1// Copyright 2020 Google LLC 2// 3// Licensed under the Apache License, Version 2.0 (the "License"); 4// you may not use this file except in compliance with the License. 5// You may obtain a copy of the License at 6// 7// http://www.apache.org/licenses/LICENSE-2.0 8// 9// Unless required by applicable law or agreed to in writing, software 10// distributed under the License is distributed on an "AS IS" BASIS, 11// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12// See the License for the specific language governing permissions and 13// limitations under the License. 14 15// Code generated by protoc-gen-go. DO NOT EDIT. 16// versions: 17// protoc-gen-go v1.26.0 18// protoc v3.12.2 19// source: google/cloud/automl/v1/classification.proto 20 21package automl 22 23import ( 24 reflect "reflect" 25 sync "sync" 26 27 _ "google.golang.org/genproto/googleapis/api/annotations" 28 protoreflect "google.golang.org/protobuf/reflect/protoreflect" 29 protoimpl "google.golang.org/protobuf/runtime/protoimpl" 30) 31 32const ( 33 // Verify that this generated code is sufficiently up-to-date. 34 _ = protoimpl.EnforceVersion(20 - protoimpl.MinVersion) 35 // Verify that runtime/protoimpl is sufficiently up-to-date. 36 _ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20) 37) 38 39// Type of the classification problem. 40type ClassificationType int32 41 42const ( 43 // An un-set value of this enum. 44 ClassificationType_CLASSIFICATION_TYPE_UNSPECIFIED ClassificationType = 0 45 // At most one label is allowed per example. 46 ClassificationType_MULTICLASS ClassificationType = 1 47 // Multiple labels are allowed for one example. 48 ClassificationType_MULTILABEL ClassificationType = 2 49) 50 51// Enum value maps for ClassificationType. 52var ( 53 ClassificationType_name = map[int32]string{ 54 0: "CLASSIFICATION_TYPE_UNSPECIFIED", 55 1: "MULTICLASS", 56 2: "MULTILABEL", 57 } 58 ClassificationType_value = map[string]int32{ 59 "CLASSIFICATION_TYPE_UNSPECIFIED": 0, 60 "MULTICLASS": 1, 61 "MULTILABEL": 2, 62 } 63) 64 65func (x ClassificationType) Enum() *ClassificationType { 66 p := new(ClassificationType) 67 *p = x 68 return p 69} 70 71func (x ClassificationType) String() string { 72 return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x)) 73} 74 75func (ClassificationType) Descriptor() protoreflect.EnumDescriptor { 76 return file_google_cloud_automl_v1_classification_proto_enumTypes[0].Descriptor() 77} 78 79func (ClassificationType) Type() protoreflect.EnumType { 80 return &file_google_cloud_automl_v1_classification_proto_enumTypes[0] 81} 82 83func (x ClassificationType) Number() protoreflect.EnumNumber { 84 return protoreflect.EnumNumber(x) 85} 86 87// Deprecated: Use ClassificationType.Descriptor instead. 88func (ClassificationType) EnumDescriptor() ([]byte, []int) { 89 return file_google_cloud_automl_v1_classification_proto_rawDescGZIP(), []int{0} 90} 91 92// Contains annotation details specific to classification. 93type ClassificationAnnotation struct { 94 state protoimpl.MessageState 95 sizeCache protoimpl.SizeCache 96 unknownFields protoimpl.UnknownFields 97 98 // Output only. A confidence estimate between 0.0 and 1.0. A higher value 99 // means greater confidence that the annotation is positive. If a user 100 // approves an annotation as negative or positive, the score value remains 101 // unchanged. If a user creates an annotation, the score is 0 for negative or 102 // 1 for positive. 103 Score float32 `protobuf:"fixed32,1,opt,name=score,proto3" json:"score,omitempty"` 104} 105 106func (x *ClassificationAnnotation) Reset() { 107 *x = ClassificationAnnotation{} 108 if protoimpl.UnsafeEnabled { 109 mi := &file_google_cloud_automl_v1_classification_proto_msgTypes[0] 110 ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) 111 ms.StoreMessageInfo(mi) 112 } 113} 114 115func (x *ClassificationAnnotation) String() string { 116 return protoimpl.X.MessageStringOf(x) 117} 118 119func (*ClassificationAnnotation) ProtoMessage() {} 120 121func (x *ClassificationAnnotation) ProtoReflect() protoreflect.Message { 122 mi := &file_google_cloud_automl_v1_classification_proto_msgTypes[0] 123 if protoimpl.UnsafeEnabled && x != nil { 124 ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) 125 if ms.LoadMessageInfo() == nil { 126 ms.StoreMessageInfo(mi) 127 } 128 return ms 129 } 130 return mi.MessageOf(x) 131} 132 133// Deprecated: Use ClassificationAnnotation.ProtoReflect.Descriptor instead. 134func (*ClassificationAnnotation) Descriptor() ([]byte, []int) { 135 return file_google_cloud_automl_v1_classification_proto_rawDescGZIP(), []int{0} 136} 137 138func (x *ClassificationAnnotation) GetScore() float32 { 139 if x != nil { 140 return x.Score 141 } 142 return 0 143} 144 145// Model evaluation metrics for classification problems. 