Source file src/google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/trainingjob/definition/automl_tables.pb.go

Documentation: google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/trainingjob/definition

     1  // Copyright 2021 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/aiplatform/v1/schema/trainingjob/definition/automl_tables.proto
    20  
    21  package definition
    22  
    23  import (
    24  	reflect "reflect"
    25  	sync "sync"
    26  
    27  	protoreflect "google.golang.org/protobuf/reflect/protoreflect"
    28  	protoimpl "google.golang.org/protobuf/runtime/protoimpl"
    29  )
    30  
    31  const (
    32  	// Verify that this generated code is sufficiently up-to-date.
    33  	_ = protoimpl.EnforceVersion(20 - protoimpl.MinVersion)
    34  	// Verify that runtime/protoimpl is sufficiently up-to-date.
    35  	_ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20)
    36  )
    37  
    38  // A TrainingJob that trains and uploads an AutoML Tables Model.
    39  type AutoMlTables struct {
    40  	state         protoimpl.MessageState
    41  	sizeCache     protoimpl.SizeCache
    42  	unknownFields protoimpl.UnknownFields
    43  
    44  	// The input parameters of this TrainingJob.
    45  	Inputs *AutoMlTablesInputs `protobuf:"bytes,1,opt,name=inputs,proto3" json:"inputs,omitempty"`
    46  	// The metadata information.
    47  	Metadata *AutoMlTablesMetadata `protobuf:"bytes,2,opt,name=metadata,proto3" json:"metadata,omitempty"`
    48  }
    49  
    50  func (x *AutoMlTables) Reset() {
    51  	*x = AutoMlTables{}
    52  	if protoimpl.UnsafeEnabled {
    53  		mi := &file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[0]
    54  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
    55  		ms.StoreMessageInfo(mi)
    56  	}
    57  }
    58  
    59  func (x *AutoMlTables) String() string {
    60  	return protoimpl.X.MessageStringOf(x)
    61  }
    62  
    63  func (*AutoMlTables) ProtoMessage() {}
    64  
    65  func (x *AutoMlTables) ProtoReflect() protoreflect.Message {
    66  	mi := &file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[0]
    67  	if protoimpl.UnsafeEnabled && x != nil {
    68  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
    69  		if ms.LoadMessageInfo() == nil {
    70  			ms.StoreMessageInfo(mi)
    71  		}
    72  		return ms
    73  	}
    74  	return mi.MessageOf(x)
    75  }
    76  
    77  // Deprecated: Use AutoMlTables.ProtoReflect.Descriptor instead.
    78  func (*AutoMlTables) Descriptor() ([]byte, []int) {
    79  	return file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_rawDescGZIP(), []int{0}
    80  }
    81  
    82  func (x *AutoMlTables) GetInputs() *AutoMlTablesInputs {
    83  	if x != nil {
    84  		return x.Inputs
    85  	}
    86  	return nil
    87  }
    88  
    89  func (x *AutoMlTables) GetMetadata() *AutoMlTablesMetadata {
    90  	if x != nil {
    91  		return x.Metadata
    92  	}
    93  	return nil
    94  }
    95  
    96  type AutoMlTablesInputs struct {
    97  	state         protoimpl.MessageState
    98  	sizeCache     protoimpl.SizeCache
    99  	unknownFields protoimpl.UnknownFields
   100  
   101  	// Additional optimization objective configuration. Required for
   102  	// `maximize-precision-at-recall` and `maximize-recall-at-precision`,
   103  	// otherwise unused.
   104  	//
   105  	// Types that are assignable to AdditionalOptimizationObjectiveConfig:
   106  	//
   107  	//	*AutoMlTablesInputs_OptimizationObjectiveRecallValue
   108  	//	*AutoMlTablesInputs_OptimizationObjectivePrecisionValue
   109  	AdditionalOptimizationObjectiveConfig isAutoMlTablesInputs_AdditionalOptimizationObjectiveConfig `protobuf_oneof:"additional_optimization_objective_config"`
   110  	// The type of prediction the Model is to produce.
   111  	//
   112  	//	"classification" - Predict one out of multiple target values is
   113  	//	                   picked for each row.
   114  	//	"regression" - Predict a value based on its relation to other values.
   115  	//	               This type is available only to columns that contain
   116  	//	               semantically numeric values, i.e. integers or floating
   117  	//	               point number, even if stored as e.g. strings.
   118  	PredictionType string `protobuf:"bytes,1,opt,name=prediction_type,json=predictionType,proto3" json:"prediction_type,omitempty"`
   119  	// The column name of the target column that the model is to predict.
   120  	TargetColumn string `protobuf:"bytes,2,opt,name=target_column,json=targetColumn,proto3" json:"target_column,omitempty"`
   121  	// Each transformation will apply transform function to given input column.
   122  	// And the result will be used for training.
   123  	// When creating transformation for BigQuery Struct column, the column should
   124  	// be flattened using "." as the delimiter.
   125  	Transformations []*AutoMlTablesInputs_Transformation `protobuf:"bytes,3,rep,name=transformations,proto3" json:"transformations,omitempty"`
   126  	// Objective function the model is optimizing towards. The training process
   127  	// creates a model that maximizes/minimizes the value of the objective
   128  	// function over the validation set.
   129  	//
   130  	// The supported optimization objectives depend on the prediction type.
   131  	// If the field is not set, a default objective function is used.
   132  	//
   133  	// classification (binary):
   134  	//
   135  	//	"maximize-au-roc" (default) - Maximize the area under the receiver
   136  	//	                              operating characteristic (ROC) curve.
   137  	//	"minimize-log-loss" - Minimize log loss.
   138  	//	"maximize-au-prc" - Maximize the area under the precision-recall curve.
   139  	//	"maximize-precision-at-recall" - Maximize precision for a specified
   140  	//	                                recall value.
   141  	//	"maximize-recall-at-precision" - Maximize recall for a specified
   142  	//	                                 precision value.
   143  	//
   144  	// classification (multi-class):
   145  	//
   146  	//	"minimize-log-loss" (default) - Minimize log loss.
   147  	//
   148  	// regression:
   149  	//
   150  	//	"minimize-rmse" (default) - Minimize root-mean-squared error (RMSE).
   151  	//	"minimize-mae" - Minimize mean-absolute error (MAE).
   152  	//	"minimize-rmsle" - Minimize root-mean-squared log error (RMSLE).
   153  	OptimizationObjective string `protobuf:"bytes,4,opt,name=optimization_objective,json=optimizationObjective,proto3" json:"optimization_objective,omitempty"`
   154  	// Required. The train budget of creating this model, expressed in milli node
   155  	// hours i.e. 1,000 value in this field means 1 node hour.
   156  	//
   157  	// The training cost of the model will not exceed this budget. The final cost
   158  	// will be attempted to be close to the budget, though may end up being (even)
   159  	// noticeably smaller - at the backend's discretion. This especially may
   160  	// happen when further model training ceases to provide any improvements.
   161  	//
   162  	// If the budget is set to a value known to be insufficient to train a
   163  	// model for the given dataset, the training won't be attempted and
   164  	// will error.
   165  	//
   166  	// The train budget must be between 1,000 and 72,000 milli node hours,
   167  	// inclusive.
   168  	TrainBudgetMilliNodeHours int64 `protobuf:"varint,7,opt,name=train_budget_milli_node_hours,json=trainBudgetMilliNodeHours,proto3" json:"train_budget_milli_node_hours,omitempty"`
   169  	// Use the entire training budget. This disables the early stopping feature.
