#include <training_options.h>

Inheritance diagram for google_bigquery_api::TrainingOptions:

Public Member Functions
	TrainingOptions (const Json::Value &storage)

	TrainingOptions (Json::Value *storage)

virtual	~TrainingOptions ()

const StringPiece	GetTypeName () const

bool	has_data_split_column () const

void	clear_data_split_column ()

const StringPiece	get_data_split_column () const

void	set_data_split_column (const StringPiece &value)

bool	has_data_split_eval_fraction () const

void	clear_data_split_eval_fraction ()

double	get_data_split_eval_fraction () const

void	set_data_split_eval_fraction (double value)

bool	has_data_split_method () const

void	clear_data_split_method ()

const StringPiece	get_data_split_method () const

void	set_data_split_method (const StringPiece &value)

bool	has_distance_type () const

void	clear_distance_type ()

const StringPiece	get_distance_type () const

void	set_distance_type (const StringPiece &value)

bool	has_early_stop () const

void	clear_early_stop ()

bool	get_early_stop () const

void	set_early_stop (bool value)

bool	has_initial_learn_rate () const

void	clear_initial_learn_rate ()

double	get_initial_learn_rate () const

void	set_initial_learn_rate (double value)

bool	has_input_label_columns () const

void	clear_input_label_columns ()

const client::JsonCppArray< string >	get_input_label_columns () const

client::JsonCppArray< string >	mutable_inputLabelColumns ()

bool	has_kmeans_initialization_column () const

void	clear_kmeans_initialization_column ()

const StringPiece	get_kmeans_initialization_column () const

void	set_kmeans_initialization_column (const StringPiece &value)

bool	has_kmeans_initialization_method () const

void	clear_kmeans_initialization_method ()

const StringPiece	get_kmeans_initialization_method () const

void	set_kmeans_initialization_method (const StringPiece &value)

bool	has_l1_regularization () const

void	clear_l1_regularization ()

double	get_l1_regularization () const

void	set_l1_regularization (double value)

bool	has_l2_regularization () const

void	clear_l2_regularization ()

double	get_l2_regularization () const

void	set_l2_regularization (double value)

bool	has_label_class_weights () const

void	clear_label_class_weights ()

const client::JsonCppAssociativeArray< double >	get_label_class_weights () const

client::JsonCppAssociativeArray< double >	mutable_labelClassWeights ()

bool	has_learn_rate () const

void	clear_learn_rate ()

double	get_learn_rate () const

void	set_learn_rate (double value)

bool	has_learn_rate_strategy () const

void	clear_learn_rate_strategy ()

const StringPiece	get_learn_rate_strategy () const

void	set_learn_rate_strategy (const StringPiece &value)

bool	has_loss_type () const

void	clear_loss_type ()

const StringPiece	get_loss_type () const

void	set_loss_type (const StringPiece &value)

bool	has_max_iterations () const

void	clear_max_iterations ()

int64	get_max_iterations () const

void	set_max_iterations (int64 value)

bool	has_min_relative_progress () const

void	clear_min_relative_progress ()

double	get_min_relative_progress () const

void	set_min_relative_progress (double value)

bool	has_model_uri () const

void	clear_model_uri ()

const StringPiece	get_model_uri () const

void	set_model_uri (const StringPiece &value)

bool	has_num_clusters () const

void	clear_num_clusters ()

int64	get_num_clusters () const

void	set_num_clusters (int64 value)

bool	has_optimization_strategy () const

void	clear_optimization_strategy ()

const StringPiece	get_optimization_strategy () const

void	set_optimization_strategy (const StringPiece &value)

bool	has_warm_start () const

void	clear_warm_start ()

bool	get_warm_start () const

void	set_warm_start (bool value)

Static Public Member Functions
static TrainingOptions *	New ()

Detailed Description

No description provided.

Constructor & Destructor Documentation

◆ TrainingOptions() [1/2]

google_bigquery_api::TrainingOptions::TrainingOptions ( const Json::Value & storage )

explicit

Standard constructor for an immutable data object instance.

Parameters

[in] storage The underlying data storage for this instance.

◆ TrainingOptions() [2/2]

google_bigquery_api::TrainingOptions::TrainingOptions ( Json::Value * storage )

explicit

Standard constructor for a mutable data object instance.

Parameters

[in] storage The underlying data storage for this instance.