146// Note: For Video Classification this metrics only describe quality of the 147// Video Classification predictions of "segment_classification" type. 148type ClassificationEvaluationMetrics struct { 149 state protoimpl.MessageState 150 sizeCache protoimpl.SizeCache 151 unknownFields protoimpl.UnknownFields 152 153 // Output only. The Area Under Precision-Recall Curve metric. Micro-averaged 154 // for the overall evaluation. 155 AuPrc float32 `protobuf:"fixed32,1,opt,name=au_prc,json=auPrc,proto3" json:"au_prc,omitempty"` 156 // Output only. The Area Under Receiver Operating Characteristic curve metric. 157 // Micro-averaged for the overall evaluation. 158 AuRoc float32 `protobuf:"fixed32,6,opt,name=au_roc,json=auRoc,proto3" json:"au_roc,omitempty"` 159 // Output only. The Log Loss metric. 160 LogLoss float32 `protobuf:"fixed32,7,opt,name=log_loss,json=logLoss,proto3" json:"log_loss,omitempty"` 161 // Output only. Metrics for each confidence_threshold in 162 // 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and 163 // position_threshold = INT32_MAX_VALUE. 164 // ROC and precision-recall curves, and other aggregated metrics are derived 165 // from them. The confidence metrics entries may also be supplied for 166 // additional values of position_threshold, but from these no aggregated 167 // metrics are computed. 168 ConfidenceMetricsEntry []*ClassificationEvaluationMetrics_ConfidenceMetricsEntry `protobuf:"bytes,3,rep,name=confidence_metrics_entry,json=confidenceMetricsEntry,proto3" json:"confidence_metrics_entry,omitempty"` 169 // Output only. Confusion matrix of the evaluation. 170 // Only set for MULTICLASS classification problems where number 171 // of labels is no more than 10. 172 // Only set for model level evaluation, not for evaluation per label. 173 ConfusionMatrix *ClassificationEvaluationMetrics_ConfusionMatrix `protobuf:"bytes,4,opt,name=confusion_matrix,json=confusionMatrix,proto3" json:"confusion_matrix,omitempty"` 174 // Output only. The annotation spec ids used for this evaluation. 175 AnnotationSpecId []string `protobuf:"bytes,5,rep,name=annotation_spec_id,json=annotationSpecId,proto3" json:"annotation_spec_id,omitempty"` 176} 177 178func (x *ClassificationEvaluationMetrics) Reset() { 179 *x = ClassificationEvaluationMetrics{} 180 if protoimpl.UnsafeEnabled { 181 mi := &file_google_cloud_automl_v1_classification_proto_msgTypes[1] 182 ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) 183 ms.StoreMessageInfo(mi) 184 } 185} 186 187func (x *ClassificationEvaluationMetrics) String() string { 188 return protoimpl.X.MessageStringOf(x) 189} 190 191func (*ClassificationEvaluationMetrics) ProtoMessage() {} 192 193func (x *ClassificationEvaluationMetrics) ProtoReflect() protoreflect.Message { 194 mi := &file_google_cloud_automl_v1_classification_proto_msgTypes[1] 195 if protoimpl.UnsafeEnabled && x != nil { 196 ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) 197 if ms.LoadMessageInfo() == nil { 198 ms.StoreMessageInfo(mi) 199 } 200 return ms 201 } 202 return mi.MessageOf(x) 203} 204 205// Deprecated: Use ClassificationEvaluationMetrics.ProtoReflect.Descriptor instead. 206func (*ClassificationEvaluationMetrics) Descriptor() ([]byte, []int) { 207 return file_google_cloud_automl_v1_classification_proto_rawDescGZIP(), []int{1} 208} 209 210func (x *ClassificationEvaluationMetrics) GetAuPrc() float32 { 211 if x != nil { 212 return x.AuPrc 213 } 214 return 0 215} 216 217func (x *ClassificationEvaluationMetrics) GetAuRoc() float32 { 218 if x != nil { 219 return x.AuRoc 220 } 221 return 0 222} 223 224func (x *ClassificationEvaluationMetrics) GetLogLoss() float32 { 225 if x != nil { 226 return x.LogLoss 227 } 228 return 0 229} 230 231func (x *ClassificationEvaluationMetrics) GetConfidenceMetricsEntry() []*ClassificationEvaluationMetrics_ConfidenceMetricsEntry { 232 if x != nil { 233 return x.ConfidenceMetricsEntry 234 } 235 return nil 236} 237 238func (x *ClassificationEvaluationMetrics) GetConfusionMatrix() *ClassificationEvaluationMetrics_ConfusionMatrix { 239 if x != nil { 240 return x.ConfusionMatrix 241 } 242 return nil 243} 244 245func (x *ClassificationEvaluationMetrics) GetAnnotationSpecId() []string { 246 if x != nil { 247 return x.AnnotationSpecId 248 } 249 return nil 250} 251 252// Metrics for a single confidence threshold. 253type ClassificationEvaluationMetrics_ConfidenceMetricsEntry struct { 254 state protoimpl.MessageState 255 sizeCache protoimpl.SizeCache 256 unknownFields protoimpl.UnknownFields 257 258 // Output only. Metrics are computed with an assumption that the model 259 // never returns predictions with score lower than this value. 