| // 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/text_sentiment.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 |
| |
| // Contains annotation details specific to text sentiment. |
| type TextSentimentAnnotation struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Output only. The sentiment with the semantic, as given to the |
| // [AutoMl.ImportData][google.cloud.automl.v1beta1.AutoMl.ImportData] when populating the dataset from which the model used |
| // for the prediction had been trained. |
| // The sentiment values are between 0 and |
| // Dataset.text_sentiment_dataset_metadata.sentiment_max (inclusive), |
| // with higher value meaning more positive sentiment. They are completely |
| // relative, i.e. 0 means least positive sentiment and sentiment_max means |
| // the most positive from the sentiments present in the train data. Therefore |
| // e.g. if train data had only negative sentiment, then sentiment_max, would |
| // be still negative (although least negative). |
| // The sentiment shouldn't be confused with "score" or "magnitude" |
| // from the previous Natural Language Sentiment Analysis API. |
| Sentiment int32 `protobuf:"varint,1,opt,name=sentiment,proto3" json:"sentiment,omitempty"` |
| } |
| |
| func (x *TextSentimentAnnotation) Reset() { |
| *x = TextSentimentAnnotation{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1beta1_text_sentiment_proto_msgTypes[0] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *TextSentimentAnnotation) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*TextSentimentAnnotation) ProtoMessage() {} |
| |
| func (x *TextSentimentAnnotation) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1beta1_text_sentiment_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 TextSentimentAnnotation.ProtoReflect.Descriptor instead. |
| func (*TextSentimentAnnotation) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1beta1_text_sentiment_proto_rawDescGZIP(), []int{0} |
| } |
| |
| func (x *TextSentimentAnnotation) GetSentiment() int32 { |
| if x != nil { |
| return x.Sentiment |
| } |
| return 0 |
| } |
| |
| // Model evaluation metrics for text sentiment problems. |
| type TextSentimentEvaluationMetrics struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Output only. Precision. |
| Precision float32 `protobuf:"fixed32,1,opt,name=precision,proto3" json:"precision,omitempty"` |
| // Output only. Recall. |
| Recall float32 `protobuf:"fixed32,2,opt,name=recall,proto3" json:"recall,omitempty"` |
| // Output only. The harmonic mean of recall and precision. |
| F1Score float32 `protobuf:"fixed32,3,opt,name=f1_score,json=f1Score,proto3" json:"f1_score,omitempty"` |
| // Output only. Mean absolute error. Only set for the overall model |
| // evaluation, not for evaluation of a single annotation spec. |
| MeanAbsoluteError float32 `protobuf:"fixed32,4,opt,name=mean_absolute_error,json=meanAbsoluteError,proto3" json:"mean_absolute_error,omitempty"` |
| // Output only. Mean squared error. Only set for the overall model |
| // evaluation, not for evaluation of a single annotation spec. |
| MeanSquaredError float32 `protobuf:"fixed32,5,opt,name=mean_squared_error,json=meanSquaredError,proto3" json:"mean_squared_error,omitempty"` |
| // Output only. Linear weighted kappa. Only set for the overall model |
| // evaluation, not for evaluation of a single annotation spec. |
| LinearKappa float32 `protobuf:"fixed32,6,opt,name=linear_kappa,json=linearKappa,proto3" json:"linear_kappa,omitempty"` |
| // Output only. Quadratic weighted kappa. Only set for the overall model |
| // evaluation, not for evaluation of a single annotation spec. |
| QuadraticKappa float32 `protobuf:"fixed32,7,opt,name=quadratic_kappa,json=quadraticKappa,proto3" json:"quadratic_kappa,omitempty"` |
| // Output only. Confusion matrix of the evaluation. |
| // Only set for the overall model evaluation, not for evaluation of a single |
| // annotation spec. |
| ConfusionMatrix *ClassificationEvaluationMetrics_ConfusionMatrix `protobuf:"bytes,8,opt,name=confusion_matrix,json=confusionMatrix,proto3" json:"confusion_matrix,omitempty"` |
| // Output only. The annotation spec ids used for this evaluation. |
| // Deprecated . |
| // |
| // Deprecated: Do not use. |
| AnnotationSpecId []string `protobuf:"bytes,9,rep,name=annotation_spec_id,json=annotationSpecId,proto3" json:"annotation_spec_id,omitempty"` |
| } |
| |
| func (x *TextSentimentEvaluationMetrics) Reset() { |
| *x = TextSentimentEvaluationMetrics{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1beta1_text_sentiment_proto_msgTypes[1] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *TextSentimentEvaluationMetrics) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*TextSentimentEvaluationMetrics) ProtoMessage() {} |
| |
| func (x *TextSentimentEvaluationMetrics) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1beta1_text_sentiment_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 TextSentimentEvaluationMetrics.ProtoReflect.Descriptor instead. |
