hex.schemas

Class GBMV3.GBMParametersV3

java.lang.Object

water.Iced

water.api.Schema<I,S>

water.api.schemas3.SchemaV3<P,S>

water.api.schemas3.ModelParametersSchemaV3<P,S>

hex.schemas.SharedTreeV3.SharedTreeParametersV3<GBMModel.GBMParameters,GBMV3.GBMParametersV3>

hex.schemas.GBMV3.GBMParametersV3

All Implemented Interfaces:

java.io.Externalizable, java.io.Serializable, java.lang.Cloneable, water.Freezable

Enclosing class:

GBMV3

public static final class GBMV3.GBMParametersV3
extends SharedTreeV3.SharedTreeParametersV3<GBMModel.GBMParameters,GBMV3.GBMParametersV3>

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class water.api.schemas3.SchemaV3

water.api.schemas3.SchemaV3.Meta

Field Summary

Fields

Modifier and Type	Field and Description
double	col_sample_rate
static java.lang.String[]	fields
double	learn_rate
double	learn_rate_annealing
double	max_abs_leafnode_pred
double	pred_noise_bandwidth

Fields inherited from class hex.schemas.SharedTreeV3.SharedTreeParametersV3

balance_classes, build_tree_one_node, calibrate_model, calibration_frame, 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.api.schemas3.ModelParametersSchemaV3

categorical_encoding, checkpoint, distribution, fold_assignment, fold_column, huber_alpha, ignore_const_cols, ignored_columns, keep_cross_validation_fold_assignment, keep_cross_validation_predictions, max_categorical_levels, max_runtime_secs, model_id, nfolds, offset_column, parallelize_cross_validation, quantile_alpha, response_column, score_each_iteration, stopping_metric, stopping_rounds, stopping_tolerance, training_frame, tweedie_power, validation_frame, weights_column

Fields inherited from class water.api.schemas3.SchemaV3

__meta

Constructor Summary

Constructors

Constructor and Description
GBMV3.GBMParametersV3()

Method Summary

Methods inherited from class water.api.schemas3.ModelParametersSchemaV3

append_field_arrays, fields, fillFromImpl, fillImpl, writeParametersJSON

Methods inherited from class water.api.schemas3.SchemaV3

writeJSON

Methods inherited from class water.api.Schema

createAndFillImpl, createImpl, extractVersionFromSchemaName, fillFromImpl, fillFromImpl, fillFromParms, fillFromParms, fillImpl, getImplClass, getImplClass, getSchemaName, getSchemaType, getSchemaVersion, init_meta, markdown, markdown, newInstance, newInstance, setField, setSchemaType_doNotCall

Methods inherited from class water.Iced

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

Methods inherited from class java.lang.Object

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

Field Detail

fields

public static java.lang.String[] fields

learn_rate

@API(help="Learning rate (from 0.0 to 1.0)",
     gridable=true)
public double learn_rate

learn_rate_annealing

@API(help="Scale the learning rate by this factor after each tree (e.g., 0.99 or 0.999) ",
     level=secondary,
     gridable=true)
public double learn_rate_annealing

col_sample_rate

@API(help="Column sample rate (from 0.0 to 1.0)",
     level=critical,
     gridable=true)
public double col_sample_rate

max_abs_leafnode_pred

@API(help="Maximum absolute value of a leaf node prediction",
     level=expert,
     gridable=true)
public double max_abs_leafnode_pred

pred_noise_bandwidth

@API(help="Bandwidth (sigma) of Gaussian multiplicative noise ~N(1,sigma) for tree node predictions",
     level=expert,
     gridable=true)
public double pred_noise_bandwidth

Constructor Detail

GBMV3.GBMParametersV3

public GBMV3.GBMParametersV3()