   170  	// By default, the early stopping feature is enabled, which means that AutoML
   171  	// Tables might stop training before the entire training budget has been used.
   172  	DisableEarlyStopping bool `protobuf:"varint,8,opt,name=disable_early_stopping,json=disableEarlyStopping,proto3" json:"disable_early_stopping,omitempty"`
   173  	// Column name that should be used as the weight column.
   174  	// Higher values in this column give more importance to the row
   175  	// during model training. The column must have numeric values between 0 and
   176  	// 10000 inclusively; 0 means the row is ignored for training. If weight
   177  	// column field is not set, then all rows are assumed to have equal weight
   178  	// of 1.
   179  	WeightColumnName string `protobuf:"bytes,9,opt,name=weight_column_name,json=weightColumnName,proto3" json:"weight_column_name,omitempty"`
   180  	// Configuration for exporting test set predictions to a BigQuery table. If
   181  	// this configuration is absent, then the export is not performed.
   182  	ExportEvaluatedDataItemsConfig *ExportEvaluatedDataItemsConfig `protobuf:"bytes,10,opt,name=export_evaluated_data_items_config,json=exportEvaluatedDataItemsConfig,proto3" json:"export_evaluated_data_items_config,omitempty"`
   183  	// Additional experiment flags for the Tables training pipeline.
   184  	AdditionalExperiments []string `protobuf:"bytes,11,rep,name=additional_experiments,json=additionalExperiments,proto3" json:"additional_experiments,omitempty"`
   185  }
   186  
   187  func (x *AutoMlTablesInputs) Reset() {
   188  	*x = AutoMlTablesInputs{}
   189  	if protoimpl.UnsafeEnabled {
   190  		mi := &file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[1]
   191  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
   192  		ms.StoreMessageInfo(mi)
   193  	}
   194  }
   195  
   196  func (x *AutoMlTablesInputs) String() string {
   197  	return protoimpl.X.MessageStringOf(x)
   198  }
   199  
   200  func (*AutoMlTablesInputs) ProtoMessage() {}
   201  
   202  func (x *AutoMlTablesInputs) ProtoReflect() protoreflect.Message {
   203  	mi := &file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[1]
   204  	if protoimpl.UnsafeEnabled && x != nil {
   205  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
   206  		if ms.LoadMessageInfo() == nil {
   207  			ms.StoreMessageInfo(mi)
   208  		}
   209  		return ms
   210  	}
   211  	return mi.MessageOf(x)
   212  }
   213  
   214  // Deprecated: Use AutoMlTablesInputs.ProtoReflect.Descriptor instead.
   215  func (*AutoMlTablesInputs) Descriptor() ([]byte, []int) {
   216  	return file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_rawDescGZIP(), []int{1}
   217  }
   218  
   219  func (m *AutoMlTablesInputs) GetAdditionalOptimizationObjectiveConfig() isAutoMlTablesInputs_AdditionalOptimizationObjectiveConfig {
   220  	if m != nil {
   221  		return m.AdditionalOptimizationObjectiveConfig
   222  	}
   223  	return nil
   224  }
   225  
   226  func (x *AutoMlTablesInputs) GetOptimizationObjectiveRecallValue() float32 {
   227  	if x, ok := x.GetAdditionalOptimizationObjectiveConfig().(*AutoMlTablesInputs_OptimizationObjectiveRecallValue); ok {
   228  		return x.OptimizationObjectiveRecallValue
   229  	}
   230  	return 0
   231  }
   232  
   233  func (x *AutoMlTablesInputs) GetOptimizationObjectivePrecisionValue() float32 {
   234  	if x, ok := x.GetAdditionalOptimizationObjectiveConfig().(*AutoMlTablesInputs_OptimizationObjectivePrecisionValue); ok {
   235  		return x.OptimizationObjectivePrecisionValue
   236  	}
   237  	return 0
   238  }
   239  
   240  func (x *AutoMlTablesInputs) GetPredictionType() string {
   241  	if x != nil {
   242  		return x.PredictionType
   243  	}
   244  	return ""
   245  }
   246  
   247  func (x *AutoMlTablesInputs) GetTargetColumn() string {
   248  	if x != nil {
   249  		return x.TargetColumn
   250  	}
   251  	return ""
   252  }
   253  
   254  func (x *AutoMlTablesInputs) GetTransformations() []*AutoMlTablesInputs_Transformation {
   255  	if x != nil {
   256  		return x.Transformations
   257  	}
   258  	return nil
   259  }
   260  
   261  func (x *AutoMlTablesInputs) GetOptimizationObjective() string {
   262  	if x != nil {
   263  		return x.OptimizationObjective
   264  	}
   265  	return ""
   266  }
   267  
   268  func (x *AutoMlTablesInputs) GetTrainBudgetMilliNodeHours() int64 {
   269  	if x != nil {
   270  		return x.TrainBudgetMilliNodeHours
   271  	}
   272  	return 0
   273  }
   274  
   275  func (x *AutoMlTablesInputs) GetDisableEarlyStopping() bool {
   276  	if x != nil {
   277  		return x.DisableEarlyStopping
   278  	}
   279  	return false
   280  }
   281  
   282  func (x *AutoMlTablesInputs) GetWeightColumnName() string {
   283  	if x != nil {
   284  		return x.WeightColumnName
   285  	}
   286  	return ""
   287  }
   288  
   289  func (x *AutoMlTablesInputs) GetExportEvaluatedDataItemsConfig() *ExportEvaluatedDataItemsConfig {
   290  	if x != nil {
   291  		return x.ExportEvaluatedDataItemsConfig
   292  	}
   293  	return nil
   294  }
   295  
   296  func (x *AutoMlTablesInputs) GetAdditionalExperiments() []string {
   297  	if x != nil {
   298  		return x.AdditionalExperiments
   299  	}
   300  	return nil
   301  }
   302  
   303  type isAutoMlTablesInputs_AdditionalOptimizationObjectiveConfig interface {
   304  	isAutoMlTablesInputs_AdditionalOptimizationObjectiveConfig()
   305  }
   306  
   307  type AutoMlTablesInputs_OptimizationObjectiveRecallValue struct {
   308  	// Required when optimization_objective is "maximize-precision-at-recall".
   309  	// Must be between 0 and 1, inclusive.
   310  	OptimizationObjectiveRecallValue float32 `protobuf:"fixed32,5,opt,name=optimization_objective_recall_value,json=optimizationObjectiveRecallValue,proto3,oneof"`
   311  }
   312  
   313  type AutoMlTablesInputs_OptimizationObjectivePrecisionValue struct {
   314  	// Required when optimization_objective is "maximize-recall-at-precision".
   315  	// Must be between 0 and 1, inclusive.
   316  	OptimizationObjectivePrecisionValue float32 `protobuf:"fixed32,6,opt,name=optimization_objective_precision_value,json=optimizationObjectivePrecisionValue,proto3,oneof"`
   317  }
   318  
   319  func (*AutoMlTablesInputs_OptimizationObjectiveRecallValue) isAutoMlTablesInputs_AdditionalOptimizationObjectiveConfig() {
   320  }
   321  
   322  func (*AutoMlTablesInputs_OptimizationObjectivePrecisionValue) isAutoMlTablesInputs_AdditionalOptimizationObjectiveConfig() {
   323  }
   324  
   325  // Model metadata specific to AutoML Tables.