260 ConfidenceThreshold float32 `protobuf:"fixed32,1,opt,name=confidence_threshold,json=confidenceThreshold,proto3" json:"confidence_threshold,omitempty"` 261 // Output only. Metrics are computed with an assumption that the model 262 // always returns at most this many predictions (ordered by their score, 263 // descendingly), but they all still need to meet the confidence_threshold. 264 PositionThreshold int32 `protobuf:"varint,14,opt,name=position_threshold,json=positionThreshold,proto3" json:"position_threshold,omitempty"` 265 // Output only. Recall (True Positive Rate) for the given confidence 266 // threshold. 267 Recall float32 `protobuf:"fixed32,2,opt,name=recall,proto3" json:"recall,omitempty"` 268 // Output only. Precision for the given confidence threshold. 269 Precision float32 `protobuf:"fixed32,3,opt,name=precision,proto3" json:"precision,omitempty"` 270 // Output only. False Positive Rate for the given confidence threshold. 271 FalsePositiveRate float32 `protobuf:"fixed32,8,opt,name=false_positive_rate,json=falsePositiveRate,proto3" json:"false_positive_rate,omitempty"` 272 // Output only. The harmonic mean of recall and precision. 273 F1Score float32 `protobuf:"fixed32,4,opt,name=f1_score,json=f1Score,proto3" json:"f1_score,omitempty"` 274 // Output only. The Recall (True Positive Rate) when only considering the 275 // label that has the highest prediction score and not below the confidence 276 // threshold for each example. 277 RecallAt1 float32 `protobuf:"fixed32,5,opt,name=recall_at1,json=recallAt1,proto3" json:"recall_at1,omitempty"` 278 // Output only. The precision when only considering the label that has the 279 // highest prediction score and not below the confidence threshold for each 280 // example. 281 PrecisionAt1 float32 `protobuf:"fixed32,6,opt,name=precision_at1,json=precisionAt1,proto3" json:"precision_at1,omitempty"` 282 // Output only. The False Positive Rate when only considering the label that 283 // has the highest prediction score and not below the confidence threshold 284 // for each example. 285 FalsePositiveRateAt1 float32 `protobuf:"fixed32,9,opt,name=false_positive_rate_at1,json=falsePositiveRateAt1,proto3" json:"false_positive_rate_at1,omitempty"` 286 // Output only. The harmonic mean of [recall_at1][google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.recall_at1] and [precision_at1][google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.precision_at1]. 287 F1ScoreAt1 float32 `protobuf:"fixed32,7,opt,name=f1_score_at1,json=f1ScoreAt1,proto3" json:"f1_score_at1,omitempty"` 288 // Output only. The number of model created labels that match a ground truth 289 // label. 290 TruePositiveCount int64 `protobuf:"varint,10,opt,name=true_positive_count,json=truePositiveCount,proto3" json:"true_positive_count,omitempty"` 291 // Output only. The number of model created labels that do not match a 292 // ground truth label. 293 FalsePositiveCount int64 `protobuf:"varint,11,opt,name=false_positive_count,json=falsePositiveCount,proto3" json:"false_positive_count,omitempty"` 294 // Output only. The number of ground truth labels that are not matched 295 // by a model created label. 296 FalseNegativeCount int64 `protobuf:"varint,12,opt,name=false_negative_count,json=falseNegativeCount,proto3" json:"false_negative_count,omitempty"` 297 // Output only. The number of labels that were not created by the model, 298 // but if they would, they would not match a ground truth label. 299 TrueNegativeCount int64 `protobuf:"varint,13,opt,name=true_negative_count,json=trueNegativeCount,proto3" json:"true_negative_count,omitempty"` 300} 301 302func (x *ClassificationEvaluationMetrics_ConfidenceMetricsEntry) Reset() { 303 *x = ClassificationEvaluationMetrics_ConfidenceMetricsEntry{} 304 if protoimpl.UnsafeEnabled { 305 mi := &file_google_cloud_automl_v1_classification_proto_msgTypes[2] 306 ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) 307 ms.StoreMessageInfo(mi) 308 } 309} 310 311func (x *ClassificationEvaluationMetrics_ConfidenceMetricsEntry) String() string { 312 return protoimpl.X.MessageStringOf(x) 313} 314 315func (*ClassificationEvaluationMetrics_ConfidenceMetricsEntry) ProtoMessage() {} 316 317func (x *ClassificationEvaluationMetrics_ConfidenceMetricsEntry) ProtoReflect() protoreflect.Message { 318 mi := &file_google_cloud_automl_v1_classification_proto_msgTypes[2] 319 if protoimpl.UnsafeEnabled && x != nil { 320 ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) 321 if ms.LoadMessageInfo() == nil { 322 ms.StoreMessageInfo(mi) 323 } 324 return ms 325 } 326 return mi.MessageOf(x) 327} 328 329// Deprecated: Use ClassificationEvaluationMetrics_ConfidenceMetricsEntry.ProtoReflect.Descriptor instead. 