public static class GLRMModel.GLRMOutput
extends hex.Model.Output
Modifier and Type | Field and Description |
---|---|
water.util.TwoDimTable |
_archetypes |
GLRM.Archetypes |
_archetypes_raw |
double |
_avg_change_obj |
int[] |
_catOffsets |
water.util.TwoDimTable |
_eigenvectors |
double[][] |
_eigenvectors_raw |
java.util.ArrayList<java.lang.Double> |
_history_objective |
java.util.ArrayList<java.lang.Double> |
_history_step_size |
water.util.TwoDimTable |
_importance |
water.Key<? extends hex.Model> |
_init_key |
int |
_iterations |
hex.genmodel.algos.glrm.GlrmLoss[] |
_lossFunc |
java.lang.String[] |
_names_expanded |
int |
_ncats |
int |
_nnums |
long |
_nobs |
double[] |
_normMul |
double[] |
_normSub |
double |
_objective |
int[] |
_permutation |
water.Key<water.fvec.Frame> |
_representation_key |
java.lang.String |
_representation_name |
double[] |
_singular_vals |
double[] |
_std_deviation |
double |
_step_size |
double |
_total_variance |
java.util.ArrayList<java.lang.Long> |
_training_time_ms |
int |
_updates |
_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, _distribution, _domains, _end_time, _hasFold, _hasOffset, _hasWeights, _isSupervised, _job, _model_summary, _modelClassDist, _names, _origDomains, _origNames, _priorClassDist, _run_time, _scoring_history, _start_time, _training_metrics, _validation_metrics
Constructor and Description |
---|
GLRMModel.GLRMOutput(GLRM b) |
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 GLRM all the columns are features.
|
checksum_impl, classNames, clearModelMetrics, foldIdx, foldName, getModelMetrics, hasFold, hasOffset, hasWeights, interactions, isAutoencoder, isBinomialClassifier, isClassifier, isSupervised, nclasses, offsetIdx, offsetName, printTwoDimTables, responseIdx, responseName, setNames, startClock, stopClock, toString, weightsIdx, weightsName
public int _iterations
public int _updates
public double _objective
public double _step_size
public double _avg_change_obj
public java.util.ArrayList<java.lang.Double> _history_objective
public water.util.TwoDimTable _archetypes
public GLRM.Archetypes _archetypes_raw
public java.util.ArrayList<java.lang.Double> _history_step_size
public double[][] _eigenvectors_raw
public water.util.TwoDimTable _eigenvectors
public double[] _singular_vals
public java.lang.String _representation_name
public water.Key<water.fvec.Frame> _representation_key
public water.Key<? extends hex.Model> _init_key
public int _ncats
public int _nnums
public long _nobs
public int[] _catOffsets
public double[] _normSub
public double[] _normMul
public int[] _permutation
public java.lang.String[] _names_expanded
public hex.genmodel.algos.glrm.GlrmLoss[] _lossFunc
public java.util.ArrayList<java.lang.Long> _training_time_ms
public double _total_variance
public double[] _std_deviation
public water.util.TwoDimTable _importance
public GLRMModel.GLRMOutput(GLRM b)
public int nfeatures()
nfeatures
in class hex.Model.Output
public hex.ModelCategory getModelCategory()
getModelCategory
in class hex.Model.Output