◆ ~TrainingOptions()

google_bigquery_api::TrainingOptions::~TrainingOptions ( )

virtual

Standard destructor.

Member Function Documentation

◆ clear_data_split_column()

void google_bigquery_api::TrainingOptions::clear_data_split_column ( )

inline

Clears the 'dataSplitColumn' attribute.

◆ clear_data_split_eval_fraction()

void google_bigquery_api::TrainingOptions::clear_data_split_eval_fraction ( )

inline

Clears the 'dataSplitEvalFraction' attribute.

◆ clear_data_split_method()

void google_bigquery_api::TrainingOptions::clear_data_split_method ( )

inline

Clears the 'dataSplitMethod' attribute.

◆ clear_distance_type()

void google_bigquery_api::TrainingOptions::clear_distance_type ( )

inline

Clears the 'distanceType' attribute.

◆ clear_early_stop()

void google_bigquery_api::TrainingOptions::clear_early_stop ( )

inline

Clears the 'earlyStop' attribute.

◆ clear_initial_learn_rate()

void google_bigquery_api::TrainingOptions::clear_initial_learn_rate ( )

inline

Clears the 'initialLearnRate' attribute.

◆ clear_input_label_columns()

void google_bigquery_api::TrainingOptions::clear_input_label_columns ( )

inline

Clears the 'inputLabelColumns' attribute.

◆ clear_kmeans_initialization_column()

void google_bigquery_api::TrainingOptions::clear_kmeans_initialization_column ( )

inline

Clears the 'kmeansInitializationColumn' attribute.

◆ clear_kmeans_initialization_method()

void google_bigquery_api::TrainingOptions::clear_kmeans_initialization_method ( )

inline

Clears the 'kmeansInitializationMethod' attribute.

◆ clear_l1_regularization()

void google_bigquery_api::TrainingOptions::clear_l1_regularization ( )

inline

Clears the 'l1Regularization' attribute.

◆ clear_l2_regularization()

void google_bigquery_api::TrainingOptions::clear_l2_regularization ( )

inline

Clears the 'l2Regularization' attribute.

◆ clear_label_class_weights()

void google_bigquery_api::TrainingOptions::clear_label_class_weights ( )

inline

Clears the 'labelClassWeights' attribute.

◆ clear_learn_rate()

void google_bigquery_api::TrainingOptions::clear_learn_rate ( )

inline

Clears the 'learnRate' attribute.

◆ clear_learn_rate_strategy()

void google_bigquery_api::TrainingOptions::clear_learn_rate_strategy ( )

inline

Clears the 'learnRateStrategy' attribute.

◆ clear_loss_type()

void google_bigquery_api::TrainingOptions::clear_loss_type ( )

inline

Clears the 'lossType' attribute.

◆ clear_max_iterations()

void google_bigquery_api::TrainingOptions::clear_max_iterations ( )

inline

Clears the 'maxIterations' attribute.

◆ clear_min_relative_progress()

void google_bigquery_api::TrainingOptions::clear_min_relative_progress ( )

inline

Clears the 'minRelativeProgress' attribute.

◆ clear_model_uri()

void google_bigquery_api::TrainingOptions::clear_model_uri ( )

inline

Clears the 'modelUri' attribute.

◆ clear_num_clusters()

void google_bigquery_api::TrainingOptions::clear_num_clusters ( )

inline

Clears the 'numClusters' attribute.

◆ clear_optimization_strategy()

void google_bigquery_api::TrainingOptions::clear_optimization_strategy ( )

inline

Clears the 'optimizationStrategy' attribute.

◆ clear_warm_start()

void google_bigquery_api::TrainingOptions::clear_warm_start ( )

inline

Clears the 'warmStart' attribute.

◆ get_data_split_column()

const StringPiece google_bigquery_api::TrainingOptions::get_data_split_column ( ) const

inline

Get the value of the 'dataSplitColumn' attribute.

◆ get_data_split_eval_fraction()

double google_bigquery_api::TrainingOptions::get_data_split_eval_fraction ( ) const

inline

Get the value of the 'dataSplitEvalFraction' attribute.

◆ get_data_split_method()

const StringPiece google_bigquery_api::TrainingOptions::get_data_split_method ( ) const

inline

Get the value of the 'dataSplitMethod' attribute.

◆ get_distance_type()

const StringPiece google_bigquery_api::TrainingOptions::get_distance_type ( ) const

inline

Get the value of the 'distanceType' attribute.

