def compute_result(self):
self.resampled_trajectory = target_data_utility.convert_targets_to_simple_values(self.resampled_trajectory)
self.processing_model.original = self.resampled_trajectory
self.ds.sa['targets'] = self.resampled_trajectory
fold_wise_processor = FoldWiseProcessor(self.ds, self.resampled_trajectory, kNN(k=9, dfx=one_minus_correlation, voting='majority'), self.num_folds, False)
fold_wise_processor.process()
self.processing_model.result = fold_wise_processor.results
self.processing_model.accuracy = ClassificationQuantifier().compute_accuracy(self.ds.targets, self.processing_model.result)
def compute_result(self):
fold_wise_processor = FoldWiseProcessor(self.ds, self.resampled_trajectory, SKLLearnerAdapter(DecisionTreeRegressor(max_depth=2)), 20, False)
fold_wise_processor.process()
self.processing_model.result = fold_wise_processor.results
self.processing_model.accuracy = RegressionQuantifier().compute_accuracy(self.processing_model.original, self.processing_model.result)
