ExportDataConfig_GcsDestination)(nil), |
| (*ExportDataConfig_FractionSplit)(nil), |
| (*ExportDataConfig_FilterSplit)(nil), |
| } |
| type x struct{} |
| out := protoimpl.TypeBuilder{ |
| File: protoimpl.DescBuilder{ |
| GoPackagePath: reflect.TypeOf(x{}).PkgPath(), |
| RawDescriptor: file_google_cloud_aiplatform_v1_dataset_proto_rawDesc, |
| NumEnums: 1, |
| NumMessages: 8, |
| NumExtensions: 0, |
| NumServices: 0, |
| }, |
| GoTypes: file_google_cloud_aiplatform_v1_dataset_proto_goTypes, |
| DependencyIndexes: file_google_cloud_aiplatform_v1_dataset_proto_depIdxs, |
| EnumInfos: file_google_cloud_aiplatform_v1_dataset_proto_enumTypes, |
| MessageInfos: file_google_cloud_aiplatform_v1_dataset_proto_msgTypes, |
| }.Build() |
| File_google_cloud_aiplatform_v1_dataset_proto = out.File |
| file_google_cloud_aiplatform_v1_dataset_proto_rawDesc = nil |
| file_google_cloud_aiplatform_v1_dataset_proto_goTypes = nil |
| file_google_cloud_aiplatform_v1_dataset_proto_depIdxs = nil |
| } |
