public static class ModelSelectionModel.ModelSelectionModelOutput
extends hex.Model.Output
| Modifier and Type | Field and Description |
|---|---|
water.Key[] |
_best_model_ids |
_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 |
|---|
ModelSelectionModelOutput(ModelSelection b,
DataInfo dinfo) |
| Modifier and Type | Method and Description |
|---|---|
double[][] |
beta() |
java.lang.String[][] |
coefficientNames() |
void |
generateSummary() |
void |
generateSummary(int numModels) |
hex.ModelCategory |
getModelCategory() |
double[][] |
getNormBeta() |
void |
shrinkArrays(int numModelsBuilt) |
checksum_impl, classNames, clearModelMetrics, createInputFramesInformationTable, defaultThreshold, features, foldIdx, foldName, getInformationTableNumRows, getModelMetrics, hasFold, hasOffset, hasResponse, hasTreatment, hasWeights, interactionBuilder, isAutoencoder, isBinomialClassifier, isClassifier, isMultinomialClassifier, isSupervised, nclasses, nfeatures, offsetIdx, offsetName, printTwoDimTables, resetThreshold, responseIdx, responseName, setNames, setNames, startClock, stopClock, toString, treatmentIdx, weightsIdx, weightsNamepublic ModelSelectionModelOutput(ModelSelection b, DataInfo dinfo)
public java.lang.String[][] coefficientNames()
public double[][] beta()
public double[][] getNormBeta()
public hex.ModelCategory getModelCategory()
getModelCategory in class hex.Model.Outputpublic void shrinkArrays(int numModelsBuilt)
public void generateSummary()
public void generateSummary(int numModels)