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binary experiments

This commit is contained in:
Alejandro Moreo Fernandez 2023-09-11 12:48:32 +02:00
parent 7e2237abe8
commit 9221b3f775
5 changed files with 6 additions and 5 deletions
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2
distribution_matching/lequa_experiments.py
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@ -18,7 +18,7 @@ if __name__ == '__main__':
qp.environ['SAMPLE_SIZE'] = qp.datasets.LEQUA2022_SAMPLE_SIZE['T1B'] qp.environ['SAMPLE_SIZE'] = qp.datasets.LEQUA2022_SAMPLE_SIZE['T1B']
qp.environ['N_JOBS'] = -1 qp.environ['N_JOBS'] = -1
optim = 'mrae' optim = 'mrae'
result_dir = f'results_lequa_{optim}' result_dir = f'results/results_lequa_{optim}'
os.makedirs(result_dir, exist_ok=True) os.makedirs(result_dir, exist_ok=True)

2
distribution_matching/show_results.py
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@ -2,7 +2,7 @@ import sys
from pathlib import Path from pathlib import Path
import pandas as pd import pandas as pd
result_dir = 'results_tweet_mae_redohyper' result_dir = 'results/results_tweet_mae_redohyper'
#result_dir = 'results_lequa_mrae' #result_dir = 'results_lequa_mrae'
dfs = [] dfs = []

2
distribution_matching/tweets_experiments.py
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@ -21,7 +21,7 @@ if __name__ == '__main__':
n_bags_val = 250 n_bags_val = 250
n_bags_test = 1000 n_bags_test = 1000
optim = 'mae' optim = 'mae'
result_dir = f'results_tweet_{optim}_redohyper' result_dir = f'results/results_tweet_{optim}_redohyper'
os.makedirs(result_dir, exist_ok=True) os.makedirs(result_dir, exist_ok=True)

3
quapy/data/base.py
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@ -319,7 +319,8 @@ class LabelledCollection:
else: else:
raise NotImplementedError('unsupported operation for collection types') raise NotImplementedError('unsupported operation for collection types')
labels = np.concatenate([lc.labels for lc in args]) labels = np.concatenate([lc.labels for lc in args])
classes = np.unique(labels).sort() classes = np.unique(labels)
classes.sort()
return LabelledCollection(instances, labels, classes=classes) return LabelledCollection(instances, labels, classes=classes)
@property @property

2
quapy/data/datasets.py
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@ -204,7 +204,7 @@ def fetch_UCIDataset(dataset_name, data_home=None, test_split=0.3, verbose=False
:return: a :class:`quapy.data.base.Dataset` instance :return: a :class:`quapy.data.base.Dataset` instance
""" """
data = fetch_UCILabelledCollection(dataset_name, data_home, verbose) data = fetch_UCILabelledCollection(dataset_name, data_home, verbose)
return Dataset(*data.split_stratified(1 - test_split, random_state=0)) return Dataset(*data.split_stratified(1 - test_split, random_state=0), name=dataset_name)
def fetch_UCILabelledCollection(dataset_name, data_home=None, verbose=False) -> LabelledCollection: def fetch_UCILabelledCollection(dataset_name, data_home=None, verbose=False) -> LabelledCollection: