# ('probability_results/raw_normalized_smoothed_dataset_cnn_wrapper_2d_tune', ReshapeTransform()), ('probability_results/raw_normalized_smoothed_dataset_cnn_wrapper_window_slicing_size1000', ReshapeTransform()), # ('probability_results/detrend_gaussian10_dataset_edited_nn_pca_xgb_tune', ReshapeTransform()), ('probability_results/fft_smoothed10_dataset_xgb_tune', ReshapeTransform()), ('probability_results/fft_smoothed10_dataset_edited_nn_pca_xgb_tune', ReshapeTransform()), ('probability_results/fft_smoothed10_dataset_cnn_wrapper_1d_half', ReshapeTransform()), # ('probability_results/fft_normalized_dataset_onesided_pca_xgb_tune', ReshapeTransform()), # ('probability_results/fft_smoothed10_dataset_lle_xgb_tune', ReshapeTransform()), ], 'target': ('labels', SimpleTransform()) } generate_dataset(struct, 'ensemble_dataset_dummy', test=args.test) struct = { 'features': [('probs/fft_smoothed10_ar100_dataset_edited_nn_xgb_fft10ar100', ReshapeTransform()), ('probs/fft_smoothed10_ar100_dataset_rfecv_xgb', ReshapeTransform()), ('probs/fft_smoothed10_dataset_cnn_wrapper_1d_half_no_rolling_fft10', ReshapeTransform()), ('probs/fft_smoothed10_dataset_cnn_wrapper_fft', ReshapeTransform()), ('probs/fft_smoothed10_dataset_edited_nn_pca_xgb_fft10', ReshapeTransform()), ('probs/fft_smoothed10_dataset_xgb_fft10', ReshapeTransform()), ('probs/raw_normalized_gaussian50_dataset_cnn_wrapper_2d_rng50', ReshapeTransform()), ('probs/raw_normalized_gaussian50_dataset_cnn_wrapper_2d_window_slicing_2500_rng50',
import argparse if __name__ == '__main__': parser = argparse.ArgumentParser() parser.add_argument('--test', help="'train' or 'test' data", action='store_true') args = parser.parse_args() struct = { 'features': [ ('raw_mean_std_normalized', SimpleTransform()), ], 'target': ('labels', SimpleTransform()) } generate_dataset(struct, 'raw_normalized_dataset', args.test) struct = { 'features': [ ('raw_mean_std_normalized', SimpleTransform()), ('raw_mean_std_normalized_smoothed_uniform200', SimpleTransform()), ], 'target': ('labels', SimpleTransform()) } generate_dataset(struct, 'raw_normalized_smoothed_dataset', args.test) # Raw data with gaussian smoothing 50 struct = { 'features': [ ('raw_mean_std_normalized', SimpleTransform()), ('raw_mean_std_normalized_smoothed_gaussian50', SimpleTransform()),
import argparse if __name__ == '__main__': parser = argparse.ArgumentParser() parser.add_argument('--test', help="'train' or 'test' data", action='store_true') args = parser.parse_args() struct = { 'features': [ ('fft_smoothed_sigma10', SimpleTransform()), ], 'target': ('labels', SimpleTransform()) } generate_dataset(struct, 'fft_smoothed10_dataset', args.test) struct = { 'features': [ ('fft_smoothed_sigma20', SimpleTransform()), # ('fft_half_normalized', SimpleTransform()), # ('fft_normalized', SimpleTransform()), ], 'target': ('labels', SimpleTransform()) } generate_dataset(struct, 'fft_smoothed20_dataset', args.test) struct = { 'features': [ ('fft_smoothed_median81', SimpleTransform()),
from preprocessing_features import generate_fft_features from utils.processing_helper import SimpleTransform, generate_dataset if __name__ == '__main__': parser = argparse.ArgumentParser() parser.add_argument('--test', help="'train' or 'test' data", action='store_true') args = parser.parse_args() struct = { 'features': [('tsfeats/raw_ar_coeff100', SimpleTransform())], 'target': ('labels', SimpleTransform()) } generate_dataset(struct, 'raw_ar_coeff100_dataset', test=args.test) struct = { 'features': [('tsfeats/raw_ar_coeff100', SimpleTransform()), ('raw_arima_5_5_1', SimpleTransform())], 'target': ('labels', SimpleTransform()) } generate_dataset(struct, 'raw_ar_coeff100_arima_dataset', test=args.test) struct = { 'features': [('tsfeats/raw_ar_coeff500', SimpleTransform())], 'target': ('labels', SimpleTransform()) } generate_dataset(struct, 'raw_ar_coeff500_dataset', test=args.test) struct = {
from utils.processing_helper import SimpleTransform, generate_dataset import argparse if __name__ == '__main__': parser = argparse.ArgumentParser() parser.add_argument('--test', help="'train' or 'test' data", action='store_true') args = parser.parse_args() struct = { 'features': [ ('wavelet_db2_a', SimpleTransform()), ], 'target': ('labels', SimpleTransform()) } generate_dataset(struct, 'wavelet_db2_a_dataset', args.test) struct = { 'features': [ ('wavelet_db2_b', SimpleTransform()), ], 'target': ('labels', SimpleTransform()) } generate_dataset(struct, 'wavelet_db2_b_dataset', args.test) struct = { 'features': [ ('cwt_features_scale2_real', SimpleTransform()), ], 'target': ('labels', SimpleTransform()) } generate_dataset(struct, 'cwt_features_scale2_real_dataset', args.test)
if __name__ == '__main__': parser = argparse.ArgumentParser() parser.add_argument('--test', help="'train' or 'test' data", action='store_true') args = parser.parse_args() struct = { 'features': [ # ('probability_results/wavelet_db2_b_dataset_xgb', ReshapeTransform()), ('probability_results/raw_normalized_gaussian50_dataset_cnn_wrapper_2d_tune', ReshapeTransform()), # ('probability_results/raw_normalized_smoothed_dataset_cnn_wrapper_2d_tune', ReshapeTransform()), ('probability_results/raw_normalized_smoothed_dataset_cnn_wrapper_window_slicing_size1000', ReshapeTransform()), # ('probability_results/detrend_gaussian10_dataset_edited_nn_pca_xgb_tune', ReshapeTransform()), ('probability_results/fft_smoothed10_dataset_xgb_tune', ReshapeTransform()), ('probability_results/fft_smoothed10_dataset_edited_nn_pca_xgb_tune', ReshapeTransform()), ('probability_results/fft_smoothed10_dataset_cnn_wrapper_1d_half', ReshapeTransform()), # ('probability_results/fft_normalized_dataset_onesided_pca_xgb_tune', ReshapeTransform()), # ('probability_results/fft_smoothed10_dataset_lle_xgb_tune', ReshapeTransform()), ], 'target': ('labels', SimpleTransform()) } generate_dataset(struct, 'ensemble_dataset_dummy', test=args.test)