   326  type AutoMlTablesMetadata struct {
   327  	state         protoimpl.MessageState
   328  	sizeCache     protoimpl.SizeCache
   329  	unknownFields protoimpl.UnknownFields
   330  
   331  	// Output only. The actual training cost of the model, expressed in milli
   332  	// node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed
   333  	// to not exceed the train budget.
   334  	TrainCostMilliNodeHours int64 `protobuf:"varint,1,opt,name=train_cost_milli_node_hours,json=trainCostMilliNodeHours,proto3" json:"train_cost_milli_node_hours,omitempty"`
   335  }
   336  
   337  func (x *AutoMlTablesMetadata) Reset() {
   338  	*x = AutoMlTablesMetadata{}
   339  	if protoimpl.UnsafeEnabled {
   340  		mi := &file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[2]
   341  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
   342  		ms.StoreMessageInfo(mi)
   343  	}
   344  }
   345  
   346  func (x *AutoMlTablesMetadata) String() string {
   347  	return protoimpl.X.MessageStringOf(x)
   348  }
   349  
   350  func (*AutoMlTablesMetadata) ProtoMessage() {}
   351  
   352  func (x *AutoMlTablesMetadata) ProtoReflect() protoreflect.Message {
   353  	mi := &file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[2]
   354  	if protoimpl.UnsafeEnabled && x != nil {
   355  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
   356  		if ms.LoadMessageInfo() == nil {
   357  			ms.StoreMessageInfo(mi)
   358  		}
   359  		return ms
   360  	}
   361  	return mi.MessageOf(x)
   362  }
   363  
   364  // Deprecated: Use AutoMlTablesMetadata.ProtoReflect.Descriptor instead.
   365  func (*AutoMlTablesMetadata) Descriptor() ([]byte, []int) {
   366  	return file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_rawDescGZIP(), []int{2}
   367  }
   368  
   369  func (x *AutoMlTablesMetadata) GetTrainCostMilliNodeHours() int64 {
   370  	if x != nil {
   371  		return x.TrainCostMilliNodeHours
   372  	}
   373  	return 0
   374  }
   375  
   376  type AutoMlTablesInputs_Transformation struct {
   377  	state         protoimpl.MessageState
   378  	sizeCache     protoimpl.SizeCache
   379  	unknownFields protoimpl.UnknownFields
   380  
   381  	// The transformation that the training pipeline will apply to the input
   382  	// columns.
   383  	//
   384  	// Types that are assignable to TransformationDetail:
   385  	//
   386  	//	*AutoMlTablesInputs_Transformation_Auto
   387  	//	*AutoMlTablesInputs_Transformation_Numeric
   388  	//	*AutoMlTablesInputs_Transformation_Categorical
   389  	//	*AutoMlTablesInputs_Transformation_Timestamp
   390  	//	*AutoMlTablesInputs_Transformation_Text
   391  	//	*AutoMlTablesInputs_Transformation_RepeatedNumeric
   392  	//	*AutoMlTablesInputs_Transformation_RepeatedCategorical
   393  	//	*AutoMlTablesInputs_Transformation_RepeatedText
   394  	TransformationDetail isAutoMlTablesInputs_Transformation_TransformationDetail `protobuf_oneof:"transformation_detail"`
   395  }
   396  
   397  func (x *AutoMlTablesInputs_Transformation) Reset() {
   398  	*x = AutoMlTablesInputs_Transformation{}
   399  	if protoimpl.UnsafeEnabled {
   400  		mi := &file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[3]
   401  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
   402  		ms.StoreMessageInfo(mi)
   403  	}
   404  }
   405  
   406  func (x *AutoMlTablesInputs_Transformation) String() string {
   407  	return protoimpl.X.MessageStringOf(x)
   408  }
   409  
   410  func (*AutoMlTablesInputs_Transformation) ProtoMessage() {}
   411  
   412  func (x *AutoMlTablesInputs_Transformation) ProtoReflect() protoreflect.Message {
   413  	mi := &file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[3]
   414  	if protoimpl.UnsafeEnabled && x != nil {
   415  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
   416  		if ms.LoadMessageInfo() == nil {
   417  			ms.StoreMessageInfo(mi)
   418  		}
   419  		return ms
   420  	}
   421  	return mi.MessageOf(x)
   422  }
   423  
   424  // Deprecated: Use AutoMlTablesInputs_Transformation.ProtoReflect.Descriptor instead.
   425  func (*AutoMlTablesInputs_Transformation) Descriptor() ([]byte, []int) {
   426  	return file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_rawDescGZIP(), []int{1, 0}
   427  }
   428  
   429  func (m *AutoMlTablesInputs_Transformation) GetTransformationDetail() isAutoMlTablesInputs_Transformation_TransformationDetail {
   430  	if m != nil {
   431  		return m.TransformationDetail
   432  	}
   433  	return nil
   434  }
   435  
   436  func (x *AutoMlTablesInputs_Transformation) GetAuto() *AutoMlTablesInputs_Transformation_AutoTransformation {
   437  	if x, ok := x.GetTransformationDetail().(*AutoMlTablesInputs_Transformation_Auto); ok {
   438  		return x.Auto
   439  	}
   440  	return nil
   441  }
   442  
   443  func (x *AutoMlTablesInputs_Transformation) GetNumeric() *AutoMlTablesInputs_Transformation_NumericTransformation {
   444  	if x, ok := x.GetTransformationDetail().(*AutoMlTablesInputs_Transformation_Numeric); ok {
   445  		return x.Numeric
   446  	}
   447  	return nil
   448  }
   449  
   450  func (x *AutoMlTablesInputs_Transformation) GetCategorical() *AutoMlTablesInputs_Transformation_CategoricalTransformation {
   451  	if x, ok := x.GetTransformationDetail().(*AutoMlTablesInputs_Transformation_Categorical); ok {
   452  		return x.Categorical
   453  	}
   454  	return nil
   455  }
   456  
   457  func (x *AutoMlTablesInputs_Transformation) GetTimestamp() *AutoMlTablesInputs_Transformation_TimestampTransformation {
   458  	if x, ok := x.GetTransformationDetail().(*AutoMlTablesInputs_Transformation_Timestamp); ok {
   459  		return x.Timestamp
   460  	}
   461  	return nil
   462  }
   463  
   464  func (x *AutoMlTablesInputs_Transformation) GetText() *AutoMlTablesInputs_Transformation_TextTransformation {
   465  	if x, ok := x.GetTransformationDetail().(*AutoMlTablesInputs_Transformation_Text); ok {
   466  		return x.Text
   467  	}
   468  	return nil
   469  }
   470  
   471  func (x *AutoMlTablesInputs_Transformation) GetRepeatedNumeric() *AutoMlTablesInputs_Transformation_NumericArrayTransformation {
   472  	if x, ok := x.GetTransformationDetail().(*AutoMlTablesInputs_Transformation_RepeatedNumeric); ok {
   473  		return x.RepeatedNumeric
   474  	}
   475  	return nil
   476  }
   477  
   478  func (x *AutoMlTablesInputs_Transformation) GetRepeatedCategorical() *AutoMlTablesInputs_Transformation_CategoricalArrayTransformation {
   479  	if x, ok := x.GetTransformationDetail().(*AutoMlTablesInputs_Transformation_RepeatedCategorical); ok {
   480  		return x.RepeatedCategorical
   481  	}
   482  	return nil
   483  }
   484  
