water.bindings.pojos

Class NaiveBayesParametersV3

java.lang.Object

water.bindings.pojos.SchemaV3

water.bindings.pojos.ModelParametersSchemaV3

water.bindings.pojos.NaiveBayesParametersV3

public class NaiveBayesParametersV3
extends ModelParametersSchemaV3

Field Summary

Fields

Modifier and Type	Field and Description
boolean	balanceClasses Balance training data class counts via over/under-sampling (for imbalanced data).
float[]	classSamplingFactors Desired over/under-sampling ratios per class (in lexicographic order).
boolean	computeMetrics Compute metrics on training data
double	epsProb Cutoff below which probability is replaced with min_prob
double	epsSdev Cutoff below which standard deviation is replaced with min_sdev
double	laplace Laplace smoothing parameter
float	maxAfterBalanceSize Maximum relative size of the training data after balancing class counts (can be less than 1.0).
int	maxConfusionMatrixSize [Deprecated] Maximum size (# classes) for confusion matrices to be printed in the Logs
double	minProb Min.
double	minSdev Min.
long	seed Seed for pseudo random number generator (only used for cross-validation and fold_assignment="Random" or "AUTO")

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
NaiveBayesParametersV3() 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

balanceClasses

@SerializedName(value="balance_classes")
public boolean balanceClasses

Balance training data class counts via over/under-sampling (for imbalanced data).

classSamplingFactors

@SerializedName(value="class_sampling_factors")
public float[] classSamplingFactors

Desired over/under-sampling ratios per class (in lexicographic order). If not specified, sampling factors will be automatically computed to obtain class balance during training. Requires balance_classes.

maxAfterBalanceSize

@SerializedName(value="max_after_balance_size")
public float maxAfterBalanceSize

Maximum relative size of the training data after balancing class counts (can be less than 1.0). Requires balance_classes.

maxConfusionMatrixSize

@SerializedName(value="max_confusion_matrix_size")
public int maxConfusionMatrixSize

[Deprecated] Maximum size (# classes) for confusion matrices to be printed in the Logs

laplace

public double laplace

Laplace smoothing parameter

minSdev

@SerializedName(value="min_sdev")
public double minSdev

Min. standard deviation to use for observations with not enough data

epsSdev

@SerializedName(value="eps_sdev")
public double epsSdev

Cutoff below which standard deviation is replaced with min_sdev

minProb

@SerializedName(value="min_prob")
public double minProb

Min. probability to use for observations with not enough data

epsProb

@SerializedName(value="eps_prob")
public double epsProb

Cutoff below which probability is replaced with min_prob

computeMetrics

@SerializedName(value="compute_metrics")
public boolean computeMetrics

Compute metrics on training data

seed

public long seed

Seed for pseudo random number generator (only used for cross-validation and fold_assignment="Random" or "AUTO")

Constructor Detail

NaiveBayesParametersV3

public NaiveBayesParametersV3()

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