| func (*TextSentimentEvaluationMetrics) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1beta1_text_sentiment_proto_rawDescGZIP(), []int{1} |
| } |
| |
| func (x *TextSentimentEvaluationMetrics) GetPrecision() float32 { |
| if x != nil { |
| return x.Precision |
| } |
| return 0 |
| } |
| |
| func (x *TextSentimentEvaluationMetrics) GetRecall() float32 { |
| if x != nil { |
| return x.Recall |
| } |
| return 0 |
| } |
| |
| func (x *TextSentimentEvaluationMetrics) GetF1Score() float32 { |
| if x != nil { |
| return x.F1Score |
| } |
| return 0 |
| } |
| |
| func (x *TextSentimentEvaluationMetrics) GetMeanAbsoluteError() float32 { |
| if x != nil { |
| return x.MeanAbsoluteError |
| } |
| return 0 |
| } |
| |
| func (x *TextSentimentEvaluationMetrics) GetMeanSquaredError() float32 { |
| if x != nil { |
| return x.MeanSquaredError |
| } |
| return 0 |
| } |
| |
| func (x *TextSentimentEvaluationMetrics) GetLinearKappa() float32 { |
| if x != nil { |
| return x.LinearKappa |
| } |
| return 0 |
| } |
| |
| func (x *TextSentimentEvaluationMetrics) GetQuadraticKappa() float32 { |
| if x != nil { |
| return x.QuadraticKappa |
| } |
| return 0 |
| } |
| |
| func (x *TextSentimentEvaluationMetrics) GetConfusionMatrix() *ClassificationEvaluationMetrics_ConfusionMatrix { |
| if x != nil { |
| return x.ConfusionMatrix |
| } |
| return nil |
| } |
| |
| // Deprecated: Do not use. |
| func (x *TextSentimentEvaluationMetrics) GetAnnotationSpecId() []string { |
| if x != nil { |
| return x.AnnotationSpecId |
| } |
| return nil |
| } |
| |
| var File_google_cloud_automl_v1beta1_text_sentiment_proto protoreflect.FileDescriptor |
| |
| var file_google_cloud_automl_v1beta1_text_sentiment_proto_rawDesc = []byte{ |
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| } |
| |
| var ( |
| file_google_cloud_automl_v1beta1_text_sentiment_proto_rawDescOnce sync.Once |
| file_google_cloud_automl_v1beta1_text_sentiment_proto_rawDescData = file_google_cloud_automl_v1beta1_text_sentiment_proto_rawDesc |
| ) |
| |
| func file_google_cloud_automl_v1beta1_text_sentiment_proto_rawDescGZIP() []byte { |
| file_google_cloud_automl_v1beta1_text_sentiment_proto_rawDescOnce.Do(func() { |
| file_google_cloud_automl_v1beta1_text_sentiment_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_automl_v1beta1_text_sentiment_proto_rawDescData) |
| }) |
| return file_google_cloud_automl_v1beta1_text_sentiment_proto_rawDescData |
| } |
| |
| var file_google_cloud_automl_v1beta1_text_sentiment_proto_msgTypes = make([]protoimpl.MessageInfo, 2) |
| var file_google_cloud_automl_v1beta1_text_sentiment_proto_goTypes = []interface{}{ |
| (*TextSentimentAnnotation)(nil), // 0: google.cloud.automl.v1beta1.TextSentimentAnnotation |
| (*TextSentimentEvaluationMetrics)(nil), // 1: google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics |
| (*ClassificationEvaluationMetrics_ConfusionMatrix)(nil), // 2: google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix |
| } |
| var file_google_cloud_automl_v1beta1_text_sentiment_proto_depIdxs = []int32{ |
| 2, // 0: google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics.confusion_matrix:type_name -> google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix |
| 1, // [1:1] is the sub-list for method output_type |
| 1, // [1:1] is the sub-list for method input_type |
| 1, // [1:1] is the sub-list for extension type_name |
| 1, // [1:1] is the sub-list for extension extendee |
| 0, // [0:1] is the sub-list for field type_name |
| } |
| |
| func init() { file_google_cloud_automl_v1beta1_text_sentiment_proto_init() } |
| func file_google_cloud_automl_v1beta1_text_sentiment_proto_init() { |
| if File_google_cloud_automl_v1beta1_text_sentiment_proto != nil { |
| return |
| } |
| file_google_cloud_automl_v1beta1_classification_proto_init() |
| if !protoimpl.UnsafeEnabled { |
| file_google_cloud_automl_v1beta1_text_sentiment_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*TextSentimentAnnotation); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1beta1_text_sentiment_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*TextSentimentEvaluationMetrics); 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_v1beta1_text_sentiment_proto_rawDesc, |
| NumEnums: 0, |
| NumMessages: 2, |
| NumExtensions: 0, |
| NumServices: 0, |
| }, |
| GoTypes: file_google_cloud_automl_v1beta1_text_sentiment_proto_goTypes, |
| DependencyIndexes: file_google_cloud_automl_v1beta1_text_sentiment_proto_depIdxs, |
| MessageInfos: file_google_cloud_automl_v1beta1_text_sentiment_proto_msgTypes, |
| }.Build() |
| File_google_cloud_automl_v1beta1_text_sentiment_proto = out.File |
| file_google_cloud_automl_v1beta1_text_sentiment_proto_rawDesc = nil |
| file_google_cloud_automl_v1beta1_text_sentiment_proto_goTypes = nil |
| file_google_cloud_automl_v1beta1_text_sentiment_proto_depIdxs = nil |
| } |