   485  func (x *AutoMlTablesInputs_Transformation) GetRepeatedText() *AutoMlTablesInputs_Transformation_TextArrayTransformation {
   486  	if x, ok := x.GetTransformationDetail().(*AutoMlTablesInputs_Transformation_RepeatedText); ok {
   487  		return x.RepeatedText
   488  	}
   489  	return nil
   490  }
   491  
   492  type isAutoMlTablesInputs_Transformation_TransformationDetail interface {
   493  	isAutoMlTablesInputs_Transformation_TransformationDetail()
   494  }
   495  
   496  type AutoMlTablesInputs_Transformation_Auto struct {
   497  	Auto *AutoMlTablesInputs_Transformation_AutoTransformation `protobuf:"bytes,1,opt,name=auto,proto3,oneof"`
   498  }
   499  
   500  type AutoMlTablesInputs_Transformation_Numeric struct {
   501  	Numeric *AutoMlTablesInputs_Transformation_NumericTransformation `protobuf:"bytes,2,opt,name=numeric,proto3,oneof"`
   502  }
   503  
   504  type AutoMlTablesInputs_Transformation_Categorical struct {
   505  	Categorical *AutoMlTablesInputs_Transformation_CategoricalTransformation `protobuf:"bytes,3,opt,name=categorical,proto3,oneof"`
   506  }
   507  
   508  type AutoMlTablesInputs_Transformation_Timestamp struct {
   509  	Timestamp *AutoMlTablesInputs_Transformation_TimestampTransformation `protobuf:"bytes,4,opt,name=timestamp,proto3,oneof"`
   510  }
   511  
   512  type AutoMlTablesInputs_Transformation_Text struct {
   513  	Text *AutoMlTablesInputs_Transformation_TextTransformation `protobuf:"bytes,5,opt,name=text,proto3,oneof"`
   514  }
   515  
   516  type AutoMlTablesInputs_Transformation_RepeatedNumeric struct {
   517  	RepeatedNumeric *AutoMlTablesInputs_Transformation_NumericArrayTransformation `protobuf:"bytes,6,opt,name=repeated_numeric,json=repeatedNumeric,proto3,oneof"`
   518  }
   519  
   520  type AutoMlTablesInputs_Transformation_RepeatedCategorical struct {
   521  	RepeatedCategorical *AutoMlTablesInputs_Transformation_CategoricalArrayTransformation `protobuf:"bytes,7,opt,name=repeated_categorical,json=repeatedCategorical,proto3,oneof"`
   522  }
   523  
   524  type AutoMlTablesInputs_Transformation_RepeatedText struct {
   525  	RepeatedText *AutoMlTablesInputs_Transformation_TextArrayTransformation `protobuf:"bytes,8,opt,name=repeated_text,json=repeatedText,proto3,oneof"`
   526  }
   527  
   528  func (*AutoMlTablesInputs_Transformation_Auto) isAutoMlTablesInputs_Transformation_TransformationDetail() {
   529  }
   530  
   531  func (*AutoMlTablesInputs_Transformation_Numeric) isAutoMlTablesInputs_Transformation_TransformationDetail() {
   532  }
   533  
   534  func (*AutoMlTablesInputs_Transformation_Categorical) isAutoMlTablesInputs_Transformation_TransformationDetail() {
   535  }
   536  
   537  func (*AutoMlTablesInputs_Transformation_Timestamp) isAutoMlTablesInputs_Transformation_TransformationDetail() {
   538  }
   539  
   540  func (*AutoMlTablesInputs_Transformation_Text) isAutoMlTablesInputs_Transformation_TransformationDetail() {
   541  }
   542  
   543  func (*AutoMlTablesInputs_Transformation_RepeatedNumeric) isAutoMlTablesInputs_Transformation_TransformationDetail() {
   544  }
   545  
   546  func (*AutoMlTablesInputs_Transformation_RepeatedCategorical) isAutoMlTablesInputs_Transformation_TransformationDetail() {
   547  }
   548  
   549  func (*AutoMlTablesInputs_Transformation_RepeatedText) isAutoMlTablesInputs_Transformation_TransformationDetail() {
   550  }
   551  
   552  // Training pipeline will infer the proper transformation based on the
   553  // statistic of dataset.
   554  type AutoMlTablesInputs_Transformation_AutoTransformation struct {
   555  	state         protoimpl.MessageState
   556  	sizeCache     protoimpl.SizeCache
   557  	unknownFields protoimpl.UnknownFields
   558  
   559  	ColumnName string `protobuf:"bytes,1,opt,name=column_name,json=columnName,proto3" json:"column_name,omitempty"`
   560  }
   561  
   562  func (x *AutoMlTablesInputs_Transformation_AutoTransformation) Reset() {
   563  	*x = AutoMlTablesInputs_Transformation_AutoTransformation{}
   564  	if protoimpl.UnsafeEnabled {
   565  		mi := &file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[4]
   566  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
   567  		ms.StoreMessageInfo(mi)
   568  	}
   569  }
   570  
   571  func (x *AutoMlTablesInputs_Transformation_AutoTransformation) String() string {
   572  	return protoimpl.X.MessageStringOf(x)
   573  }
   574  
   575  func (*AutoMlTablesInputs_Transformation_AutoTransformation) ProtoMessage() {}
   576  
   577  func (x *AutoMlTablesInputs_Transformation_AutoTransformation) ProtoReflect() protoreflect.Message {
   578  	mi := &file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[4]
   579  	if protoimpl.UnsafeEnabled && x != nil {
   580  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
   581  		if ms.LoadMessageInfo() == nil {
   582  			ms.StoreMessageInfo(mi)
   583  		}
   584  		return ms
   585  	}
   586  	return mi.MessageOf(x)
   587  }
   588  
   589  // Deprecated: Use AutoMlTablesInputs_Transformation_AutoTransformation.ProtoReflect.Descriptor instead.
   590  func (*AutoMlTablesInputs_Transformation_AutoTransformation) Descriptor() ([]byte, []int) {
   591  	return file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_rawDescGZIP(), []int{1, 0, 0}
   592  }
   593  
   594  func (x *AutoMlTablesInputs_Transformation_AutoTransformation) GetColumnName() string {
   595  	if x != nil {
   596  		return x.ColumnName
   597  	}
   598  	return ""
   599  }
   600  
   601  // Training pipeline will perform following transformation functions.
   602  //   - The value converted to float32.
   603  //   - The z_score of the value.
   604  //   - log(value+1) when the value is greater than or equal to 0. Otherwise,
   605  //     this transformation is not applied and the value is considered a
   606  //     missing value.
   607  //   - z_score of log(value+1) when the value is greater than or equal to 0.
   608  //     Otherwise, this transformation is not applied and the value is
   609  //     considered a missing value.
   610  //   - A boolean value that indicates whether the value is valid.
   611  type AutoMlTablesInputs_Transformation_NumericTransformation struct {
   612  	state         protoimpl.MessageState
   613  	sizeCache     protoimpl.SizeCache
   614  	unknownFields protoimpl.UnknownFields
   615  
   616  	ColumnName string `protobuf:"bytes,1,opt,name=column_name,json=columnName,proto3" json:"column_name,omitempty"`
   617  	// If invalid values is allowed, the training pipeline will create a
   618  	// boolean feature that indicated whether the value is valid.
   619  	// Otherwise, the training pipeline will discard the input row from
   620  	// trainining data.
