public class IsotonicRegressionMojoModel extends MojoModel
Modifier and Type | Field and Description |
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protected IsotonicCalibrator |
_isotonic_calibrator |
_algoName, _balanceClasses, _category, _defaultThreshold, _h2oVersion, _modelAttributes, _modelClassDistrib, _modelDescriptor, _mojo_version, _nclasses, _nfeatures, _priorClassDistrib, _reproducibilityInformation, _supervised, _uuid
_domains, _foldColumn, _names, _offsetColumn, _responseColumn, _treatmentColumn
Constructor and Description |
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IsotonicRegressionMojoModel(java.lang.String[] columns,
java.lang.String[][] domains,
java.lang.String responseColumn) |
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, load, nclasses, nfeatures
bitSetContains, bitSetIsInRange, calibrateClassProbabilities, convertDouble2Float, correctProbabilities, createAuxKey, features, GBM_rescale, getCategoricalEncoding, getColIdx, getDomainValues, getDomainValues, getDomainValues, getHeader, getModelCategories, getNames, getNumClasses, getNumCols, getNumResponseClasses, getOffsetName, getOrigDomainValues, getOrigNames, getOrigNumCols, getOrigProjectionArray, getOutputDomains, getOutputNames, getPrediction, getPredictionBinomial, getPredictionMultinomial, getPredsSize, getPredsSize, getResponseIdx, getResponseName, GLM_identityInv, GLM_inverseInv, GLM_logInv, GLM_logitInv, GLM_ologitInv, GLM_tweedieInv, img2pixels, internal_threadSafeInstance, isAutoEncoder, isClassifier, KMeans_closest, KMeans_distance, KMeans_distance, KMeans_distances, Kmeans_preprocessData, Kmeans_preprocessData, KMeans_simplex, log_rescale, mapEnum, nCatFeatures, requiresOffset, score0, setCats, setCats, setInput, setInput
protected IsotonicCalibrator _isotonic_calibrator
public IsotonicRegressionMojoModel(java.lang.String[] columns, java.lang.String[][] domains, java.lang.String responseColumn)
public double[] score0(double[] row, double[] preds)
GenModel