hex.schemas

Class RuleFitV3.RuleFitParametersV3

java.lang.Object

water.Iced

water.api.Schema<I,S>

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

water.api.schemas3.ModelParametersSchemaV3<RuleFitModel.RuleFitParameters,RuleFitV3.RuleFitParametersV3>

hex.schemas.RuleFitV3.RuleFitParametersV3

All Implemented Interfaces:

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

Enclosing class:

RuleFitV3

public static final class RuleFitV3.RuleFitParametersV3
extends water.api.schemas3.ModelParametersSchemaV3<RuleFitModel.RuleFitParameters,RuleFitV3.RuleFitParametersV3>

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
RuleFitModel.Algorithm	algorithm
static java.lang.String[]	fields
double[]	lambda
int	max_num_rules
int	max_rule_length
int	min_rule_length
RuleFitModel.ModelType	model_type
boolean	remove_duplicates
int	rule_generation_ntrees
long	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
RuleFitParametersV3()

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 final java.lang.String[] fields

seed

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

algorithm

@API(help="The algorithm to use to generate rules.",
     values={"AUTO","DRF","GBM"})
public RuleFitModel.Algorithm algorithm

min_rule_length

@API(help="Minimum length of rules. Defaults to 3.")
public int min_rule_length

max_rule_length

@API(help="Maximum length of rules. Defaults to 3.")
public int max_rule_length

max_num_rules

@API(help="The maximum number of rules to return. defaults to -1 which means the number of rules is selected \nby diminishing returns in model deviance.")
public int max_num_rules

model_type

@API(help="Specifies type of base learners in the ensemble.",
     values={"RULES_AND_LINEAR","RULES","LINEAR"})
public RuleFitModel.ModelType model_type

rule_generation_ntrees

@API(help="Specifies the number of trees to build in the tree model. Defaults to 50.")
public int rule_generation_ntrees

remove_duplicates

@API(help="Whether to remove rules which are identical to an earlier rule. Defaults to true.")
public boolean remove_duplicates

lambda

@API(help="Lambda for LASSO regressor.")
public double[] lambda

Constructor Detail

RuleFitParametersV3

public RuleFitParametersV3()