   621  	InvalidValuesAllowed bool `protobuf:"varint,2,opt,name=invalid_values_allowed,json=invalidValuesAllowed,proto3" json:"invalid_values_allowed,omitempty"`
   622  }
   623  
   624  func (x *AutoMlTablesInputs_Transformation_NumericTransformation) Reset() {
   625  	*x = AutoMlTablesInputs_Transformation_NumericTransformation{}
   626  	if protoimpl.UnsafeEnabled {
   627  		mi := &file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[5]
   628  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
   629  		ms.StoreMessageInfo(mi)
   630  	}
   631  }
   632  
   633  func (x *AutoMlTablesInputs_Transformation_NumericTransformation) String() string {
   634  	return protoimpl.X.MessageStringOf(x)
   635  }
   636  
   637  func (*AutoMlTablesInputs_Transformation_NumericTransformation) ProtoMessage() {}
   638  
   639  func (x *AutoMlTablesInputs_Transformation_NumericTransformation) ProtoReflect() protoreflect.Message {
   640  	mi := &file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[5]
   641  	if protoimpl.UnsafeEnabled && x != nil {
   642  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
   643  		if ms.LoadMessageInfo() == nil {
   644  			ms.StoreMessageInfo(mi)
   645  		}
   646  		return ms
   647  	}
   648  	return mi.MessageOf(x)
   649  }
   650  
   651  // Deprecated: Use AutoMlTablesInputs_Transformation_NumericTransformation.ProtoReflect.Descriptor instead.
   652  func (*AutoMlTablesInputs_Transformation_NumericTransformation) Descriptor() ([]byte, []int) {
   653  	return file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_rawDescGZIP(), []int{1, 0, 1}
   654  }
   655  
   656  func (x *AutoMlTablesInputs_Transformation_NumericTransformation) GetColumnName() string {
   657  	if x != nil {
   658  		return x.ColumnName
   659  	}
   660  	return ""
   661  }
   662  
   663  func (x *AutoMlTablesInputs_Transformation_NumericTransformation) GetInvalidValuesAllowed() bool {
   664  	if x != nil {
   665  		return x.InvalidValuesAllowed
   666  	}
   667  	return false
   668  }
   669  
   670  // Training pipeline will perform following transformation functions.
   671  // *  The categorical string as is--no change to case, punctuation,
   672  // spelling,
   673  //
   674  //		tense, and so on.
   675  //	  - Convert the category name to a dictionary lookup index and generate an
   676  //	    embedding for each index.
   677  //	  - Categories that appear less than 5 times in the training dataset are
   678  //	    treated as the "unknown" category. The "unknown" category gets its own
   679  //	    special lookup index and resulting embedding.
   680  type AutoMlTablesInputs_Transformation_CategoricalTransformation struct {
   681  	state         protoimpl.MessageState
   682  	sizeCache     protoimpl.SizeCache
   683  	unknownFields protoimpl.UnknownFields
   684  
   685  	ColumnName string `protobuf:"bytes,1,opt,name=column_name,json=columnName,proto3" json:"column_name,omitempty"`
   686  }
   687  
   688  func (x *AutoMlTablesInputs_Transformation_CategoricalTransformation) Reset() {
   689  	*x = AutoMlTablesInputs_Transformation_CategoricalTransformation{}
   690  	if protoimpl.UnsafeEnabled {
   691  		mi := &file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[6]
   692  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
   693  		ms.StoreMessageInfo(mi)
   694  	}
   695  }
   696  
   697  func (x *AutoMlTablesInputs_Transformation_CategoricalTransformation) String() string {
   698  	return protoimpl.X.MessageStringOf(x)
   699  }
   700  
   701  func (*AutoMlTablesInputs_Transformation_CategoricalTransformation) ProtoMessage() {}
   702  
   703  func (x *AutoMlTablesInputs_Transformation_CategoricalTransformation) ProtoReflect() protoreflect.Message {
   704  	mi := &file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[6]
   705  	if protoimpl.UnsafeEnabled && x != nil {
   706  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
   707  		if ms.LoadMessageInfo() == nil {
   708  			ms.StoreMessageInfo(mi)
   709  		}
   710  		return ms
   711  	}
   712  	return mi.MessageOf(x)
   713  }
   714  
   715  // Deprecated: Use AutoMlTablesInputs_Transformation_CategoricalTransformation.ProtoReflect.Descriptor instead.
   716  func (*AutoMlTablesInputs_Transformation_CategoricalTransformation) Descriptor() ([]byte, []int) {
   717  	return file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_rawDescGZIP(), []int{1, 0, 2}
   718  }
   719  
   720  func (x *AutoMlTablesInputs_Transformation_CategoricalTransformation) GetColumnName() string {
   721  	if x != nil {
   722  		return x.ColumnName
   723  	}
   724  	return ""
   725  }
   726  
   727  // Training pipeline will perform following transformation functions.
   728  //   - Apply the transformation functions for Numerical columns.
   729  //   - Determine the year, month, day,and weekday. Treat each value from the
   730  //   - timestamp as a Categorical column.
   731  //   - Invalid numerical values (for example, values that fall outside of a
   732  //     typical timestamp range, or are extreme values) receive no special
   733  //     treatment and are not removed.
   734  type AutoMlTablesInputs_Transformation_TimestampTransformation struct {
   735  	state         protoimpl.MessageState
   736  	sizeCache     protoimpl.SizeCache
   737  	unknownFields protoimpl.UnknownFields
   738  
   739  	ColumnName string `protobuf:"bytes,1,opt,name=column_name,json=columnName,proto3" json:"column_name,omitempty"`
   740  	// The format in which that time field is expressed. The time_format must
   741  	// either be one of:
   742  	// * `unix-seconds`
   743  	// * `unix-milliseconds`
   744  	// * `unix-microseconds`
   745  	// * `unix-nanoseconds`
   746  	// (for respectively number of seconds, milliseconds, microseconds and
   747  	// nanoseconds since start of the Unix epoch);
   748  	// or be written in `strftime` syntax. If time_format is not set, then the
   749  	// default format is RFC 3339 `date-time` format, where
   750  	// `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z)
   751  	TimeFormat string `protobuf:"bytes,2,opt,name=time_format,json=timeFormat,proto3" json:"time_format,omitempty"`
   752  	// If invalid values is allowed, the training pipeline will create a
   753  	// boolean feature that indicated whether the value is valid.
   754  	// Otherwise, the training pipeline will discard the input row from
   755  	// trainining data.
   756  	InvalidValuesAllowed bool `protobuf:"varint,3,opt,name=invalid_values_allowed,json=invalidValuesAllowed,proto3" json:"invalid_values_allowed,omitempty"`
   757  }
   758  
   759  func (x *AutoMlTablesInputs_Transformation_TimestampTransformation) Reset() {
   760  	*x = AutoMlTablesInputs_Transformation_TimestampTransformation{}
   761  	if protoimpl.UnsafeEnabled {
   762  		mi := &file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[7]
   763  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
   764  		ms.StoreMessageInfo(mi)
   765  	}
   766  }
   767  
   768  func (x *AutoMlTablesInputs_Transformation_TimestampTransformation) String() string {
   769  	return protoimpl.X.MessageStringOf(x)
   770  }
   771  
   772  func (*AutoMlTablesInputs_Transformation_TimestampTransformation) ProtoMessage() {}
   773  
   774  func (x *AutoMlTablesInputs_Transformation_TimestampTransformation) ProtoReflect() protoreflect.Message {
   775  	mi := &file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[7]
   776  	if protoimpl.UnsafeEnabled && x != nil {
   777  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
   778  		if ms.LoadMessageInfo() == nil {
   779  			ms.StoreMessageInfo(mi)
   780  		}
   781  		return ms
   782  	}
   783  	return mi.MessageOf(x)
   784  }
   785  
   786  // Deprecated: Use AutoMlTablesInputs_Transformation_TimestampTransformation.ProtoReflect.Descriptor instead.
