hex.schemas

Class AdaBoostV3.AdaBoostParametersV3

java.lang.Object

water.Iced

water.api.Schema<I,S>

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

water.api.schemas3.ModelParametersSchemaV3<AdaBoostModel.AdaBoostParameters,AdaBoostV3.AdaBoostParametersV3>

hex.schemas.AdaBoostV3.AdaBoostParametersV3

All Implemented Interfaces:

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

Enclosing class:

AdaBoostV3

public static final class AdaBoostV3.AdaBoostParametersV3
extends water.api.schemas3.ModelParametersSchemaV3<AdaBoostModel.AdaBoostParameters,AdaBoostV3.AdaBoostParametersV3>

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
static java.lang.String[]	fields
double	learn_rate
int	nlearners
long	seed
AdaBoostModel.Algorithm	weak_learner
java.lang.String	weak_learner_params

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
AdaBoostParametersV3()

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

nlearners

@API(help="Number of AdaBoost weak learners.",
     gridable=true)
public int nlearners

weak_learner

@API(help="Choose a weak learner type. Defaults to AUTO, which means DRF.",
     gridable=true,
     values={"AUTO","DRF","GLM","GBM","DEEP_LEARNING"})
public AdaBoostModel.Algorithm weak_learner

learn_rate

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

weak_learner_params

@API(help="Customized parameters for the weak_learner algorithm.",
     gridable=true)
public java.lang.String weak_learner_params

seed

@API(help="Seed for pseudo random number generator (if applicable)",
     gridable=true)
public long seed

Constructor Detail

AdaBoostParametersV3

public AdaBoostParametersV3()