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)