   787  func (*AutoMlTablesInputs_Transformation_TimestampTransformation) Descriptor() ([]byte, []int) {
   788  	return file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_rawDescGZIP(), []int{1, 0, 3}
   789  }
   790  
   791  func (x *AutoMlTablesInputs_Transformation_TimestampTransformation) GetColumnName() string {
   792  	if x != nil {
   793  		return x.ColumnName
   794  	}
   795  	return ""
   796  }
   797  
   798  func (x *AutoMlTablesInputs_Transformation_TimestampTransformation) GetTimeFormat() string {
   799  	if x != nil {
   800  		return x.TimeFormat
   801  	}
   802  	return ""
   803  }
   804  
   805  func (x *AutoMlTablesInputs_Transformation_TimestampTransformation) GetInvalidValuesAllowed() bool {
   806  	if x != nil {
   807  		return x.InvalidValuesAllowed
   808  	}
   809  	return false
   810  }
   811  
   812  // Training pipeline will perform following transformation functions.
   813  // *  The text as is--no change to case, punctuation, spelling, tense, and
   814  // so
   815  //
   816  //	on.
   817  //
   818  // *  Tokenize text to words. Convert each words to a dictionary lookup
   819  // index
   820  //
   821  //	and generate an embedding for each index. Combine the embedding of all
   822  //	elements into a single embedding using the mean.
   823  //
   824  // *  Tokenization is based on unicode script boundaries.
   825  // *  Missing values get their own lookup index and resulting embedding.
   826  // *  Stop-words receive no special treatment and are not removed.
   827  type AutoMlTablesInputs_Transformation_TextTransformation struct {
   828  	state         protoimpl.MessageState
   829  	sizeCache     protoimpl.SizeCache
   830  	unknownFields protoimpl.UnknownFields
   831  
   832  	ColumnName string `protobuf:"bytes,1,opt,name=column_name,json=columnName,proto3" json:"column_name,omitempty"`
   833  }
   834  
   835  func (x *AutoMlTablesInputs_Transformation_TextTransformation) Reset() {
   836  	*x = AutoMlTablesInputs_Transformation_TextTransformation{}
   837  	if protoimpl.UnsafeEnabled {
   838  		mi := &file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[8]
   839  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
   840  		ms.StoreMessageInfo(mi)
   841  	}
   842  }
   843  
   844  func (x *AutoMlTablesInputs_Transformation_TextTransformation) String() string {
   845  	return protoimpl.X.MessageStringOf(x)
   846  }
   847  
   848  func (*AutoMlTablesInputs_Transformation_TextTransformation) ProtoMessage() {}
   849  
   850  func (x *AutoMlTablesInputs_Transformation_TextTransformation) ProtoReflect() protoreflect.Message {
   851  	mi := &file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[8]
   852  	if protoimpl.UnsafeEnabled && x != nil {
   853  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
   854  		if ms.LoadMessageInfo() == nil {
   855  			ms.StoreMessageInfo(mi)
   856  		}
   857  		return ms
   858  	}
   859  	return mi.MessageOf(x)
   860  }
   861  
   862  // Deprecated: Use AutoMlTablesInputs_Transformation_TextTransformation.ProtoReflect.Descriptor instead.
   863  func (*AutoMlTablesInputs_Transformation_TextTransformation) Descriptor() ([]byte, []int) {
   864  	return file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_rawDescGZIP(), []int{1, 0, 4}
   865  }
   866  
   867  func (x *AutoMlTablesInputs_Transformation_TextTransformation) GetColumnName() string {
   868  	if x != nil {
   869  		return x.ColumnName
   870  	}
   871  	return ""
   872  }
   873  
   874  // Treats the column as numerical array and performs following
   875  // transformation functions.
   876  //   - All transformations for Numerical types applied to the average of the
   877  //     all elements.
   878  //   - The average of empty arrays is treated as zero.
   879  type AutoMlTablesInputs_Transformation_NumericArrayTransformation struct {
   880  	state         protoimpl.MessageState
   881  	sizeCache     protoimpl.SizeCache
   882  	unknownFields protoimpl.UnknownFields
   883  
   884  	ColumnName string `protobuf:"bytes,1,opt,name=column_name,json=columnName,proto3" json:"column_name,omitempty"`
   885  	// If invalid values is allowed, the training pipeline will create a
   886  	// boolean feature that indicated whether the value is valid.
   887  	// Otherwise, the training pipeline will discard the input row from
   888  	// trainining data.
   889  	InvalidValuesAllowed bool `protobuf:"varint,2,opt,name=invalid_values_allowed,json=invalidValuesAllowed,proto3" json:"invalid_values_allowed,omitempty"`
   890  }
   891  
   892  func (x *AutoMlTablesInputs_Transformation_NumericArrayTransformation) Reset() {
   893  	*x = AutoMlTablesInputs_Transformation_NumericArrayTransformation{}
   894  	if protoimpl.UnsafeEnabled {
   895  		mi := &file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[9]
   896  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
   897  		ms.StoreMessageInfo(mi)
   898  	}
   899  }
   900  
   901  func (x *AutoMlTablesInputs_Transformation_NumericArrayTransformation) String() string {
   902  	return protoimpl.X.MessageStringOf(x)
   903  }
   904  
   905  func (*AutoMlTablesInputs_Transformation_NumericArrayTransformation) ProtoMessage() {}
   906  
   907  func (x *AutoMlTablesInputs_Transformation_NumericArrayTransformation) ProtoReflect() protoreflect.Message {
   908  	mi := &file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[9]
   909  	if protoimpl.UnsafeEnabled && x != nil {
   910  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
   911  		if ms.LoadMessageInfo() == nil {
   912  			ms.StoreMessageInfo(mi)
   913  		}
   914  		return ms
   915  	}
   916  	return mi.MessageOf(x)
   917  }
   918  
   919  // Deprecated: Use AutoMlTablesInputs_Transformation_NumericArrayTransformation.ProtoReflect.Descriptor instead.
   920  func (*AutoMlTablesInputs_Transformation_NumericArrayTransformation) Descriptor() ([]byte, []int) {
   921  	return file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_rawDescGZIP(), []int{1, 0, 5}
   922  }
   923  
   924  func (x *AutoMlTablesInputs_Transformation_NumericArrayTransformation) GetColumnName() string {
   925  	if x != nil {
   926  		return x.ColumnName
   927  	}
   928  	return ""
   929  }
   930  
   931  func (x *AutoMlTablesInputs_Transformation_NumericArrayTransformation) GetInvalidValuesAllowed() bool {
   932  	if x != nil {
   933  		return x.InvalidValuesAllowed
   934  	}
   935  	return false
   936  }
   937  
   938  // Treats the column as categorical array and performs following
   939  // transformation functions.
   940  // *  For each element in the array, convert the category name to a
   941  // dictionary
   942  //
   943  //	lookup index and generate an embedding for each index.
   944  //	Combine the embedding of all elements into a single embedding using
   945  //	the mean.
   946  //
   947  // *  Empty arrays treated as an embedding of zeroes.
