public static class IsotonicRegressionModel.IsotonicRegressionOutput
extends hex.Model.Output
Modifier and Type | Field and Description |
---|---|
double |
_max_x |
double |
_min_x |
long |
_nobs |
double[] |
_thresholds_x |
double[] |
_thresholds_y |
_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 |
---|
IsotonicRegressionOutput(IsotonicRegression b) |
Modifier and Type | Method and Description |
---|---|
java.lang.String[] |
classNames() |
hex.ModelCategory |
getModelCategory() |
changeModelMetricsKey, checksum_impl, clearModelMetrics, createInputFramesInformationTable, defaultThreshold, features, foldIdx, foldName, getInformationTableNumRows, 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 long _nobs
public double[] _thresholds_y
public double[] _thresholds_x
public double _min_x
public double _max_x
public IsotonicRegressionOutput(IsotonicRegression b)