◆ get_early_stop()

bool google_bigquery_api::TrainingOptions::get_early_stop ( ) const

inline

Get the value of the 'earlyStop' attribute.

◆ get_initial_learn_rate()

double google_bigquery_api::TrainingOptions::get_initial_learn_rate ( ) const

inline

Get the value of the 'initialLearnRate' attribute.

◆ get_input_label_columns()

const client::JsonCppArray<string > google_bigquery_api::TrainingOptions::get_input_label_columns ( ) const

inline

Get a reference to the value of the 'inputLabelColumns' attribute.

◆ get_kmeans_initialization_column()

const StringPiece google_bigquery_api::TrainingOptions::get_kmeans_initialization_column ( ) const

inline

Get the value of the 'kmeansInitializationColumn' attribute.

◆ get_kmeans_initialization_method()

const StringPiece google_bigquery_api::TrainingOptions::get_kmeans_initialization_method ( ) const

inline

Get the value of the 'kmeansInitializationMethod' attribute.

◆ get_l1_regularization()

double google_bigquery_api::TrainingOptions::get_l1_regularization ( ) const

inline

Get the value of the 'l1Regularization' attribute.

◆ get_l2_regularization()

double google_bigquery_api::TrainingOptions::get_l2_regularization ( ) const

inline

Get the value of the 'l2Regularization' attribute.

◆ get_label_class_weights()

const client::JsonCppAssociativeArray<double > google_bigquery_api::TrainingOptions::get_label_class_weights ( ) const

inline

Get a reference to the value of the 'labelClassWeights' attribute.

◆ get_learn_rate()

double google_bigquery_api::TrainingOptions::get_learn_rate ( ) const

inline

Get the value of the 'learnRate' attribute.

◆ get_learn_rate_strategy()

const StringPiece google_bigquery_api::TrainingOptions::get_learn_rate_strategy ( ) const

inline

Get the value of the 'learnRateStrategy' attribute.

◆ get_loss_type()

const StringPiece google_bigquery_api::TrainingOptions::get_loss_type ( ) const

inline

Get the value of the 'lossType' attribute.

◆ get_max_iterations()

int64 google_bigquery_api::TrainingOptions::get_max_iterations ( ) const

inline

Get the value of the 'maxIterations' attribute.

◆ get_min_relative_progress()

double google_bigquery_api::TrainingOptions::get_min_relative_progress ( ) const

inline

Get the value of the 'minRelativeProgress' attribute.

◆ get_model_uri()

const StringPiece google_bigquery_api::TrainingOptions::get_model_uri ( ) const

inline

Get the value of the 'modelUri' attribute.

◆ get_num_clusters()

int64 google_bigquery_api::TrainingOptions::get_num_clusters ( ) const

inline

Get the value of the 'numClusters' attribute.

◆ get_optimization_strategy()

const StringPiece google_bigquery_api::TrainingOptions::get_optimization_strategy ( ) const

inline

Get the value of the 'optimizationStrategy' attribute.

◆ get_warm_start()

bool google_bigquery_api::TrainingOptions::get_warm_start ( ) const

inline

Get the value of the 'warmStart' attribute.

◆ GetTypeName()

const StringPiece google_bigquery_api::TrainingOptions::GetTypeName ( ) const

inline

Returns a string denoting the type of this data object.

Returns: google_bigquery_api::TrainingOptions

◆ has_data_split_column()

bool google_bigquery_api::TrainingOptions::has_data_split_column ( ) const

inline

Determine if the 'dataSplitColumn' attribute was set.

Returns: true if the 'dataSplitColumn' attribute was set.

◆ has_data_split_eval_fraction()

bool google_bigquery_api::TrainingOptions::has_data_split_eval_fraction ( ) const

inline

Determine if the 'dataSplitEvalFraction' attribute was set.

Returns: true if the 'dataSplitEvalFraction' attribute was set.

◆ has_data_split_method()

bool google_bigquery_api::TrainingOptions::has_data_split_method ( ) const

inline

Determine if the 'dataSplitMethod' attribute was set.

Returns: true if the 'dataSplitMethod' attribute was set.

◆ has_distance_type()

bool google_bigquery_api::TrainingOptions::has_distance_type ( ) const

inline

Determine if the 'distanceType' attribute was set.

Returns: true if the 'distanceType' attribute was set.

