public static class PCAModel.PCAOutput
extends hex.Model.Output
Modifier and Type | Field and Description |
---|---|
int[] |
_catOffsets |
water.util.TwoDimTable |
_eigenvectors |
double[][] |
_eigenvectors_raw |
water.util.TwoDimTable |
_importance |
int |
_ncats |
int |
_nnums |
long |
_nobs |
double[] |
_normMul |
double[] |
_normSub |
double |
_objective |
int[] |
_permutation |
double[] |
_std_deviation |
double |
_total_variance |
java.util.ArrayList<java.lang.Long> |
_training_time_ms |
_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
Modifier and Type | Method and Description |
---|---|
hex.ModelCategory |
getModelCategory() |
int |
nfeatures()
Override because base class implements ncols-1 for features with the
last column as a response variable; for PCA all the columns are
features.
|
changeModelMetricsKey, checksum_impl, classNames, clearModelMetrics, createInputFramesInformationTable, defaultThreshold, features, foldIdx, foldName, getInformationTableNumRows, getModelMetrics, getVariableImportances, hasFold, hasOffset, hasResponse, hasTreatment, hasWeights, interactionBuilder, isAutoencoder, isBinomialClassifier, isClassifier, isMultinomialClassifier, isSupervised, lastSpecialColumnIdx, nclasses, offsetIdx, offsetName, printTwoDimTables, resetThreshold, responseIdx, responseName, setNames, setNames, startClock, stopClock, toString, treatmentIdx, treatmentName, weightsIdx, weightsName
public double _objective
public double[][] _eigenvectors_raw
public water.util.TwoDimTable _eigenvectors
public double[] _std_deviation
public water.util.TwoDimTable _importance
public int _ncats
public int _nnums
public long _nobs
public double _total_variance
public int[] _catOffsets
public double[] _normSub
public double[] _normMul
public int[] _permutation
public java.util.ArrayList<java.lang.Long> _training_time_ms
public PCAOutput(PCA b)
public int nfeatures()
nfeatures
in class hex.Model.Output
public hex.ModelCategory getModelCategory()
getModelCategory
in class hex.Model.Output