| // 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/v1/text.proto |
| |
| package automl |
| |
| import ( |
| reflect "reflect" |
| sync "sync" |
| |
| proto "github.com/golang/protobuf/proto" |
| _ "google.golang.org/genproto/googleapis/api/annotations" |
| 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 |
| |
| // Dataset metadata for classification. |
| type TextClassificationDatasetMetadata struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. Type of the classification problem. |
| ClassificationType ClassificationType `protobuf:"varint,1,opt,name=classification_type,json=classificationType,proto3,enum=google.cloud.automl.v1.ClassificationType" json:"classification_type,omitempty"` |
| } |
| |
| func (x *TextClassificationDatasetMetadata) Reset() { |
| *x = TextClassificationDatasetMetadata{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1_text_proto_msgTypes[0] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *TextClassificationDatasetMetadata) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*TextClassificationDatasetMetadata) ProtoMessage() {} |
| |
| func (x *TextClassificationDatasetMetadata) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1_text_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 TextClassificationDatasetMetadata.ProtoReflect.Descriptor instead. |
| func (*TextClassificationDatasetMetadata) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1_text_proto_rawDescGZIP(), []int{0} |
| } |
| |
| func (x *TextClassificationDatasetMetadata) GetClassificationType() ClassificationType { |
| if x != nil { |
| return x.ClassificationType |
| } |
| return ClassificationType_CLASSIFICATION_TYPE_UNSPECIFIED |
| } |
| |
| // Model metadata that is specific to text classification. |
| type TextClassificationModelMetadata struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Output only. Classification type of the dataset used to train this model. |
| ClassificationType ClassificationType `protobuf:"varint,3,opt,name=classification_type,json=classificationType,proto3,enum=google.cloud.automl.v1.ClassificationType" json:"classification_type,omitempty"` |
| } |
| |
| func (x *TextClassificationModelMetadata) Reset() { |
| *x = TextClassificationModelMetadata{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1_text_proto_msgTypes[1] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *TextClassificationModelMetadata) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*TextClassificationModelMetadata) ProtoMessage() {} |
| |
| func (x *TextClassificationModelMetadata) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1_text_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 TextClassificationModelMetadata.ProtoReflect.Descriptor instead. |
| func (*TextClassificationModelMetadata) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1_text_proto_rawDescGZIP(), []int{1} |
| } |
| |
| func (x *TextClassificationModelMetadata) GetClassificationType() ClassificationType { |
| if x != nil { |
| return x.ClassificationType |
| } |
| return ClassificationType_CLASSIFICATION_TYPE_UNSPECIFIED |
| } |
| |
| // Dataset metadata that is specific to text extraction |
| type TextExtractionDatasetMetadata struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| } |
| |
| func (x *TextExtractionDatasetMetadata) Reset() { |
| *x = TextExtractionDatasetMetadata{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1_text_proto_msgTypes[2] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *TextExtractionDatasetMetadata) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*TextExtractionDatasetMetadata) ProtoMessage() {} |
| |
| func (x *TextExtractionDatasetMetadata) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1_text_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 TextExtractionDatasetMetadata.ProtoReflect.Descriptor instead. |
| func (*TextExtractionDatasetMetadata) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1_text_proto_rawDescGZIP(), []int{2} |
| } |
| |
| // Model metadata that is specific to text extraction. |
| type TextExtractionModelMetadata struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| } |
| |
| func (x *TextExtractionModelMetadata) Reset() { |
| *x = TextExtractionModelMetadata{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1_text_proto_msgTypes[3] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *TextExtractionModelMetadata) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*TextExtractionModelMetadata) ProtoMessage() {} |
| |
| func (x *TextExtractionModelMetadata) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1_text_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 TextExtractionModelMetadata.ProtoReflect.Descriptor instead. |
| func (*TextExtractionModelMetadata) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1_text_proto_rawDescGZIP(), []int{3} |
| } |
| |
| // Dataset metadata for text sentiment. |
| type TextSentimentDatasetMetadata struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. A sentiment is expressed as an integer ordinal, where higher value |
| // means a more positive sentiment. The range of sentiments that will be used |
| // is between 0 and sentiment_max (inclusive on both ends), and all the values |
| // in the range must be represented in the dataset before a model can be |
| // created. |
| // sentiment_max value must be between 1 and 10 (inclusive). |
| SentimentMax int32 `protobuf:"varint,1,opt,name=sentiment_max,json=sentimentMax,proto3" json:"sentiment_max,omitempty"` |
| } |
| |
| func (x *TextSentimentDatasetMetadata) Reset() { |