◆ has_early_stop()

bool google_bigquery_api::TrainingOptions::has_early_stop ( ) const

inline

Determine if the 'earlyStop' attribute was set.

Returns: true if the 'earlyStop' attribute was set.

◆ has_initial_learn_rate()

bool google_bigquery_api::TrainingOptions::has_initial_learn_rate ( ) const

inline

Determine if the 'initialLearnRate' attribute was set.

Returns: true if the 'initialLearnRate' attribute was set.

◆ has_input_label_columns()

bool google_bigquery_api::TrainingOptions::has_input_label_columns ( ) const

inline

Determine if the 'inputLabelColumns' attribute was set.

Returns: true if the 'inputLabelColumns' attribute was set.

◆ has_kmeans_initialization_column()

bool google_bigquery_api::TrainingOptions::has_kmeans_initialization_column ( ) const

inline

Determine if the 'kmeansInitializationColumn' attribute was set.

Returns: true if the 'kmeansInitializationColumn' attribute was set.

◆ has_kmeans_initialization_method()

bool google_bigquery_api::TrainingOptions::has_kmeans_initialization_method ( ) const

inline

Determine if the 'kmeansInitializationMethod' attribute was set.

Returns: true if the 'kmeansInitializationMethod' attribute was set.

◆ has_l1_regularization()

bool google_bigquery_api::TrainingOptions::has_l1_regularization ( ) const

inline

Determine if the 'l1Regularization' attribute was set.

Returns: true if the 'l1Regularization' attribute was set.

◆ has_l2_regularization()

bool google_bigquery_api::TrainingOptions::has_l2_regularization ( ) const

inline

Determine if the 'l2Regularization' attribute was set.

Returns: true if the 'l2Regularization' attribute was set.

◆ has_label_class_weights()

bool google_bigquery_api::TrainingOptions::has_label_class_weights ( ) const

inline

Determine if the 'labelClassWeights' attribute was set.

Returns: true if the 'labelClassWeights' attribute was set.

◆ has_learn_rate()

bool google_bigquery_api::TrainingOptions::has_learn_rate ( ) const

inline

Determine if the 'learnRate' attribute was set.

Returns: true if the 'learnRate' attribute was set.

◆ has_learn_rate_strategy()

bool google_bigquery_api::TrainingOptions::has_learn_rate_strategy ( ) const

inline

Determine if the 'learnRateStrategy' attribute was set.

Returns: true if the 'learnRateStrategy' attribute was set.

◆ has_loss_type()

bool google_bigquery_api::TrainingOptions::has_loss_type ( ) const

inline

Determine if the 'lossType' attribute was set.

Returns: true if the 'lossType' attribute was set.

◆ has_max_iterations()

bool google_bigquery_api::TrainingOptions::has_max_iterations ( ) const

inline

Determine if the 'maxIterations' attribute was set.

Returns: true if the 'maxIterations' attribute was set.

◆ has_min_relative_progress()

bool google_bigquery_api::TrainingOptions::has_min_relative_progress ( ) const

inline

Determine if the 'minRelativeProgress' attribute was set.

Returns: true if the 'minRelativeProgress' attribute was set.

◆ has_model_uri()

bool google_bigquery_api::TrainingOptions::has_model_uri ( ) const

inline

Determine if the 'modelUri' attribute was set.

Returns: true if the 'modelUri' attribute was set.

◆ has_num_clusters()

bool google_bigquery_api::TrainingOptions::has_num_clusters ( ) const

inline

Determine if the 'numClusters' attribute was set.

Returns: true if the 'numClusters' attribute was set.

◆ has_optimization_strategy()

bool google_bigquery_api::TrainingOptions::has_optimization_strategy ( ) const

inline

Determine if the 'optimizationStrategy' attribute was set.

Returns: true if the 'optimizationStrategy' attribute was set.

◆ has_warm_start()

bool google_bigquery_api::TrainingOptions::has_warm_start ( ) const

inline

Determine if the 'warmStart' attribute was set.

Returns: true if the 'warmStart' attribute was set.

◆ mutable_inputLabelColumns()

client::JsonCppArray<string > google_bigquery_api::TrainingOptions::mutable_inputLabelColumns ( )

inline

Gets a reference to a mutable value of the 'inputLabelColumns' property.

Name of input label columns in training data.

Returns: The result can be modified to change the attribute value.