   948  type AutoMlTablesInputs_Transformation_CategoricalArrayTransformation struct {
   949  	state         protoimpl.MessageState
   950  	sizeCache     protoimpl.SizeCache
   951  	unknownFields protoimpl.UnknownFields
   952  
   953  	ColumnName string `protobuf:"bytes,1,opt,name=column_name,json=columnName,proto3" json:"column_name,omitempty"`
   954  }
   955  
   956  func (x *AutoMlTablesInputs_Transformation_CategoricalArrayTransformation) Reset() {
   957  	*x = AutoMlTablesInputs_Transformation_CategoricalArrayTransformation{}
   958  	if protoimpl.UnsafeEnabled {
   959  		mi := &file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[10]
   960  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
   961  		ms.StoreMessageInfo(mi)
   962  	}
   963  }
   964  
   965  func (x *AutoMlTablesInputs_Transformation_CategoricalArrayTransformation) String() string {
   966  	return protoimpl.X.MessageStringOf(x)
   967  }
   968  
   969  func (*AutoMlTablesInputs_Transformation_CategoricalArrayTransformation) ProtoMessage() {}
   970  
   971  func (x *AutoMlTablesInputs_Transformation_CategoricalArrayTransformation) ProtoReflect() protoreflect.Message {
   972  	mi := &file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[10]
   973  	if protoimpl.UnsafeEnabled && x != nil {
   974  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
   975  		if ms.LoadMessageInfo() == nil {
   976  			ms.StoreMessageInfo(mi)
   977  		}
   978  		return ms
   979  	}
   980  	return mi.MessageOf(x)
   981  }
   982  
   983  // Deprecated: Use AutoMlTablesInputs_Transformation_CategoricalArrayTransformation.ProtoReflect.Descriptor instead.
   984  func (*AutoMlTablesInputs_Transformation_CategoricalArrayTransformation) Descriptor() ([]byte, []int) {
   985  	return file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_rawDescGZIP(), []int{1, 0, 6}
   986  }
   987  
   988  func (x *AutoMlTablesInputs_Transformation_CategoricalArrayTransformation) GetColumnName() string {
   989  	if x != nil {
   990  		return x.ColumnName
   991  	}
   992  	return ""
   993  }
   994  
   995  // Treats the column as text array and performs following transformation
   996  // functions.
   997  // *  Concatenate all text values in the array into a single text value
   998  // using
   999  //
  1000  //	a space (" ") as a delimiter, and then treat the result as a single
  1001  //	text value. Apply the transformations for Text columns.
  1002  //
  1003  // *  Empty arrays treated as an empty text.
  1004  type AutoMlTablesInputs_Transformation_TextArrayTransformation struct {
  1005  	state         protoimpl.MessageState
  1006  	sizeCache     protoimpl.SizeCache
  1007  	unknownFields protoimpl.UnknownFields
  1008  
  1009  	ColumnName string `protobuf:"bytes,1,opt,name=column_name,json=columnName,proto3" json:"column_name,omitempty"`
  1010  }
  1011  
  1012  func (x *AutoMlTablesInputs_Transformation_TextArrayTransformation) Reset() {
  1013  	*x = AutoMlTablesInputs_Transformation_TextArrayTransformation{}
  1014  	if protoimpl.UnsafeEnabled {
  1015  		mi := &file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[11]
  1016  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
  1017  		ms.StoreMessageInfo(mi)
  1018  	}
  1019  }
  1020  
  1021  func (x *AutoMlTablesInputs_Transformation_TextArrayTransformation) String() string {
  1022  	return protoimpl.X.MessageStringOf(x)
  1023  }
  1024  
  1025  func (*AutoMlTablesInputs_Transformation_TextArrayTransformation) ProtoMessage() {}
  1026  
  1027  func (x *AutoMlTablesInputs_Transformation_TextArrayTransformation) ProtoReflect() protoreflect.Message {
  1028  	mi := &file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[11]
  1029  	if protoimpl.UnsafeEnabled && x != nil {
  1030  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
  1031  		if ms.LoadMessageInfo() == nil {
  1032  			ms.StoreMessageInfo(mi)
  1033  		}
  1034  		return ms
  1035  	}
  1036  	return mi.MessageOf(x)
  1037  }
  1038  
  1039  // Deprecated: Use AutoMlTablesInputs_Transformation_TextArrayTransformation.ProtoReflect.Descriptor instead.
  1040  func (*AutoMlTablesInputs_Transformation_TextArrayTransformation) Descriptor() ([]byte, []int) {
  1041  	return file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_rawDescGZIP(), []int{1, 0, 7}
  1042  }
  1043  
  1044  func (x *AutoMlTablesInputs_Transformation_TextArrayTransformation) GetColumnName() string {
  1045  	if x != nil {
  1046  		return x.ColumnName
  1047  	}
  1048  	return ""
  1049  }
  1050  
  1051  var File_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto protoreflect.FileDescriptor
  1052  
  1053  var file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_rawDesc = []byte{
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  1289  }
  1290  
  1291  var (
  1292  	file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_rawDescOnce sync.Once
  1293  	file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_rawDescData = file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_rawDesc
  1294  )
  1295  
  1296  func file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_rawDescGZIP() []byte {
  1297  	file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_rawDescOnce.Do(func() {
  1298  		file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_rawDescData)
  1299  	})
  1300  	return file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_rawDescData
  1301  }
  1302  
  1303  var file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes = make([]protoimpl.MessageInfo, 12)
  1304  var file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_goTypes = []interface{}{
  1305  	(*AutoMlTables)(nil),                                                     // 0: google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables
  1306  	(*AutoMlTablesInputs)(nil),                                               // 1: google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
  1307  	(*AutoMlTablesMetadata)(nil),                                             // 2: google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
  1308  	(*AutoMlTablesInputs_Transformation)(nil),                                // 3: google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation
  1309  	(*AutoMlTablesInputs_Transformation_AutoTransformation)(nil),             // 4: google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation
  1310  	(*AutoMlTablesInputs_Transformation_NumericTransformation)(nil),          // 5: google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation
  1311  	(*AutoMlTablesInputs_Transformation_CategoricalTransformation)(nil),      // 6: google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation
  1312  	(*AutoMlTablesInputs_Transformation_TimestampTransformation)(nil),        // 7: google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation
  1313  	(*AutoMlTablesInputs_Transformation_TextTransformation)(nil),             // 8: google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation
  1314  	(*AutoMlTablesInputs_Transformation_NumericArrayTransformation)(nil),     // 9: google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation
  1315  	(*AutoMlTablesInputs_Transformation_CategoricalArrayTransformation)(nil), // 10: google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation
  1316  	(*AutoMlTablesInputs_Transformation_TextArrayTransformation)(nil),        // 11: google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation
  1317  	(*ExportEvaluatedDataItemsConfig)(nil),                                   // 12: google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig
  1318  }
  1319  var file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_depIdxs = []int32{
  1320  	1,  // 0: google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables.inputs:type_name -> google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
  1321  	2,  // 1: google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables.metadata:type_name -> google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
  1322  	3,  // 2: google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.transformations:type_name -> google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation
  1323  	12, // 3: google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.export_evaluated_data_items_config:type_name -> google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig
  1324  	4,  // 4: google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.auto:type_name -> google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation
  1325  	5,  // 5: google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.numeric:type_name -> google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation
