water.bindings.pojos

Class GBMParametersV3

java.lang.Object

water.bindings.pojos.Schema

water.bindings.pojos.ModelParametersSchema

water.bindings.pojos.SharedTreeParametersV3

water.bindings.pojos.GBMParametersV3

public class GBMParametersV3
extends SharedTreeParametersV3

Field Summary

Fields

Modifier and Type	Field and Description
double	col_sample_rate Column sample rate (from 0.0 to 1.0)
DistributionFamily	distribution Distribution function
double	learn_rate Learning rate (from 0.0 to 1.0)
double	learn_rate_annealing Scale the learning rate by this factor after each tree (e.g., 0.99 or 0.999)
double	max_abs_leafnode_pred Maximum absolute value of a leaf node prediction
double	quantile_alpha Desired quantile for quantile regression (from 0.0 to 1.0)
double	tweedie_power Tweedie Power (between 1 and 2)

Fields inherited from class water.bindings.pojos.SharedTreeParametersV3

balance_classes, build_tree_one_node, class_sampling_factors, col_sample_rate_change_per_level, col_sample_rate_per_tree, histogram_type, max_after_balance_size, max_confusion_matrix_size, max_depth, max_hit_ratio_k, min_rows, min_split_improvement, nbins, nbins_cats, nbins_top_level, ntrees, r2_stopping, sample_rate, sample_rate_per_class, score_tree_interval, seed

Fields inherited from class water.bindings.pojos.ModelParametersSchema

checkpoint, fold_assignment, fold_column, ignore_const_cols, ignored_columns, keep_cross_validation_fold_assignment, keep_cross_validation_predictions, max_runtime_secs, model_id, nfolds, offset_column, parallelize_cross_validation, response_column, score_each_iteration, stopping_metric, stopping_rounds, stopping_tolerance, training_frame, validation_frame, weights_column

Constructor Summary

Constructors

Constructor and Description
GBMParametersV3()

Method Summary

Methods

Modifier and Type	Method and Description
java.lang.String	toString() Return the contents of this object as a JSON String.

Methods inherited from class java.lang.Object

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

Field Detail

learn_rate

public double learn_rate

Learning rate (from 0.0 to 1.0)

learn_rate_annealing

public double learn_rate_annealing

Scale the learning rate by this factor after each tree (e.g., 0.99 or 0.999)

distribution

public DistributionFamily distribution

Distribution function

quantile_alpha

public double quantile_alpha

Desired quantile for quantile regression (from 0.0 to 1.0)

tweedie_power

public double tweedie_power

Tweedie Power (between 1 and 2)

col_sample_rate

public double col_sample_rate

Column sample rate (from 0.0 to 1.0)

max_abs_leafnode_pred

public double max_abs_leafnode_pred

Maximum absolute value of a leaf node prediction

Constructor Detail

GBMParametersV3

public GBMParametersV3()

Method Detail

toString

public java.lang.String toString()

Return the contents of this object as a JSON String.

Overrides:

toString in class SharedTreeParametersV3