hex.Infogram

Class InfogramModel.InfogramParameters

java.lang.Object

water.Iced<hex.Model.Parameters>

hex.Model.Parameters

hex.Infogram.InfogramModel.InfogramParameters

All Implemented Interfaces:

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

Enclosing class:

InfogramModel

public static class InfogramModel.InfogramParameters
extends hex.Model.Parameters

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	InfogramModel.InfogramParameters.Algorithm

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
InfogramModel.InfogramParameters.Algorithm	_algorithm
java.lang.String	_algorithm_params
double	_cmi_threshold
boolean	_compute_p_values
double	_data_fraction
hex.Model.Parameters	_infogram_algorithm_parameters
double	_net_information_threshold
int	_nparallelism
java.lang.String[]	_protected_columns
double	_relevance_index_threshold
double	_relevance_threshold
double	_safety_index_threshold
int	_top_n_features
double	_total_information_threshold

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, _nfolds, _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
InfogramParameters()

Method Summary

Modifier and Type	Method and Description
java.lang.String	algoName()
void	copyInfoGramParams(java.util.List<java.lang.String> excludeList)
void	extraModelSpecificParams() This method performs the following functions: 1.
java.lang.String	fullName()
java.lang.String	javaName()
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, 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, toJsonString, write, writeExternal, writeJSON

Methods inherited from class java.lang.Object

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

Field Detail

_algorithm

public InfogramModel.InfogramParameters.Algorithm _algorithm

_algorithm_params

public java.lang.String _algorithm_params

_protected_columns

public java.lang.String[] _protected_columns

_cmi_threshold

public double _cmi_threshold

_relevance_threshold

public double _relevance_threshold

_total_information_threshold

public double _total_information_threshold

_net_information_threshold

public double _net_information_threshold

_safety_index_threshold

public double _safety_index_threshold

_relevance_index_threshold

public double _relevance_index_threshold

_data_fraction

public double _data_fraction

_infogram_algorithm_parameters

public hex.Model.Parameters _infogram_algorithm_parameters

_top_n_features

public int _top_n_features

_compute_p_values

public boolean _compute_p_values

_nparallelism

public int _nparallelism

Constructor Detail

InfogramParameters

public InfogramParameters()

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

extraModelSpecificParams

public void extraModelSpecificParams()

This method performs the following functions: 1. it will extract the algorithm specific parameters from _info_algorithm_params to infogram_algorithm_parameters which will be one of GBMParameters, DRFParameters, DeepLearningParameters or GLMParameters. This will be used to build models and extract the infogram. 2. Next, it will copy the parameters that are common to all algorithms from InfogramParameters to _algorithm_parameters.

copyInfoGramParams

public void copyInfoGramParams(java.util.List<java.lang.String> excludeList)