330func (*ClassificationEvaluationMetrics_ConfidenceMetricsEntry) Descriptor() ([]byte, []int) { 331 return file_google_cloud_automl_v1_classification_proto_rawDescGZIP(), []int{1, 0} 332} 333 334func (x *ClassificationEvaluationMetrics_ConfidenceMetricsEntry) GetConfidenceThreshold() float32 { 335 if x != nil { 336 return x.ConfidenceThreshold 337 } 338 return 0 339} 340 341func (x *ClassificationEvaluationMetrics_ConfidenceMetricsEntry) GetPositionThreshold() int32 { 342 if x != nil { 343 return x.PositionThreshold 344 } 345 return 0 346} 347 348func (x *ClassificationEvaluationMetrics_ConfidenceMetricsEntry) GetRecall() float32 { 349 if x != nil { 350 return x.Recall 351 } 352 return 0 353} 354 355func (x *ClassificationEvaluationMetrics_ConfidenceMetricsEntry) GetPrecision() float32 { 356 if x != nil { 357 return x.Precision 358 } 359 return 0 360} 361 362func (x *ClassificationEvaluationMetrics_ConfidenceMetricsEntry) GetFalsePositiveRate() float32 { 363 if x != nil { 364 return x.FalsePositiveRate 365 } 366 return 0 367} 368 369func (x *ClassificationEvaluationMetrics_ConfidenceMetricsEntry) GetF1Score() float32 { 370 if x != nil { 371 return x.F1Score 372 } 373 return 0 374} 375 376func (x *ClassificationEvaluationMetrics_ConfidenceMetricsEntry) GetRecallAt1() float32 { 377 if x != nil { 378 return x.RecallAt1 379 } 380 return 0 381} 382 383func (x *ClassificationEvaluationMetrics_ConfidenceMetricsEntry) GetPrecisionAt1() float32 { 384 if x != nil { 385 return x.PrecisionAt1 386 } 387 return 0 388} 389 390func (x *ClassificationEvaluationMetrics_ConfidenceMetricsEntry) GetFalsePositiveRateAt1() float32 { 391 if x != nil { 392 return x.FalsePositiveRateAt1 393 } 394 return 0 395} 396 397func (x *ClassificationEvaluationMetrics_ConfidenceMetricsEntry) GetF1ScoreAt1() float32 { 398 if x != nil { 399 return x.F1ScoreAt1 400 } 401 return 0 402} 403 404func (x *ClassificationEvaluationMetrics_ConfidenceMetricsEntry) GetTruePositiveCount() int64 { 405 if x != nil { 406 return x.TruePositiveCount 407 } 408 return 0 409} 410 411func (x *ClassificationEvaluationMetrics_ConfidenceMetricsEntry) GetFalsePositiveCount() int64 { 412 if x != nil { 413 return x.FalsePositiveCount 414 } 415 return 0 416} 417 418func (x *ClassificationEvaluationMetrics_ConfidenceMetricsEntry) GetFalseNegativeCount() int64 { 419 if x != nil { 420 return x.FalseNegativeCount 421 } 422 return 0 423} 424 425func (x *ClassificationEvaluationMetrics_ConfidenceMetricsEntry) GetTrueNegativeCount() int64 { 426 if x != nil { 427 return x.TrueNegativeCount 428 } 429 return 0 430} 431 432// Confusion matrix of the model running the classification. 433type ClassificationEvaluationMetrics_ConfusionMatrix struct { 434 state protoimpl.MessageState 435 sizeCache protoimpl.SizeCache 436 unknownFields protoimpl.UnknownFields 437 438 // Output only. IDs of the annotation specs used in the confusion matrix. 439 // For Tables CLASSIFICATION 440 // 441 // [prediction_type][google.cloud.automl.v1p1beta.TablesModelMetadata.prediction_type] 442 // only list of [annotation_spec_display_name-s][] is populated. 443 AnnotationSpecId []string `protobuf:"bytes,1,rep,name=annotation_spec_id,json=annotationSpecId,proto3" json:"annotation_spec_id,omitempty"` 444 // Output only. Display name of the annotation specs used in the confusion 445 // matrix, as they were at the moment of the evaluation. For Tables 446 // CLASSIFICATION 447 // 448 // [prediction_type-s][google.cloud.automl.v1p1beta.TablesModelMetadata.prediction_type], 449 // distinct values of the target column at the moment of the model 450 // evaluation are populated here. 451 DisplayName []string `protobuf:"bytes,3,rep,name=display_name,json=displayName,proto3" json:"display_name,omitempty"` 452 // Output only. Rows in the confusion matrix. The number of rows is equal to 453 // the size of `annotation_spec_id`. 454 // `row[i].example_count[j]` is the number of examples that have ground 455 // truth of the `annotation_spec_id[i]` and are predicted as 456 // `annotation_spec_id[j]` by the model being evaluated. 457 Row []*ClassificationEvaluationMetrics_ConfusionMatrix_Row `protobuf:"bytes,2,rep,name=row,proto3" json:"row,omitempty"` 458} 459 460func (x *ClassificationEvaluationMetrics_ConfusionMatrix) Reset() { 461 *x = ClassificationEvaluationMetrics_ConfusionMatrix{} 462 if protoimpl.UnsafeEnabled { 463 mi := &file_google_cloud_automl_v1_classification_proto_msgTypes[3] 464 ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) 465 ms.StoreMessageInfo(mi) 466 } 467} 468 469func (x *ClassificationEvaluationMetrics_ConfusionMatrix) String() string { 470 return protoimpl.X.MessageStringOf(x) 471} 472 473func (*ClassificationEvaluationMetrics_ConfusionMatrix) ProtoMessage() {} 474 475func (x *ClassificationEvaluationMetrics_ConfusionMatrix) ProtoReflect() protoreflect.Message { 476 mi := &file_google_cloud_automl_v1_classification_proto_msgTypes[3] 477 if protoimpl.UnsafeEnabled && x != nil { 478 ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) 479 if ms.LoadMessageInfo() == nil { 480 ms.StoreMessageInfo(mi) 481 } 482 return ms 483 } 484 return mi.MessageOf(x) 485} 486 487// Deprecated: Use ClassificationEvaluationMetrics_ConfusionMatrix.ProtoReflect.Descriptor instead. 