| *x = TextSentimentDatasetMetadata{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1_text_proto_msgTypes[4] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *TextSentimentDatasetMetadata) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*TextSentimentDatasetMetadata) ProtoMessage() {} |
| |
| func (x *TextSentimentDatasetMetadata) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1_text_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 TextSentimentDatasetMetadata.ProtoReflect.Descriptor instead. |
| func (*TextSentimentDatasetMetadata) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1_text_proto_rawDescGZIP(), []int{4} |
| } |
| |
| func (x *TextSentimentDatasetMetadata) GetSentimentMax() int32 { |
| if x != nil { |
| return x.SentimentMax |
| } |
| return 0 |
| } |
| |
| // Model metadata that is specific to text sentiment. |
| type TextSentimentModelMetadata struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| } |
| |
| func (x *TextSentimentModelMetadata) Reset() { |
| *x = TextSentimentModelMetadata{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1_text_proto_msgTypes[5] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *TextSentimentModelMetadata) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*TextSentimentModelMetadata) ProtoMessage() {} |
| |
| func (x *TextSentimentModelMetadata) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1_text_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 TextSentimentModelMetadata.ProtoReflect.Descriptor instead. |
| func (*TextSentimentModelMetadata) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1_text_proto_rawDescGZIP(), []int{5} |
| } |
| |
| var File_google_cloud_automl_v1_text_proto protoreflect.FileDescriptor |
| |
| var file_google_cloud_automl_v1_text_proto_rawDesc = []byte{ |
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| } |
| |
| var ( |
| file_google_cloud_automl_v1_text_proto_rawDescOnce sync.Once |
| file_google_cloud_automl_v1_text_proto_rawDescData = file_google_cloud_automl_v1_text_proto_rawDesc |
| ) |
| |
| func file_google_cloud_automl_v1_text_proto_rawDescGZIP() []byte { |
| file_google_cloud_automl_v1_text_proto_rawDescOnce.Do(func() { |
| file_google_cloud_automl_v1_text_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_automl_v1_text_proto_rawDescData) |
| }) |
| return file_google_cloud_automl_v1_text_proto_rawDescData |
| } |
| |
| var file_google_cloud_automl_v1_text_proto_msgTypes = make([]protoimpl.MessageInfo, 6) |
| var file_google_cloud_automl_v1_text_proto_goTypes = []interface{}{ |
| (*TextClassificationDatasetMetadata)(nil), // 0: google.cloud.automl.v1.TextClassificationDatasetMetadata |
| (*TextClassificationModelMetadata)(nil), // 1: google.cloud.automl.v1.TextClassificationModelMetadata |
| (*TextExtractionDatasetMetadata)(nil), // 2: google.cloud.automl.v1.TextExtractionDatasetMetadata |
| (*TextExtractionModelMetadata)(nil), // 3: google.cloud.automl.v1.TextExtractionModelMetadata |
| (*TextSentimentDatasetMetadata)(nil), // 4: google.cloud.automl.v1.TextSentimentDatasetMetadata |
| (*TextSentimentModelMetadata)(nil), // 5: google.cloud.automl.v1.TextSentimentModelMetadata |
| (ClassificationType)(0), // 6: google.cloud.automl.v1.ClassificationType |
| } |
| var file_google_cloud_automl_v1_text_proto_depIdxs = []int32{ |
| 6, // 0: google.cloud.automl.v1.TextClassificationDatasetMetadata.classification_type:type_name -> google.cloud.automl.v1.ClassificationType |
| 6, // 1: google.cloud.automl.v1.TextClassificationModelMetadata.classification_type:type_name -> google.cloud.automl.v1.ClassificationType |
| 2, // [2:2] is the sub-list for method output_type |
| 2, // [2:2] is the sub-list for method input_type |
| 2, // [2:2] is the sub-list for extension type_name |
| 2, // [2:2] is the sub-list for extension extendee |
| 0, // [0:2] is the sub-list for field type_name |
| } |
| |
| func init() { file_google_cloud_automl_v1_text_proto_init() } |
| func file_google_cloud_automl_v1_text_proto_init() { |
| if File_google_cloud_automl_v1_text_proto != nil { |
| return |
| } |
| file_google_cloud_automl_v1_classification_proto_init() |
| if !protoimpl.UnsafeEnabled { |
| file_google_cloud_automl_v1_text_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*TextClassificationDatasetMetadata); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1_text_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*TextClassificationModelMetadata); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1_text_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*TextExtractionDatasetMetadata); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1_text_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*TextExtractionModelMetadata); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1_text_proto_msgTypes[4].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*TextSentimentDatasetMetadata); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1_text_proto_msgTypes[5].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*TextSentimentModelMetadata); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| } |
| type x struct{} |
| out := protoimpl.TypeBuilder{ |
| File: protoimpl.DescBuilder{ |
| GoPackagePath: reflect.TypeOf(x{}).PkgPath(), |
| RawDescriptor: file_google_cloud_automl_v1_text_proto_rawDesc, |
| NumEnums: 0, |
| NumMessages: 6, |
| NumExtensions: 0, |
| NumServices: 0, |
| }, |
| GoTypes: file_google_cloud_automl_v1_text_proto_goTypes, |
| DependencyIndexes: file_google_cloud_automl_v1_text_proto_depIdxs, |
| MessageInfos: file_google_cloud_automl_v1_text_proto_msgTypes, |
| }.Build() |
| File_google_cloud_automl_v1_text_proto = out.File |
| file_google_cloud_automl_v1_text_proto_rawDesc = nil |
| file_google_cloud_automl_v1_text_proto_goTypes = nil |
| file_google_cloud_automl_v1_text_proto_depIdxs = nil |
| } |
