water.bindings.pojos

Class RuleFitParametersV3

java.lang.Object

water.bindings.pojos.SchemaV3

water.bindings.pojos.ModelParametersSchemaV3

water.bindings.pojos.RuleFitParametersV3

public class RuleFitParametersV3
extends ModelParametersSchemaV3

Field Summary

Fields

Modifier and Type	Field and Description
RuleFitModelAlgorithm	algorithm The algorithm to use to generate rules.
double[]	lambda Lambda for LASSO regressor.
int	maxNumRules The maximum number of rules to return.
int	maxRuleLength Maximum length of rules.
int	minRuleLength Minimum length of rules.
RuleFitModelModelType	modelType Specifies type of base learners in the ensemble.
boolean	removeDuplicates Whether to remove rules which are identical to an earlier rule.
int	ruleGenerationNtrees Specifies the number of trees to build in the tree model.
long	seed Seed for pseudo random number generator (if applicable).

Fields inherited from class water.bindings.pojos.ModelParametersSchemaV3

aucType, categoricalEncoding, checkpoint, customDistributionFunc, customMetricFunc, distribution, exportCheckpointsDir, foldAssignment, foldColumn, gainsliftBins, huberAlpha, ignoreConstCols, ignoredColumns, keepCrossValidationFoldAssignment, keepCrossValidationModels, keepCrossValidationPredictions, maxCategoricalLevels, maxRuntimeSecs, modelId, nfolds, offsetColumn, parallelizeCrossValidation, quantileAlpha, responseColumn, scoreEachIteration, stoppingMetric, stoppingRounds, stoppingTolerance, trainingFrame, tweediePower, validationFrame, weightsColumn

Constructor Summary

Constructors

Constructor and Description
RuleFitParametersV3() Public constructor

Method Summary

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

seed

public long seed

Seed for pseudo random number generator (if applicable).

algorithm

public RuleFitModelAlgorithm algorithm

The algorithm to use to generate rules.

minRuleLength

@SerializedName(value="min_rule_length")
public int minRuleLength

Minimum length of rules. Defaults to 3.

maxRuleLength

@SerializedName(value="max_rule_length")
public int maxRuleLength

Maximum length of rules. Defaults to 3.

maxNumRules

@SerializedName(value="max_num_rules")
public int maxNumRules

The maximum number of rules to return. defaults to -1 which means the number of rules is selected by diminishing returns in model deviance.

modelType

@SerializedName(value="model_type")
public RuleFitModelModelType modelType

Specifies type of base learners in the ensemble.

ruleGenerationNtrees

@SerializedName(value="rule_generation_ntrees")
public int ruleGenerationNtrees

Specifies the number of trees to build in the tree model. Defaults to 50.

removeDuplicates

@SerializedName(value="remove_duplicates")
public boolean removeDuplicates

Whether to remove rules which are identical to an earlier rule. Defaults to true.

lambda

public double[] lambda

Lambda for LASSO regressor.

Constructor Detail

RuleFitParametersV3

public RuleFitParametersV3()

Public constructor

Method Detail

toString

public java.lang.String toString()

Return the contents of this object as a JSON String.

Overrides:

toString in class ModelParametersSchemaV3