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.