public static class NaiveBayesModel.NaiveBayesOutput
extends hex.Model.Output
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 |
_column_types, _cross_validation_fold_assignment_frame_id, _cross_validation_holdout_predictions_frame_id, _cross_validation_metrics, _cross_validation_metrics_summary, _cross_validation_models, _cross_validation_predictions, _cv_scoring_history, _defaultThreshold, _distribution, _domains, _end_time, _hasFold, _hasOffset, _hasTreatment, _hasWeights, _isSupervised, _job, _model_summary, _modelClassDist, _names, _orig_projection_array, _origDomains, _origNames, _priorClassDist, _reproducibility_information_table, _run_time, _scoring_history, _start_time, _total_run_time, _training_metrics, _validation_metrics
Constructor and Description |
---|
NaiveBayesOutput(NaiveBayes b) |
changeModelMetricsKey, checksum_impl, classNames, clearModelMetrics, createInputFramesInformationTable, defaultThreshold, features, foldIdx, foldName, getInformationTableNumRows, getModelCategory, getModelMetrics, getVariableImportances, hasFold, hasOffset, hasResponse, hasTreatment, hasWeights, interactionBuilder, isAutoencoder, isBinomialClassifier, isClassifier, isMultinomialClassifier, isSupervised, lastSpecialColumnIdx, nclasses, nfeatures, offsetIdx, offsetName, printTwoDimTables, resetThreshold, responseIdx, responseName, setNames, setNames, startClock, stopClock, toString, treatmentIdx, treatmentName, weightsIdx, weightsName
public water.util.TwoDimTable _apriori
public double[] _apriori_raw
public water.util.TwoDimTable[] _pcond
public double[][][] _pcond_raw
public int[] _rescnt
public java.lang.String[] _levels
public int _ncats
public NaiveBayesOutput(NaiveBayes b)