488func (*ClassificationEvaluationMetrics_ConfusionMatrix) Descriptor() ([]byte, []int) { 489 return file_google_cloud_automl_v1_classification_proto_rawDescGZIP(), []int{1, 1} 490} 491 492func (x *ClassificationEvaluationMetrics_ConfusionMatrix) GetAnnotationSpecId() []string { 493 if x != nil { 494 return x.AnnotationSpecId 495 } 496 return nil 497} 498 499func (x *ClassificationEvaluationMetrics_ConfusionMatrix) GetDisplayName() []string { 500 if x != nil { 501 return x.DisplayName 502 } 503 return nil 504} 505 506func (x *ClassificationEvaluationMetrics_ConfusionMatrix) GetRow() []*ClassificationEvaluationMetrics_ConfusionMatrix_Row { 507 if x != nil { 508 return x.Row 509 } 510 return nil 511} 512 513// Output only. A row in the confusion matrix. 514type ClassificationEvaluationMetrics_ConfusionMatrix_Row struct { 515 state protoimpl.MessageState 516 sizeCache protoimpl.SizeCache 517 unknownFields protoimpl.UnknownFields 518 519 // Output only. Value of the specific cell in the confusion matrix. 520 // The number of values each row has (i.e. the length of the row) is equal 521 // to the length of the `annotation_spec_id` field or, if that one is not 522 // populated, length of the [display_name][google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix.display_name] field. 523 ExampleCount []int32 `protobuf:"varint,1,rep,packed,name=example_count,json=exampleCount,proto3" json:"example_count,omitempty"` 524} 525 526func (x *ClassificationEvaluationMetrics_ConfusionMatrix_Row) Reset() { 527 *x = ClassificationEvaluationMetrics_ConfusionMatrix_Row{} 528 if protoimpl.UnsafeEnabled { 529 mi := &file_google_cloud_automl_v1_classification_proto_msgTypes[4] 530 ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) 531 ms.StoreMessageInfo(mi) 532 } 533} 534 535func (x *ClassificationEvaluationMetrics_ConfusionMatrix_Row) String() string { 536 return protoimpl.X.MessageStringOf(x) 537} 538 539func (*ClassificationEvaluationMetrics_ConfusionMatrix_Row) ProtoMessage() {} 540 541func (x *ClassificationEvaluationMetrics_ConfusionMatrix_Row) ProtoReflect() protoreflect.Message { 542 mi := &file_google_cloud_automl_v1_classification_proto_msgTypes[4] 543 if protoimpl.UnsafeEnabled && x != nil { 544 ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) 545 if ms.LoadMessageInfo() == nil { 546 ms.StoreMessageInfo(mi) 547 } 548 return ms 549 } 550 return mi.MessageOf(x) 551} 552 553// Deprecated: Use ClassificationEvaluationMetrics_ConfusionMatrix_Row.ProtoReflect.Descriptor instead. 554func (*ClassificationEvaluationMetrics_ConfusionMatrix_Row) Descriptor() ([]byte, []int) { 555 return file_google_cloud_automl_v1_classification_proto_rawDescGZIP(), []int{1, 1, 0} 556} 557 558func (x *ClassificationEvaluationMetrics_ConfusionMatrix_Row) GetExampleCount() []int32 { 559 if x != nil { 560 return x.ExampleCount 561 } 562 return nil 563} 564 565var File_google_cloud_automl_v1_classification_proto protoreflect.FileDescriptor 566 567var file_google_cloud_automl_v1_classification_proto_rawDesc = []byte{ 568 0x0a, 0x2b, 0x67, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x2f, 0x63, 0x6c, 0x6f, 0x75, 0x64, 0x2f, 0x61, 569 0x75, 0x74, 0x6f, 0x6d, 0x6c, 0x2f, 0x76, 0x31, 0x2f, 0x63, 0x6c, 0x61, 0x73, 0x73, 0x69, 0x66, 570 0x69, 0x63, 0x61, 0x74, 0x69, 0x6f, 0x6e, 0x2e, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x12, 0x16, 0x67, 571 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x2e, 0x63, 0x6c, 0x6f, 0x75, 0x64, 0x2e, 0x61, 0x75, 0x74, 0x6f, 572 0x6d, 0x6c, 0x2e, 0x76, 0x31, 0x1a, 0x1c, 0x67, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x2f, 0x61, 0x70, 573 0x69, 0x2f, 0x61, 0x6e, 0x6e, 0x6f, 0x74, 0x61, 0x74, 0x69, 0x6f, 0x6e, 0x73, 0x2e, 0x70, 0x72, 574 0x6f, 0x74, 0x6f, 0x22, 0x30, 0x0a, 0x18, 0x43, 0x6c, 0x61, 0x73, 0x73, 0x69, 0x66, 0x69, 0x63, 575 0x61, 0x74, 0x69, 0x6f, 0x6e, 0x41, 0x6e, 0x6e, 0x6f, 0x74, 0x61, 0x74, 0x69, 0x6f, 0x6e, 0x12, 576 0x14, 0x0a, 0x05, 0x73, 0x63, 0x6f, 0x72, 0x65, 0x18, 0x01, 0x20, 0x01, 0x28, 0x02, 0x52, 0x05, 577 0x73, 0x63, 0x6f, 0x72, 0x65, 0x22, 0xe6, 0x09, 0x0a, 0x1f, 0x43, 0x6c, 0x61, 0x73, 0x73, 0x69, 578 0x66, 0x69, 0x63, 0x61, 0x74, 0x69, 0x6f, 0x6e, 0x45, 0x76, 0x61, 0x6c, 0x75, 0x61, 0x74, 0x69, 579 0x6f, 0x6e, 0x4d, 0x65, 0x74, 0x72, 0x69, 0x63, 0x73, 0x12, 0x15, 0x0a, 0x06, 0x61, 0x75, 0x5f, 580 0x70, 0x72, 0x63, 0x18, 0x01, 0x20, 0x01, 0x28, 0x02, 0x52, 0x05, 0x61, 0x75, 0x50, 0x72, 0x63, 581 0x12, 0x15, 0x0a, 0x06, 0x61, 0x75, 0x5f, 0x72, 0x6f, 0x63, 0x18, 0x06, 0x20, 0x01, 0x28, 0x02, 582 0x52, 0x05, 0x61, 0x75, 0x52, 0x6f, 0x63, 0x12, 0x19, 0x0a, 0x08, 0x6c, 0x6f, 0x67, 0x5f, 0x6c, 583 0x6f, 0x73, 0x73, 0x18, 0x07, 