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

Nested classes/interfaces inherited from class water.api.Schema

water.api.Schema.AutoParseable

Field Summary

Fields

Modifier and Type	Field and Description
boolean	auto_rebalance
double	col_sample_rate
static java.lang.String[]	fields
java.lang.String[][]	interaction_constraints
double	learn_rate
double	learn_rate_annealing
double	max_abs_leafnode_pred
water.api.schemas3.KeyValueV3[]	monotone_constraints
double	pred_noise_bandwidth
double	sample_rate

Fields inherited from class hex.schemas.SharedTreeV3.SharedTreeParametersV3

balance_classes, build_tree_one_node, calibrate_model, calibration_frame, calibration_method, check_constant_response, class_sampling_factors, col_sample_rate_change_per_level, col_sample_rate_per_tree, histogram_type, in_training_checkpoints_dir, in_training_checkpoints_tree_interval, max_after_balance_size, max_confusion_matrix_size, max_depth, min_rows, min_split_improvement, nbins, nbins_cats, nbins_top_level, ntrees, r2_stopping, sample_rate_per_class, score_tree_interval, seed

Fields inherited from class water.api.schemas3.ModelParametersSchemaV3

auc_type, categorical_encoding, checkpoint, custom_distribution_func, custom_metric_func, distribution, export_checkpoints_dir, fold_assignment, fold_column, gainslift_bins, huber_alpha, ignore_const_cols, ignored_columns, keep_cross_validation_fold_assignment, keep_cross_validation_models, 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
GBMParametersV3()

Method Summary

Methods inherited from class water.api.schemas3.ModelParametersSchemaV3

append_field_arrays, extractDeclaredApiParameters, fields, fillFromImpl, fillImpl, getAdditionalParameters, writeParametersJSON

Methods inherited from class water.api.schemas3.SchemaV3

writeJSON

Methods inherited from class water.api.Schema

createAndFillImpl, createImpl, extractVersionFromSchemaName, fillFromAny, fillFromBody, fillFromImpl, fillFromImpl, fillFromParms, 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, toJsonBytes, 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

sample_rate

@API(help="Row sample rate per tree (from 0.0 to 1.0)",
     gridable=true)
public double sample_rate

col_sample_rate

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

monotone_constraints

@API(help="A mapping representing monotonic constraints. Use +1 to enforce an increasing constraint and -1 to specify a decreasing constraint.",
     level=secondary)
public water.api.schemas3.KeyValueV3[] monotone_constraints

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

interaction_constraints

@API(help="A set of allowed column interactions.",
     level=expert)
public java.lang.String[][] interaction_constraints

auto_rebalance

@API(help="Allow automatic rebalancing of training and validation datasets",
     level=expert)
public boolean auto_rebalance

Constructor Detail

GBMParametersV3

public GBMParametersV3()