Details of H2OGLRMMOJOModel

getArchetypes()

Mapping from lower dimensional k-space to training features (Y).

getAvgChangeObj()

Average change in objective value on final iteration.

getCrossValidationMetrics()

Cross Validation metrics represented as a map.

getCrossValidationMetricsObject()

Cross Validation metrics in strongly typed object.

getCrossValidationMetricsSummary()

Cross validation metrics summary contains information about performance of individual folds according to various model metrics.

getDefaultThreshold()

Default threshold used for predictions of classification models

getEigenvectors()

Eigenvectors of XY matrix.

getEndTime()

End time in milliseconds

getFeatureImportances()

Feature importances.

getFeatureTypes()

Types of feature columns expected by the model

getImportance()

Standard deviation and importance of each principal component.

getIterations()

Number of iterations executed.

getModelCategory()

H2O’s model category

getModelDetails()

Raw details of this model.

getNumberOfCrossValidationModels()

Number of cross validation models.

getObjective()

Current value of the objective function.

getRunTime()

Runtime in milliseconds

getScoringHistory()

Scoring history acquired during the model training.

getSingularVals()

Singular values of XY matrix.

getStartTime()

Start time in milliseconds

getStepSize()

Final step size.

getTrainingMetrics()

Training metrics represented as a map.

getTrainingMetricsObject()

Training metrics in strongly typed object.

getTrainingParams()

Training params

getUpdates()

Number of updates executed.

getValidationMetrics()

Validation metrics represented as a map.

getValidationMetricsObject()

Validation metrics in strongly typed object.