0x20, 0x01, 0x28, 0x02, 0x52, 0x07, 0x6c, 0x6f, 0x67, 0x4c, 0x6f, 584 0x73, 0x73, 0x12, 0x88, 0x01, 0x0a, 0x18, 0x63, 0x6f, 0x6e, 0x66, 0x69, 0x64, 0x65, 0x6e, 0x63, 585 0x65, 0x5f, 0x6d, 0x65, 0x74, 0x72, 0x69, 0x63, 0x73, 0x5f, 0x65, 0x6e, 0x74, 0x72, 0x79, 0x18, 586 0x03, 0x20, 0x03, 0x28, 0x0b, 0x32, 0x4e, 0x2e, 0x67, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x2e, 0x63, 587 0x6c, 0x6f, 0x75, 0x64, 0x2e, 0x61, 0x75, 0x74, 0x6f, 0x6d, 0x6c, 0x2e, 0x76, 0x31, 0x2e, 0x43, 588 0x6c, 0x61, 0x73, 0x73, 0x69, 0x66, 0x69, 0x63, 0x61, 0x74, 0x69, 0x6f, 0x6e, 0x45, 0x76, 0x61, 589 0x6c, 0x75, 0x61, 0x74, 0x69, 0x6f, 0x6e, 0x4d, 0x65, 0x74, 0x72, 0x69, 0x63, 0x73, 0x2e, 0x43, 590 0x6f, 0x6e, 0x66, 0x69, 0x64, 0x65, 0x6e, 0x63, 0x65, 0x4d, 0x65, 0x74, 0x72, 0x69, 0x63, 0x73, 591 0x45, 0x6e, 0x74, 0x72, 0x79, 0x52, 0x16, 0x63, 0x6f, 0x6e, 0x66, 0x69, 0x64, 0x65, 0x6e, 0x63, 592 0x65, 0x4d, 0x65, 0x74, 0x72, 0x69, 0x63, 0x73, 0x45, 0x6e, 0x74, 0x72, 0x79, 0x12, 0x72, 0x0a, 593 0x10, 0x63, 0x6f, 0x6e, 0x66, 0x75, 0x73, 0x69, 0x6f, 0x6e, 0x5f, 0x6d, 0x61, 0x74, 0x72, 0x69, 594 0x78, 0x18, 0x04, 0x20, 0x01, 0x28, 0x0b, 0x32, 0x47, 0x2e, 0x67, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 595 0x2e, 0x63, 0x6c, 0x6f, 0x75, 0x64, 0x2e, 0x61, 0x75, 0x74, 0x6f, 0x6d, 0x6c, 0x2e, 0x76, 0x31, 596 0x2e, 0x43, 0x6c, 0x61, 0x73, 0x73, 0x69, 0x66, 0x69, 0x63, 0x61, 0x74, 0x69, 0x6f, 0x6e, 0x45, 597 0x76, 0x61, 0x6c, 0x75, 0x61, 0x74, 0x69, 0x6f, 0x6e, 0x4d, 0x65, 0x74, 0x72, 0x69, 0x63, 0x73, 598 0x2e, 0x43, 0x6f, 0x6e, 0x66, 0x75, 0x73, 0x69, 0x6f, 0x6e, 0x4d, 0x61, 0x74, 0x72, 0x69, 0x78, 599 0x52, 0x0f, 0x63, 0x6f, 0x6e, 0x66, 0x75, 0x73, 0x69, 0x6f, 0x6e, 0x4d, 0x61, 0x74, 0x72, 0x69, 600 0x78, 0x12, 0x2c, 0x0a, 0x12, 0x61, 0x6e, 0x6e, 0x6f, 0x74, 0x61, 0x74, 0x69, 0x6f, 0x6e, 0x5f, 601 0x73, 0x70, 0x65, 0x63, 0x5f, 0x69, 0x64, 0x18, 0x05, 0x20, 0x03, 0x28, 0x09, 0x52, 0x10, 0x61, 602 0x6e, 0x6e, 0x6f, 0x74, 0x61, 0x74, 0x69, 0x6f, 0x6e, 0x53, 0x70, 0x65, 0x63, 0x49, 0x64, 0x1a, 603 0xdc, 0x04, 0x0a, 0x16, 0x43, 0x6f, 0x6e, 0x66, 0x69, 0x64, 0x65, 0x6e, 0x63, 0x65, 0x4d, 0x65, 604 0x74, 0x72, 0x69, 0x63, 0x73, 0x45, 0x6e, 0x74, 0x72, 0x79, 0x12, 0x31, 0x0a, 0x14, 0x63, 0x6f, 605 0x6e, 0x66, 0x69, 0x64, 0x65, 0x6e, 0x63, 0x65, 0x5f, 0x74, 0x68, 0x72, 0x65, 0x73, 0x68, 0x6f, 606 0x6c, 0x64, 0x18, 0x01, 0x20, 0x01, 0x28, 0x02, 0x52, 0x13, 0x63, 0x6f, 0x6e, 0x66, 0x69, 0x64, 607 0x65, 0x6e, 0x63, 0x65, 0x54, 0x68, 0x72, 0x65, 0x73, 0x68, 0x6f, 0x6c, 0x64, 0x12, 0x2d, 0x0a, 608 0x12, 0x70, 0x6f, 0x73, 0x69, 0x74, 0x69, 0x6f, 0x6e, 0x5f, 0x74, 0x68, 0x72, 0x65, 0x73, 0x68, 609 0x6f, 0x6c, 0x64, 0x18, 0x0e, 0x20, 0x01, 0x28, 0x05, 0x52, 0x11, 0x70, 0x6f, 0x73, 0x69, 0x74, 610 0x69, 0x6f, 0x6e, 0x54, 0x68, 0x72, 0x65, 0x73, 0x68, 0x6f, 0x6c, 0x64, 0x12, 0x16, 0x0a, 0x06, 611 0x72, 0x65, 0x63, 0x61, 0x6c, 0x6c, 0x18, 0x02, 0x20, 0x01, 0x28, 0x02, 0x52, 0x06, 0x72, 0x65, 612 0x63, 0x61, 0x6c, 0x6c, 0x12, 0x1c, 0x0a, 0x09, 0x70, 0x72, 0x65, 0x63, 0x69, 0x73, 0x69, 0x6f, 613 0x6e, 0x18, 0x03, 0x20, 0x01, 0x28, 0x02, 0x52, 0x09, 0x70, 0x72, 0x65, 0x63, 0x69, 0x73, 0x69, 614 0x6f, 0x6e, 0x12, 0x2e, 0x0a, 0x13, 0x66, 0x61, 0x6c, 0x73, 0x65, 0x5f, 0x70, 0x6f, 0x73, 0x69, 615 0x74, 0x69, 0x76, 0x65, 0x5f, 0x72, 0x61, 0x74, 0x65, 0x18, 0x08, 0x20, 0x01, 0x28, 0x02, 0x52, 616 0x11, 0x66, 0x61, 0x6c, 0x73, 0x65, 0x50, 0x6f, 0x73, 0x69, 0x74, 0x69, 0x76, 0x65, 0x52, 0x61, 617 0x74, 0x65, 0x12, 0x19, 0x0a, 0x08, 0x66, 0x31, 0x5f, 0x73, 0x63, 0x6f, 0x72, 0x65, 0x18, 0x04, 618 0x20, 0x01, 0x28, 0x02, 0x52, 0x07, 0x66, 0x31, 0x53, 0x63, 0x6f, 0x72, 0x65, 0x12, 0x1d, 0x0a, 619 0x0a, 0x72, 0x65, 0x63, 0x61, 0x6c, 0x6c, 0x5f, 0x61, 0x74, 0x31, 0x18, 0x05, 0x20, 0x01, 0x28, 620 0x02, 0x52, 0x09, 0x72, 0x65, 0x63, 0x61, 0x6c, 0x6c, 0x41, 0x74, 0x31, 0x12, 0x23, 0x0a, 0x0d, 621 0x70, 0x72, 0x65, 0x63, 0x69, 0x73, 0x69, 0x6f, 0x6e, 0x5f, 0x61, 0x74, 0x31, 0x18, 0x06, 0x20, 622 0x01, 0x28, 0x02, 0x52, 0x0c, 0x70, 0x72, 0x65, 0x63, 0x69, 0x73, 0x69, 0x6f, 0x6e, 0x41, 0x74, 623 0x31, 0x12, 0x35, 0x0a, 0x17, 0x66, 0x61, 0x6c, 0x73, 0x65, 0x5f, 0x70, 0x6f, 0x73, 0x69, 0x74, 624 0x69, 0x76, 0x65, 0x5f, 0x72, 0x61, 0x74, 0x65, 0x5f, 0x61, 0x74, 0x31, 0x18, 0x09, 0x20, 0x01, 625 0x28, 0x02, 0x52, 0x14, 0x66, 0x61, 0x6c, 0x73, 0x65, 0x50, 0x6f, 0x73, 0x69, 0x74, 0x69, 0x76, 626 0x65, 0x52, 0x61, 0x74, 0x65, 0x41, 0x74, 0x31, 0x12, 0x20, 0x0a, 0x0c, 0x66, 0x31, 0x5f, 0x73, 627 0x63, 0x6f, 0x72, 0x65, 0x5f, 0x61, 0x74, 0x31, 0x18, 0x07, 0x20, 0x01, 0x28, 0x02, 0x52, 0x0a, 628 0x66, 0x31, 0x53, 0x63, 0x6f, 0x72, 0x65, 0x41, 0x74, 0x31, 0x12, 0x2e, 0x0a, 0x13, 0x74, 0x72, 629 0x75, 0x65, 0x5f, 0x70, 0x6f, 0x73, 0x69, 0x74, 0x69, 0x76, 0x65, 0x5f, 0x63, 0x6f, 0x75, 0x6e, 630 0x74, 0x18, 0x0a, 0x20, 0x01, 0x28, 0x03, 0x52, 0x11, 0x74, 0x72, 0x75, 0x65, 0x50, 0x6f, 0x73, 631 0x69, 