water.bindings.pojos

Class UpliftDRFParametersV3

java.lang.Object

water.bindings.pojos.SchemaV3

water.bindings.pojos.ModelParametersSchemaV3

water.bindings.pojos.SharedTreeParametersV3

water.bindings.pojos.UpliftDRFParametersV3

public class UpliftDRFParametersV3
extends SharedTreeParametersV3

Field Summary

Fields

Modifier and Type	Field and Description
int	auucNbins Number of bins to calculate Area Under Uplift Curve.
AUUCType	auucType Metric used to calculate Area Under Uplift Curve.
int	mtries Number of variables randomly sampled as candidates at each split.
double	sampleRate Row sample rate per tree (from 0.0 to 1.0)
java.lang.String	treatmentColumn Define the column which will be used for computing uplift gain to select best split for a tree.
TreeupliftUpliftDRFModelUpliftDRFParametersUpliftMetricType	upliftMetric Divergence metric used to find best split when building an uplift tree.

Fields inherited from class water.bindings.pojos.SharedTreeParametersV3

balanceClasses, buildTreeOneNode, calibrateModel, calibrationFrame, calibrationMethod, checkConstantResponse, classSamplingFactors, colSampleRateChangePerLevel, colSampleRatePerTree, histogramType, inTrainingCheckpointsDir, inTrainingCheckpointsTreeInterval, maxAfterBalanceSize, maxConfusionMatrixSize, maxDepth, minRows, minSplitImprovement, nbins, nbinsCats, nbinsTopLevel, ntrees, r2Stopping, sampleRatePerClass, scoreTreeInterval, seed

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
UpliftDRFParametersV3() 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

mtries

public int mtries

Number of variables randomly sampled as candidates at each split. If set to -1, defaults to sqrt{p} for classification and p/3 for regression (where p is the # of predictors

sampleRate

@SerializedName(value="sample_rate")
public double sampleRate

Row sample rate per tree (from 0.0 to 1.0)

treatmentColumn

@SerializedName(value="treatment_column")
public java.lang.String treatmentColumn

Define the column which will be used for computing uplift gain to select best split for a tree. The column has to divide the dataset into treatment (value 1) and control (value 0) groups.

upliftMetric

@SerializedName(value="uplift_metric")
public TreeupliftUpliftDRFModelUpliftDRFParametersUpliftMetricType upliftMetric

Divergence metric used to find best split when building an uplift tree.

auucType

@SerializedName(value="auuc_type")
public AUUCType auucType

Metric used to calculate Area Under Uplift Curve.

auucNbins

@SerializedName(value="auuc_nbins")
public int auucNbins

Number of bins to calculate Area Under Uplift Curve.

Constructor Detail

UpliftDRFParametersV3

public UpliftDRFParametersV3()

Public constructor

Method Detail

toString

public java.lang.String toString()

Return the contents of this object as a JSON String.

Overrides:

toString in class SharedTreeParametersV3