public class KMeansMojoModel extends MojoModel
_balanceClasses, _category, _defaultThreshold, _modelClassDistrib, _nclasses, _nfeatures, _priorClassDistrib, _supervised, _uuid
_domains, _names, _offsetColumn
Modifier and Type | Method and Description |
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double[] |
score0(double[] row,
double[] preds)
Subclasses implement the scoring logic.
|
getModelCategory, getUUID, isSupervised, load, load, nclasses, nfeatures
bitSetContains, bitSetIsInRange, calibrateClassProbabilities, correctProbabilities, createAuxKey, GBM_rescale, getColIdx, getDomainValues, getDomainValues, getDomainValues, getHeader, getModelCategories, getNames, getNumClasses, getNumCols, getNumResponseClasses, getPrediction, getPredsSize, getPredsSize, getResponseIdx, getResponseName, GLM_identityInv, GLM_inverseInv, GLM_logInv, GLM_logitInv, GLM_tweedieInv, img2pixels, isAutoEncoder, isClassifier, KMeans_closest, KMeans_distance, KMeans_distance, Kmeans_preprocessData, Kmeans_preprocessData, KMeans_simplex, log_rescale, mapEnum, score0, setInput
public double[] score0(double[] row, double[] preds)
GenModel