FindBestModel

class FindBestModel.BestModel(java_model=None)

Bases: mmlspark._FindBestModel._BestModel

getAllModelMetrics()

Returns a table of metrics from all models compared from the evaluation comparison.

getBestModel()

Returns the best model.

getBestModelMetrics()

Returns all of the best model metrics results from the evaluator.

getEvaluationResults()

Returns the ROC curve with TPR, FPR.

getScoredDataset()

Returns scored dataset for the best model.

class FindBestModel.FindBestModel(evaluationMetric='accuracy', models=None)

Bases: mmlspark._FindBestModel._FindBestModel