0x74, 0x69, 0x76, 0x65, 0x43, 0x6f, 0x75, 0x6e, 0x74, 0x12, 0x30, 0x0a, 0x14, 0x66, 0x61, 632 0x6c, 0x73, 0x65, 0x5f, 0x70, 0x6f, 0x73, 0x69, 0x74, 0x69, 0x76, 0x65, 0x5f, 0x63, 0x6f, 0x75, 633 0x6e, 0x74, 0x18, 0x0b, 0x20, 0x01, 0x28, 0x03, 0x52, 0x12, 0x66, 0x61, 0x6c, 0x73, 0x65, 0x50, 634 0x6f, 0x73, 0x69, 0x74, 0x69, 0x76, 0x65, 0x43, 0x6f, 0x75, 0x6e, 0x74, 0x12, 0x30, 0x0a, 0x14, 635 0x66, 0x61, 0x6c, 0x73, 0x65, 0x5f, 0x6e, 0x65, 0x67, 0x61, 0x74, 0x69, 0x76, 0x65, 0x5f, 0x63, 636 0x6f, 0x75, 0x6e, 0x74, 0x18, 0x0c, 0x20, 0x01, 0x28, 0x03, 0x52, 0x12, 0x66, 0x61, 0x6c, 0x73, 637 0x65, 0x4e, 0x65, 0x67, 0x61, 0x74, 0x69, 0x76, 0x65, 0x43, 0x6f, 0x75, 0x6e, 0x74, 0x12, 0x2e, 638 0x0a, 0x13, 0x74, 0x72, 0x75, 0x65, 0x5f, 0x6e, 0x65, 0x67, 0x61, 0x74, 0x69, 0x76, 0x65, 0x5f, 639 0x63, 0x6f, 0x75, 0x6e, 0x74, 0x18, 0x0d, 0x20, 0x01, 0x28, 0x03, 0x52, 0x11, 0x74, 0x72, 0x75, 640 0x65, 0x4e, 0x65, 0x67, 0x61, 0x74, 0x69, 0x76, 0x65, 0x43, 0x6f, 0x75, 0x6e, 0x74, 0x1a, 0xed, 641 0x01, 0x0a, 0x0f, 0x43, 0x6f, 0x6e, 0x66, 0x75, 0x73, 0x69, 0x6f, 0x6e, 0x4d, 0x61, 0x74, 0x72, 642 0x69, 0x78, 0x12, 0x2c, 0x0a, 0x12, 0x61, 0x6e, 0x6e, 0x6f, 0x74, 0x61, 0x74, 0x69, 0x6f, 0x6e, 643 0x5f, 0x73, 0x70, 0x65, 0x63, 0x5f, 0x69, 0x64, 0x18, 0x01, 0x20, 0x03, 0x28, 0x09, 0x52, 0x10, 644 0x61, 0x6e, 0x6e, 0x6f, 0x74, 0x61, 0x74, 0x69, 0x6f, 0x6e, 0x53, 0x70, 0x65, 0x63, 0x49, 0x64, 645 0x12, 0x21, 0x0a, 0x0c, 0x64, 0x69, 0x73, 0x70, 0x6c, 0x61, 0x79, 0x5f, 0x6e, 0x61, 0x6d, 0x65, 646 0x18, 0x03, 0x20, 0x03, 0x28, 0x09, 0x52, 0x0b, 0x64, 0x69, 0x73, 0x70, 0x6c, 0x61, 0x79, 0x4e, 647 0x61, 0x6d, 0x65, 0x12, 0x5d, 0x0a, 0x03, 0x72, 0x6f, 0x77, 0x18, 0x02, 0x20, 0x03, 0x28, 0x0b, 648 0x32, 0x4b, 0x2e, 0x67, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x2e, 0x63, 0x6c, 0x6f, 0x75, 0x64, 0x2e, 649 0x61, 0x75, 0x74, 0x6f, 0x6d, 0x6c, 0x2e, 0x76, 0x31, 0x2e, 0x43, 0x6c, 0x61, 0x73, 0x73, 0x69, 650 0x66, 0x69, 0x63, 0x61, 0x74, 0x69, 0x6f, 0x6e, 0x45, 0x76, 0x61, 0x6c, 0x75, 0x61, 0x74, 0x69, 651 0x6f, 0x6e, 0x4d, 0x65, 0x74, 0x72, 0x69, 0x63, 0x73, 0x2e, 0x43, 0x6f, 0x6e, 0x66, 0x75, 0x73, 652 0x69, 0x6f, 0x6e, 0x4d, 0x61, 0x74, 0x72, 0x69, 0x78, 0x2e, 0x52, 0x6f, 0x77, 0x52, 0x03, 0x72, 653 0x6f, 0x77, 0x1a, 0x2a, 0x0a, 0x03, 0x52, 0x6f, 0x77, 0x12, 0x23, 0x0a, 0x0d, 0x65, 0x78, 0x61, 654 0x6d, 0x70, 0x6c, 0x65, 0x5f, 0x63, 0x6f, 0x75, 0x6e, 0x74, 0x18, 0x01, 0x20, 0x03, 0x28, 0x05, 655 0x52, 0x0c, 0x65, 0x78, 0x61, 0x6d, 0x70, 0x6c, 0x65, 0x43, 0x6f, 0x75, 0x6e, 0x74, 0x2a, 0x59, 656 0x0a, 0x12, 0x43, 0x6c, 0x61, 0x73, 0x73, 0x69, 0x66, 0x69, 0x63, 0x61, 0x74, 0x69, 0x6f, 0x6e, 657 0x54, 0x79, 0x70, 0x65, 0x12, 0x23, 0x0a, 0x1f, 0x43, 0x4c, 0x41, 0x53, 0x53, 0x49, 0x46, 0x49, 658 0x43, 0x41, 0x54, 0x49, 0x4f, 0x4e, 0x5f, 0x54, 0x59, 0x50, 0x45, 0x5f, 0x55, 0x4e, 0x53, 0x50, 659 0x45, 0x43, 0x49, 0x46, 0x49, 0x45, 0x44, 0x10, 0x00, 0x12, 0x0e, 0x0a, 0x0a, 0x4d, 0x55, 0x4c, 660 0x54, 0x49, 0x43, 0x4c, 0x41, 0x53, 0x53, 0x10, 0x01, 0x12, 0x0e, 0x0a, 0x0a, 0x4d, 0x55, 0x4c, 661 0x54, 0x49, 0x4c, 0x41, 0x42, 0x45, 0x4c, 0x10, 0x02, 0x42, 0xbf, 0x01, 0x0a, 0x1a, 0x63, 0x6f, 662 0x6d, 0x2e, 0x67, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x2e, 0x63, 0x6c, 0x6f, 0x75, 0x64, 0x2e, 0x61, 663 0x75, 0x74, 0x6f, 0x6d, 0x6c, 0x2e, 0x76, 0x31, 0x42, 0x13, 0x43, 0x6c, 0x61, 0x73, 0x73, 0x69, 664 0x66, 0x69, 0x63, 0x61, 0x74, 0x69, 0x6f, 0x6e, 0x50, 0x72, 0x6f, 0x74, 0x6f, 0x50, 0x01, 0x5a, 665 0x3c, 0x67, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x2e, 0x67, 0x6f, 0x6c, 0x61, 0x6e, 0x67, 0x2e, 0x6f, 666 0x72, 0x67, 0x2f, 0x67, 0x65, 0x6e, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x2f, 0x67, 0x6f, 0x6f, 0x67, 667 0x6c, 0x65, 0x61, 0x70, 0x69, 0x73, 0x2f, 0x63, 0x6c, 0x6f, 0x75, 0x64, 0x2f, 0x61, 0x75, 0x74, 668 0x6f, 0x6d, 0x6c, 0x2f, 0x76, 0x31, 0x3b, 0x61, 0x75, 0x74, 0x6f, 0x6d, 0x6c, 0xaa, 0x02, 0x16, 669 0x47, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x2e, 0x43, 0x6c, 0x6f, 0x75, 0x64, 0x2e, 0x41, 0x75, 0x74, 670 0x6f, 0x4d, 0x4c, 0x2e, 0x56, 0x31, 0xca, 0x02, 0x16, 0x47, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x5c, 671 0x43, 0x6c, 0x6f, 0x75, 0x64, 0x5c, 0x41, 0x75, 0x74, 0x6f, 0x4d, 0x6c, 0x5c, 0x56, 0x31, 0xea, 672 0x02, 0x19, 0x47, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x3a, 0x3a, 0x43, 0x6c, 0x6f, 0x75, 0x64, 0x3a, 673 0x3a, 0x41, 0x75, 0x74, 0x6f, 0x4d, 0x4c, 0x3a, 0x3a, 0x56, 0x31, 0x62, 0x06, 0x70, 0x72, 0x6f, 674 0x74, 0x6f, 0x33, 675} 676 677var ( 678 file_google_cloud_automl_v1_classification_proto_rawDescOnce sync.Once 679 file_google_cloud_automl_v1_classification_proto_rawDescData = file_google_cloud_automl_v1_classification_proto_rawDesc 680) 681 682func file_google_cloud_automl_v1_classification_proto_rawDescGZIP() []byte { 683 file_google_cloud_automl_v1_classification_proto_rawDescOnce.Do(func() { 