◆ mutable_labelClassWeights()

client::JsonCppAssociativeArray<double > google_bigquery_api::TrainingOptions::mutable_labelClassWeights ( )

inline

Gets a reference to a mutable value of the 'labelClassWeights' property.

Weights associated with each label class, for rebalancing the training data. Only applicable for classification models.

Returns: The result can be modified to change the attribute value.

◆ New()

TrainingOptions * google_bigquery_api::TrainingOptions::New ( )

static

Creates a new default instance.

Returns: Ownership is passed back to the caller.

◆ set_data_split_column()

void google_bigquery_api::TrainingOptions::set_data_split_column ( const StringPiece & value )

inline

Change the 'dataSplitColumn' attribute.

The column to split data with. This column won't be used as a feature.

When data_split_method is CUSTOM, the corresponding column should be boolean. The rows with true value tag are eval data, and the false are training data.
When data_split_method is SEQ, the first DATA_SPLIT_EVAL_FRACTION rows (from smallest to largest) in the corresponding column are used as training data, and the rest are eval data. It respects the order in Orderable data types: https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types #data-type-properties.

Parameters

[in] value The new value.

◆ set_data_split_eval_fraction()

void google_bigquery_api::TrainingOptions::set_data_split_eval_fraction ( double value )

inline

Change the 'dataSplitEvalFraction' attribute.

The fraction of evaluation data over the whole input data. The rest of data will be used as training data. The format should be double. Accurate to two decimal places. Default value is 0.2.

Parameters

[in] value The new value.

◆ set_data_split_method()

void google_bigquery_api::TrainingOptions::set_data_split_method ( const StringPiece & value )

inline

Change the 'dataSplitMethod' attribute.

The data split type for training and evaluation, e.g. RANDOM.

Parameters

[in] value The new value.

◆ set_distance_type()

void google_bigquery_api::TrainingOptions::set_distance_type ( const StringPiece & value )

inline

Change the 'distanceType' attribute.

Distance type for clustering models.

Parameters

[in] value The new value.

◆ set_early_stop()

void google_bigquery_api::TrainingOptions::set_early_stop ( bool value )

inline

Change the 'earlyStop' attribute.

Whether to stop early when the loss doesn't improve significantly any more (compared to min_relative_progress). Used only for iterative training algorithms.

Parameters

[in] value The new value.

◆ set_initial_learn_rate()

void google_bigquery_api::TrainingOptions::set_initial_learn_rate ( double value )

inline

Change the 'initialLearnRate' attribute.

Specifies the initial learning rate for the line search learn rate strategy.

Parameters

[in] value The new value.

◆ set_kmeans_initialization_column()

void google_bigquery_api::TrainingOptions::set_kmeans_initialization_column ( const StringPiece & value )

inline

Change the 'kmeansInitializationColumn' attribute.

The column used to provide the initial centroids for kmeans algorithm when kmeans_initialization_method is CUSTOM.

Parameters

[in] value The new value.

◆ set_kmeans_initialization_method()

void google_bigquery_api::TrainingOptions::set_kmeans_initialization_method ( const StringPiece & value )

inline

Change the 'kmeansInitializationMethod' attribute.

The method used to initialize the centroids for kmeans algorithm.

Parameters

[in] value The new value.

◆ set_l1_regularization()

void google_bigquery_api::TrainingOptions::set_l1_regularization ( double value )

inline

Change the 'l1Regularization' attribute.

L1 regularization coefficient.

Parameters

[in] value The new value.

◆ set_l2_regularization()

void google_bigquery_api::TrainingOptions::set_l2_regularization ( double value )

inline

Change the 'l2Regularization' attribute.

L2 regularization coefficient.

Parameters

[in] value The new value.

◆ set_learn_rate()

void google_bigquery_api::TrainingOptions::set_learn_rate ( double value )

inline

Change the 'learnRate' attribute.

Learning rate in training. Used only for iterative training algorithms.

Parameters

[in] value The new value.

◆ set_learn_rate_strategy()

void google_bigquery_api::TrainingOptions::set_learn_rate_strategy ( const StringPiece & value )

inline

Change the 'learnRateStrategy' attribute.

The strategy to determine learn rate for the current iteration.

Parameters

[in] value The new value.

◆ set_loss_type()

void google_bigquery_api::TrainingOptions::set_loss_type ( const StringPiece & value )

inline

Change the 'lossType' attribute.

Type of loss function used during training run.

Parameters

[in] value The new value.