  1326  	6,  // 6: google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.categorical:type_name -> google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation
  1327  	7,  // 7: google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.timestamp:type_name -> google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation
  1328  	8,  // 8: google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.text:type_name -> google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation
  1329  	9,  // 9: google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.repeated_numeric:type_name -> google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation
  1330  	10, // 10: google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.repeated_categorical:type_name -> google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation
  1331  	11, // 11: google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.repeated_text:type_name -> google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation
  1332  	12, // [12:12] is the sub-list for method output_type
  1333  	12, // [12:12] is the sub-list for method input_type
  1334  	12, // [12:12] is the sub-list for extension type_name
  1335  	12, // [12:12] is the sub-list for extension extendee
  1336  	0,  // [0:12] is the sub-list for field type_name
  1337  }
  1338  
  1339  func init() { file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_init() }
  1340  func file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_init() {
  1341  	if File_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto != nil {
  1342  		return
  1343  	}
  1344  	file_google_cloud_aiplatform_v1_schema_trainingjob_definition_export_evaluated_data_items_config_proto_init()
  1345  	if !protoimpl.UnsafeEnabled {
  1346  		file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
  1347  			switch v := v.(*AutoMlTables); i {
  1348  			case 0:
  1349  				return &v.state
  1350  			case 1:
  1351  				return &v.sizeCache
  1352  			case 2:
  1353  				return &v.unknownFields
  1354  			default:
  1355  				return nil
  1356  			}
  1357  		}
  1358  		file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} {
  1359  			switch v := v.(*AutoMlTablesInputs); i {
  1360  			case 0:
  1361  				return &v.state
  1362  			case 1:
  1363  				return &v.sizeCache
  1364  			case 2:
  1365  				return &v.unknownFields
  1366  			default:
  1367  				return nil
  1368  			}
  1369  		}
  1370  		file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} {
  1371  			switch v := v.(*AutoMlTablesMetadata); i {
  1372  			case 0:
  1373  				return &v.state
  1374  			case 1:
  1375  				return &v.sizeCache
  1376  			case 2:
  1377  				return &v.unknownFields
  1378  			default:
  1379  				return nil
  1380  			}
  1381  		}
  1382  		file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} {
  1383  			switch v := v.(*AutoMlTablesInputs_Transformation); i {
  1384  			case 0:
  1385  				return &v.state
  1386  			case 1:
  1387  				return &v.sizeCache
  1388  			case 2:
  1389  				return &v.unknownFields
  1390  			default:
  1391  				return nil
  1392  			}
  1393  		}
  1394  		file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[4].Exporter = func(v interface{}, i int) interface{} {
  1395  			switch v := v.(*AutoMlTablesInputs_Transformation_AutoTransformation); i {
  1396  			case 0:
  1397  				return &v.state
  1398  			case 1:
  1399  				return &v.sizeCache
  1400  			case 2:
  1401  				return &v.unknownFields
  1402  			default:
  1403  				return nil
  1404  			}
  1405  		}
  1406  		file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[5].Exporter = func(v interface{}, i int) interface{} {
  1407  			switch v := v.(*AutoMlTablesInputs_Transformation_NumericTransformation); i {
  1408  			case 0:
  1409  				return &v.state
  1410  			case 1:
  1411  				return &v.sizeCache
  1412  			case 2:
  1413  				return &v.unknownFields
  1414  			default:
  1415  				return nil
  1416  			}
  1417  		}
  1418  		file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[6].Exporter = func(v interface{}, i int) interface{} {
  1419  			switch v := v.(*AutoMlTablesInputs_Transformation_CategoricalTransformation); i {
  1420  			case 0:
  1421  				return &v.state
  1422  			case 1:
  1423  				return &v.sizeCache
  1424  			case 2:
  1425  				return &v.unknownFields
  1426  			default:
  1427  				return nil
  1428  			}
  1429  		}
  1430  		file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[7].Exporter = func(v interface{}, i int) interface{} {
  1431  			switch v := v.(*AutoMlTablesInputs_Transformation_TimestampTransformation); i {
  1432  			case 0:
  1433  				return &v.state
  1434  			case 1:
  1435  				return &v.sizeCache
  1436  			case 2:
  1437  				return &v.unknownFields
  1438  			default:
  1439  				return nil
  1440  			}
  1441  		}
  1442  		file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[8].Exporter = func(v interface{}, i int) interface{} {
  1443  			switch v := v.(*AutoMlTablesInputs_Transformation_TextTransformation); i {
  1444  			case 0:
  1445  				return &v.state
  1446  			case 1:
  1447  				return &v.sizeCache
  1448  			case 2:
  1449  				return &v.unknownFields
  1450  			default:
  1451  				return nil
  1452  			}
  1453  		}
  1454  		file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[9].Exporter = func(v interface{}, i int) interface{} {
  1455  			switch v := v.(*AutoMlTablesInputs_Transformation_NumericArrayTransformation); i {
  1456  			case 0:
  1457  				return &v.state
  1458  			case 1:
  1459  				return &v.sizeCache
  1460  			case 2:
  1461  				return &v.unknownFields
  1462  			default:
  1463  				return nil
  1464  			}
  1465  		}
  1466  		file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[10].Exporter = func(v interface{}, i int) interface{} {
  1467  			switch v := v.(*AutoMlTablesInputs_Transformation_CategoricalArrayTransformation); i {
  1468  			case 0:
  1469  				return &v.state
  1470  			case 1:
  1471  				return &v.sizeCache
  1472  			case 2:
  1473  				return &v.unknownFields
  1474  			default:
  1475  				return nil
  1476  			}
  1477  		}
  1478  		file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[11].Exporter = func(v interface{}, i int) interface{} {
  1479  			switch v := v.(*AutoMlTablesInputs_Transformation_TextArrayTransformation); i {
  1480  			case 0:
  1481  				return &v.state
  1482  			case 1:
  1483  				return &v.sizeCache
  1484  			case 2:
  1485  				return &v.unknownFields
  1486  			default:
  1487  				return nil
  1488  			}
  1489  		}
  1490  	}
  1491  	file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[1].OneofWrappers = []interface{}{
  1492  		(*AutoMlTablesInputs_OptimizationObjectiveRecallValue)(nil),
  1493  		(*AutoMlTablesInputs_OptimizationObjectivePrecisionValue)(nil),
  1494  	}
  1495  	file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes[3].OneofWrappers = []interface{}{
  1496  		(*AutoMlTablesInputs_Transformation_Auto)(nil),
  1497  		(*AutoMlTablesInputs_Transformation_Numeric)(nil),
  1498  		(*AutoMlTablesInputs_Transformation_Categorical)(nil),
  1499  		(*AutoMlTablesInputs_Transformation_Timestamp)(nil),
  1500  		(*AutoMlTablesInputs_Transformation_Text)(nil),
  1501  		(*AutoMlTablesInputs_Transformation_RepeatedNumeric)(nil),
  1502  		(*AutoMlTablesInputs_Transformation_RepeatedCategorical)(nil),
  1503  		(*AutoMlTablesInputs_Transformation_RepeatedText)(nil),
  1504  	}
  1505  	type x struct{}
  1506  	out := protoimpl.TypeBuilder{
  1507  		File: protoimpl.DescBuilder{
  1508  			GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
  1509  			RawDescriptor: file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_rawDesc,
  1510  			NumEnums:      0,
  1511  			NumMessages:   12,
  1512  			NumExtensions: 0,
  1513  			NumServices:   0,
  1514  		},
  1515  		GoTypes:           file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_goTypes,
  1516  		DependencyIndexes: file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_depIdxs,
  1517  		MessageInfos:      file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_msgTypes,
  1518  	}.Build()
  1519  	File_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto = out.File
  1520  	file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_rawDesc = nil
  1521  	file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_goTypes = nil
  1522  	file_google_cloud_aiplatform_v1_schema_trainingjob_definition_automl_tables_proto_depIdxs = nil
  1523  }
  1524  

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