hex.modelselection

Class ModelSelectionModel.ModelSelectionParameters

java.lang.Object

water.Iced<hex.Model.Parameters>

hex.Model.Parameters

hex.modelselection.ModelSelectionModel.ModelSelectionParameters

All Implemented Interfaces:

hex.Model.AdaptFrameParameters, java.io.Externalizable, java.io.Serializable, java.lang.Cloneable, water.Freezable<hex.Model.Parameters>

Enclosing class:

ModelSelectionModel

public static class ModelSelectionModel.ModelSelectionParameters
extends hex.Model.Parameters

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	ModelSelectionModel.ModelSelectionParameters.Mode

Nested classes/interfaces inherited from class hex.Model.Parameters

hex.Model.Parameters.CategoricalEncodingScheme, hex.Model.Parameters.FoldAssignmentScheme

Field Summary

Fields

Modifier and Type	Field and Description
double[]	_alpha
double	_beta_epsilon
boolean	_build_glm_model
boolean	_compute_p_values
double	_gradient_epsilon
GLMModel.GLMParameters.Influence	_influence
java.lang.String[]	_interactions
boolean	_intercept
double[]	_lambda
boolean	_lambda_search
GLMModel.GLMParameters.Link	_link
int	_max_predictor_number
int	_min_predictor_number
java.io.Serializable	_missing_values_handling
ModelSelectionModel.ModelSelectionParameters.Mode	_mode
boolean	_multinode_mode
int	_nfolds
int	_nparallelism
double	_obj_reg
double	_objective_epsilon
double	_p_values_threshold
water.Key<water.fvec.Frame>	_plug_values
boolean	_remove_collinear_columns
GLMModel.GLMParameters.Solver	_solver
boolean	_standardize
double	_tweedie_link_power
double	_tweedie_variance_power
boolean	_use_all_factor_levels

Fields inherited from class hex.Model.Parameters

_auc_type, _auto_rebalance, _auuc_nbins, _auuc_type, _balance_classes, _categorical_encoding, _check_constant_response, _checkpoint, _class_sampling_factors, _custom_distribution_func, _custom_metric_func, _cv_fold, _distribution, _export_checkpoints_dir, _fold_assignment, _fold_column, _gainslift_bins, _huber_alpha, _ignore_const_cols, _ignored_columns, _is_cv_model, _keep_cross_validation_fold_assignment, _keep_cross_validation_models, _keep_cross_validation_predictions, _keep_cross_validation_predictions_precision, _main_model_time_budget_factor, _max_after_balance_size, _max_categorical_levels, _max_confusion_matrix_size, _max_runtime_secs, _offset_column, _parallelize_cross_validation, _preprocessors, _pretrained_autoencoder, _quantile_alpha, _response_column, _score_each_iteration, _seed, _stopping_metric, _stopping_rounds, _stopping_tolerance, _train, _treatment_column, _tweedie_power, _valid, _weights_column, MAX_SUPPORTED_LEVELS

Constructor Summary

Constructors

Constructor and Description
ModelSelectionParameters()

Method Summary

Modifier and Type	Method and Description
java.lang.String	algoName()
java.lang.String	fullName()
boolean	imputeMissing()
java.lang.String	javaName()
DataInfo.Imputer	makeImputer()
GLMModel.GLMParameters.MissingValuesHandling	missingValuesHandling()
long	progressUnits()

Methods inherited from class hex.Model.Parameters

checksum, checksum, defaultDropConsCols, defaultStoppingTolerance, getCategoricalEncoding, getDependentKeys, getDistributionFamily, getFoldColumn, getMaxCategoricalLevels, getNonPredictors, getOffsetColumn, getOrMakeRealSeed, getResponseColumn, getTreatmentColumn, getUsedColumns, getWeightsColumn, hasCheckpoint, hasCustomMetricFunc, missingColumnsType, read_lock_frames, read_unlock_frames, setDistributionFamily, setTrain, train, valid

Methods inherited from class water.Iced

asBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonBytes, toJsonString, write, writeExternal, writeJSON

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

_alpha

public double[] _alpha

_standardize

public boolean _standardize

_intercept

public boolean _intercept

_lambda_search

public boolean _lambda_search

_link

public GLMModel.GLMParameters.Link _link

_solver

public GLMModel.GLMParameters.Solver _solver

_interactions

public java.lang.String[] _interactions

_missing_values_handling

public java.io.Serializable _missing_values_handling

_compute_p_values

public boolean _compute_p_values

_remove_collinear_columns

public boolean _remove_collinear_columns

_nfolds

public int _nfolds

_plug_values

public water.Key<water.fvec.Frame> _plug_values

_max_predictor_number

public int _max_predictor_number

_min_predictor_number

public int _min_predictor_number

_nparallelism

public int _nparallelism

_p_values_threshold

public double _p_values_threshold

_tweedie_variance_power

public double _tweedie_variance_power

_tweedie_link_power

public double _tweedie_link_power

_mode

public ModelSelectionModel.ModelSelectionParameters.Mode _mode

_beta_epsilon

public double _beta_epsilon

_objective_epsilon

public double _objective_epsilon

_gradient_epsilon

public double _gradient_epsilon

_obj_reg

public double _obj_reg

_lambda

public double[] _lambda

_use_all_factor_levels

public boolean _use_all_factor_levels

_build_glm_model

public boolean _build_glm_model

_influence

public GLMModel.GLMParameters.Influence _influence

_multinode_mode

public boolean _multinode_mode

Constructor Detail

ModelSelectionParameters

public ModelSelectionParameters()

Method Detail

algoName

public java.lang.String algoName()

Specified by:

algoName in class hex.Model.Parameters

fullName

public java.lang.String fullName()

Specified by:

fullName in class hex.Model.Parameters

javaName

public java.lang.String javaName()

Specified by:

javaName in class hex.Model.Parameters

progressUnits

public long progressUnits()

Specified by:

progressUnits in class hex.Model.Parameters

missingValuesHandling

public GLMModel.GLMParameters.MissingValuesHandling missingValuesHandling()

imputeMissing

public boolean imputeMissing()

makeImputer

public DataInfo.Imputer makeImputer()