684 file_google_cloud_automl_v1_classification_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_automl_v1_classification_proto_rawDescData) 685 }) 686 return file_google_cloud_automl_v1_classification_proto_rawDescData 687} 688 689var file_google_cloud_automl_v1_classification_proto_enumTypes = make([]protoimpl.EnumInfo, 1) 690var file_google_cloud_automl_v1_classification_proto_msgTypes = make([]protoimpl.MessageInfo, 5) 691var file_google_cloud_automl_v1_classification_proto_goTypes = []interface{}{ 692 (ClassificationType)(0), // 0: google.cloud.automl.v1.ClassificationType 693 (*ClassificationAnnotation)(nil), // 1: google.cloud.automl.v1.ClassificationAnnotation 694 (*ClassificationEvaluationMetrics)(nil), // 2: google.cloud.automl.v1.ClassificationEvaluationMetrics 695 (*ClassificationEvaluationMetrics_ConfidenceMetricsEntry)(nil), // 3: google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry 696 (*ClassificationEvaluationMetrics_ConfusionMatrix)(nil), // 4: google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix 697 (*ClassificationEvaluationMetrics_ConfusionMatrix_Row)(nil), // 5: google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix.Row 698} 699var file_google_cloud_automl_v1_classification_proto_depIdxs = []int32{ 700 3, // 0: google.cloud.automl.v1.ClassificationEvaluationMetrics.confidence_metrics_entry:type_name -> google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry 701 4, // 1: google.cloud.automl.v1.ClassificationEvaluationMetrics.confusion_matrix:type_name -> google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix 702 5, // 2: google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix.row:type_name -> google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix.Row 703 3, // [3:3] is the sub-list for method output_type 704 3, // [3:3] is the sub-list for method input_type 705 3, // [3:3] is the sub-list for extension type_name 706 3, // [3:3] is the sub-list for extension extendee 707 0, // [0:3] is the sub-list for field type_name 708} 709 710func init() { file_google_cloud_automl_v1_classification_proto_init() } 711func file_google_cloud_automl_v1_classification_proto_init() { 712 if File_google_cloud_automl_v1_classification_proto != nil { 713 return 714 } 715 if !protoimpl.UnsafeEnabled { 716 file_google_cloud_automl_v1_classification_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} { 717 switch v := v.(*ClassificationAnnotation); i { 718 case 0: 719 return &v.state 720 case 1: 721 return &v.sizeCache 722 case 2: 723 return &v.unknownFields 724 default: 725 return nil 726 } 727 } 728 file_google_cloud_automl_v1_classification_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} { 729 switch v := v.(*ClassificationEvaluationMetrics); i { 730 case 0: 731 return &v.state 732 case 1: 733 return &v.sizeCache 734 case 2: 735 return &v.unknownFields 736 default: 737 return nil 738 } 739 } 740 file_google_cloud_automl_v1_classification_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} { 741 switch v := v.(*ClassificationEvaluationMetrics_ConfidenceMetricsEntry); i { 742 case 0: 743 return &v.state 744 case 1: 745 return &v.sizeCache 746 case 2: 747 return &v.unknownFields 748 default: 749 return nil 750 } 751 } 752 file_google_cloud_automl_v1_classification_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} { 753 switch v := v.(*ClassificationEvaluationMetrics_ConfusionMatrix); i { 754 case 0: 755 return &v.state 756 case 1: 757 return &v.sizeCache 758 case 2: 759 return &v.unknownFields 760 default: 761 return nil 762 } 763 } 764 file_google_cloud_automl_v1_classification_proto_msgTypes[4].Exporter = func(v interface{}, i int) interface{} { 765 switch v := v.(*ClassificationEvaluationMetrics_ConfusionMatrix_Row); i { 766 case 0: 767 return &v.state 768 case 1: 769 return &v.sizeCache 770 case 2: 771 return &v.unknownFields 772 default: 773 return nil 774 } 775 } 776 } 777 type x struct{} 778 out := protoimpl.TypeBuilder{ 779 File: protoimpl.DescBuilder{ 780 GoPackagePath: reflect.TypeOf(x{}).PkgPath(), 781 RawDescriptor: file_google_cloud_automl_v1_classification_proto_rawDesc, 782 NumEnums: 1, 783 NumMessages: 5, 784 NumExtensions: 0, 785 NumServices: 0, 786 }, 787 GoTypes: file_google_cloud_automl_v1_classification_proto_goTypes, 788 DependencyIndexes: file_google_cloud_automl_v1_classification_proto_depIdxs, 789 EnumInfos: file_google_cloud_automl_v1_classification_proto_enumTypes, 790 MessageInfos: file_google_cloud_automl_v1_classification_proto_msgTypes, 791 }.Build() 792 File_google_cloud_automl_v1_classification_proto = out.File 793 file_google_cloud_automl_v1_classification_proto_rawDesc = nil 794 file_google_cloud_automl_v1_classification_proto_goTypes = nil 795 file_google_cloud_automl_v1_classification_proto_depIdxs = nil 796} 797