public static class HGLMModel.HGLMModelOutput
extends hex.Model.Output
Modifier and Type | Field and Description |
---|---|
double[][][] |
_afjtafj |
double[][][] |
_afjtarj |
double[][] |
_afjtyj |
double[][][] |
_arjtarj |
double[][] |
_arjtyj |
double[] |
_beta |
DataInfo |
_dinfo |
java.lang.String[] |
_fixed_coefficient_names |
java.lang.String[] |
_group_column_names |
double[] |
_icc |
int |
_iterations |
double |
_log_likelihood |
double |
_log_likelihood_valid |
int |
_nobs |
int |
_nobs_valid |
int |
_num_fixed_coeffs |
int |
_num_random_coeffs |
java.lang.String[] |
_random_coefficient_names |
water.util.TwoDimTable |
_scoring_history_valid |
double |
_tau_e_var |
double[][] |
_tmat |
long |
_training_time_ms |
double[][] |
_ubeta |
double |
_yMinusFixPredSquare |
double |
_yMinusFixPredSquareValid |
double[][] |
_yMinusXTimesZ |
double[][] |
_yMinusXTimesZValid |
_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 |
---|
HGLMModelOutput(HGLM b,
DataInfo dinfo) |
Modifier and Type | Method and Description |
---|---|
hex.ModelCategory |
getModelCategory() |
int |
nclasses() |
void |
setModelOutput(HGLMTask.ComputationEngineTask comp) |
void |
setModelOutputFields(ComputationStateHGLM state) |
void |
setModelOutputFixMatVec(HGLMTask.ComputationEngineTask comp)
For debugging only.
|
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, nfeatures, offsetIdx, offsetName, printTwoDimTables, resetThreshold, responseIdx, responseName, setNames, setNames, startClock, stopClock, toString, treatmentIdx, treatmentName, weightsIdx, weightsName
public DataInfo _dinfo
public java.lang.String[] _fixed_coefficient_names
public java.lang.String[] _random_coefficient_names
public java.lang.String[] _group_column_names
public long _training_time_ms
public double[] _beta
public double[][] _ubeta
public double[][] _tmat
public double _tau_e_var
public double[][] _afjtyj
public double[][] _arjtyj
public double[][][] _afjtafj
public double[][][] _arjtarj
public double[][][] _afjtarj
public double[][] _yMinusXTimesZ
public double[][] _yMinusXTimesZValid
public int _num_fixed_coeffs
public int _num_random_coeffs
public double[] _icc
public double _log_likelihood
public double _log_likelihood_valid
public int _iterations
public int _nobs
public int _nobs_valid
public double _yMinusFixPredSquare
public double _yMinusFixPredSquareValid
public water.util.TwoDimTable _scoring_history_valid
public void setModelOutputFixMatVec(HGLMTask.ComputationEngineTask comp)
public void setModelOutput(HGLMTask.ComputationEngineTask comp)
public void setModelOutputFields(ComputationStateHGLM state)
public int nclasses()
nclasses
in class hex.Model.Output
public hex.ModelCategory getModelCategory()
getModelCategory
in class hex.Model.Output