hex.naivebayes

Class NaiveBayesModel.NaiveBayesOutput

java.lang.Object

water.Iced

hex.Model.Output

hex.naivebayes.NaiveBayesModel.NaiveBayesOutput

All Implemented Interfaces:

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

Enclosing class:

NaiveBayesModel

public static class NaiveBayesModel.NaiveBayesOutput
extends hex.Model.Output

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
water.util.TwoDimTable	_apriori
double[]	_apriori_raw
java.lang.String[]	_levels
int	_ncats
water.util.TwoDimTable[]	_pcond
double[][][]	_pcond_raw
int[]	_rescnt

Fields inherited from class hex.Model.Output

_cross_validation_metrics, _distribution, _domains, _hasFold, _hasOffset, _hasWeights, _isSupervised, _model_metrics, _model_summary, _modelClassDist, _names, _priorClassDist, _scoring_history, _state, _training_metrics, _validation_metrics

Constructor Summary

Constructors

Constructor and Description
NaiveBayesModel.NaiveBayesOutput(NaiveBayes b)

Method Summary

Methods inherited from class hex.Model.Output

addModelMetrics, classNames, foldIdx, foldName, getModelCategory, hasFold, hasOffset, hasWeights, isClassifier, isSupervised, nclasses, nfeatures, offsetIdx, offsetName, responseIdx, responseName, toString, weightsIdx, weightsName

Methods inherited from class water.Iced

clone, frozenType, read_impl, read, readExternal, readJSON_impl, readJSON, toJsonString, write_impl, write, writeExternal, writeHTML_impl, writeHTML, writeJSON_impl, writeJSON

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Detail

_apriori

public water.util.TwoDimTable _apriori

_apriori_raw

public double[] _apriori_raw

_pcond

public water.util.TwoDimTable[] _pcond

_pcond_raw

public double[][][] _pcond_raw

_rescnt

public int[] _rescnt

_levels

public java.lang.String[] _levels

_ncats

public int _ncats

Constructor Detail

NaiveBayesModel.NaiveBayesOutput

public NaiveBayesModel.NaiveBayesOutput(NaiveBayes b)