.. _model_details_H2OGLRMMOJOModel:

Details of H2OGLRMMOJOModel
---------------------------

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


getAvgChangeObj()
  Average change in objective value on final iteration.


getCoefficients()
  Table of Coefficients.


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.


getCrossValidationModelsScoringHistory()
  Cross validation models scoring history.


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.


getModelSummary()
  Short summary 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.