◆ set_max_iterations()

void google_bigquery_api::TrainingOptions::set_max_iterations ( int64 value )

inline

Change the 'maxIterations' attribute.

The maximum number of iterations in training. Used only for iterative training algorithms.

Parameters

[in] value The new value.

◆ set_min_relative_progress()

void google_bigquery_api::TrainingOptions::set_min_relative_progress ( double value )

inline

Change the 'minRelativeProgress' attribute.

When early_stop is true, stops training when accuracy improvement is less than 'min_relative_progress'. Used only for iterative training algorithms.

Parameters

[in] value The new value.

◆ set_model_uri()

void google_bigquery_api::TrainingOptions::set_model_uri ( const StringPiece & value )

inline

Change the 'modelUri' attribute.

[Beta] Google Cloud Storage URI from which the model was imported. Only applicable for imported models.

Parameters

[in] value The new value.

◆ set_num_clusters()

void google_bigquery_api::TrainingOptions::set_num_clusters ( int64 value )

inline

Change the 'numClusters' attribute.

Number of clusters for clustering models.

Parameters

[in] value The new value.

◆ set_optimization_strategy()

void google_bigquery_api::TrainingOptions::set_optimization_strategy ( const StringPiece & value )

inline

Change the 'optimizationStrategy' attribute.

Optimization strategy for training linear regression models.

Parameters

[in] value The new value.

◆ set_warm_start()

void google_bigquery_api::TrainingOptions::set_warm_start ( bool value )

inline

Change the 'warmStart' attribute.

Whether to train a model from the last checkpoint.

Parameters

[in] value The new value.

The documentation for this class was generated from the following files:

google/bigquery_api/training_options.h
google/bigquery_api/training_options.cc

Public Member Functions

Static Public Member Functions

Detailed Description

Constructor & Destructor Documentation

◆ TrainingOptions() [1/2]

◆ TrainingOptions() [2/2]

◆ ~TrainingOptions()

Member Function Documentation

◆ clear_data_split_column()

◆ clear_data_split_eval_fraction()

◆ clear_data_split_method()

◆ clear_distance_type()

◆ clear_early_stop()

◆ clear_initial_learn_rate()

◆ clear_input_label_columns()

◆ clear_kmeans_initialization_column()

◆ clear_kmeans_initialization_method()

◆ clear_l1_regularization()

◆ clear_l2_regularization()

◆ clear_label_class_weights()

◆ clear_learn_rate()

◆ clear_learn_rate_strategy()

◆ clear_loss_type()

◆ clear_max_iterations()

◆ clear_min_relative_progress()

◆ clear_model_uri()

◆ clear_num_clusters()

◆ clear_optimization_strategy()

◆ clear_warm_start()

◆ get_data_split_column()

◆ get_data_split_eval_fraction()

◆ get_data_split_method()

◆ get_distance_type()

◆ get_early_stop()

◆ get_initial_learn_rate()

◆ get_input_label_columns()

◆ get_kmeans_initialization_column()

◆ get_kmeans_initialization_method()

◆ get_l1_regularization()

◆ get_l2_regularization()

◆ get_label_class_weights()

◆ get_learn_rate()

◆ get_learn_rate_strategy()

◆ get_loss_type()

◆ get_max_iterations()

◆ get_min_relative_progress()

◆ get_model_uri()

◆ get_num_clusters()

◆ get_optimization_strategy()

◆ get_warm_start()

◆ GetTypeName()

◆ has_data_split_column()

◆ has_data_split_eval_fraction()

◆ has_data_split_method()

◆ has_distance_type()

◆ has_early_stop()

◆ has_initial_learn_rate()

◆ has_input_label_columns()

◆ has_kmeans_initialization_column()

◆ has_kmeans_initialization_method()

◆ has_l1_regularization()

◆ has_l2_regularization()

◆ has_label_class_weights()

◆ has_learn_rate()

◆ has_learn_rate_strategy()

◆ has_loss_type()

◆ has_max_iterations()

◆ has_min_relative_progress()

◆ has_model_uri()

◆ has_num_clusters()

◆ has_optimization_strategy()

◆ has_warm_start()

◆ mutable_inputLabelColumns()

◆ mutable_labelClassWeights()

◆ New()

◆ set_data_split_column()

◆ set_data_split_eval_fraction()

◆ set_data_split_method()

◆ set_distance_type()

◆ set_early_stop()