private ExperimentResult <TMetrics> ExecuteCrossValSummary(IDataView[] trainDatasets,
ColumnInformation columnInfo,
IDataView[] validationDatasets,
IEstimator <ITransformer> preFeaturizer,
IProgress <RunDetail <TMetrics> > progressHandler)
{
columnInfo = columnInfo ?? new ColumnInformation();
UserInputValidationUtil.ValidateExperimentExecuteArgs(trainDatasets[0], columnInfo, validationDatasets[0], _task);
// Apply pre-featurizer
ITransformer[] preprocessorTransforms = null;
(trainDatasets, validationDatasets, preprocessorTransforms) = ApplyPreFeaturizerCrossVal(trainDatasets, validationDatasets, preFeaturizer);
var runner = new CrossValSummaryRunner <TMetrics>(Context, trainDatasets, validationDatasets, MetricsAgent, preFeaturizer,
preprocessorTransforms, columnInfo.GroupIdColumnName, columnInfo.LabelColumnName, OptimizingMetricInfo, _logger);
var columns = DatasetColumnInfoUtil.GetDatasetColumnInfo(Context, trainDatasets[0], columnInfo);
return(Execute(columnInfo, columns, preFeaturizer, progressHandler, runner));
}
