hex.tree.gbm

Class GBMModel.GBMParameters

java.lang.Object

water.Iced<hex.Model.Parameters>

hex.Model.Parameters

hex.tree.SharedTreeModel.SharedTreeParameters

hex.tree.gbm.GBMModel.GBMParameters

All Implemented Interfaces:

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

Enclosing class:

GBMModel

public static class GBMModel.GBMParameters
extends SharedTreeModel.SharedTreeParameters

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class hex.tree.SharedTreeModel.SharedTreeParameters

SharedTreeModel.SharedTreeParameters.HistogramType

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	_col_sample_rate
double	_learn_rate
double	_learn_rate_annealing
double	_max_abs_leafnode_pred
double	_pred_noise_bandwidth

Fields inherited from class hex.tree.SharedTreeModel.SharedTreeParameters

_build_tree_one_node, _calibrate_model, _calibration_frame, _col_sample_rate_change_per_level, _col_sample_rate_per_tree, _histogram_type, _initial_score_interval, _max_depth, _min_rows, _min_split_improvement, _nbins, _nbins_cats, _nbins_top_level, _ntrees, _r2_stopping, _sample_rate, _sample_rate_per_class, _score_interval, _score_tree_interval

Fields inherited from class hex.Model.Parameters

_auto_rebalance, _balance_classes, _categorical_encoding, _checkpoint, _class_sampling_factors, _distribution, _fold_assignment, _fold_column, _huber_alpha, _ignore_const_cols, _ignored_columns, _is_cv_model, _keep_cross_validation_fold_assignment, _keep_cross_validation_predictions, _max_after_balance_size, _max_categorical_levels, _max_confusion_matrix_size, _max_runtime_secs, _nfolds, _offset_column, _parallelize_cross_validation, _pretrained_autoencoder, _quantile_alpha, _response_column, _score_each_iteration, _seed, _stopping_metric, _stopping_rounds, _stopping_tolerance, _train, _tweedie_power, _valid, _weights_column, MAX_SUPPORTED_LEVELS

Constructor Summary

Constructors

Constructor and Description
GBMModel.GBMParameters()

Method Summary

Methods

Modifier and Type	Method and Description
java.lang.String	algoName()
java.lang.String	fullName()
java.lang.String	javaName()

Methods inherited from class hex.tree.SharedTreeModel.SharedTreeParameters

calib, getCheckpointNonModifiableFields, progressUnits, validateWithCheckpoint

Methods inherited from class hex.Model.Parameters

checksum_impl, checksum, defaultDropConsCols, defaultStoppingTolerance, getOrMakeRealSeed, hasCheckpoint, missingColumnsType, read_lock_frames, read_unlock_frames, 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

_learn_rate

public double _learn_rate

_learn_rate_annealing

public double _learn_rate_annealing

_col_sample_rate

public double _col_sample_rate

_max_abs_leafnode_pred

public double _max_abs_leafnode_pred

_pred_noise_bandwidth

public double _pred_noise_bandwidth

Constructor Detail

GBMModel.GBMParameters

public GBMModel.GBMParameters()

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