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QuAcc
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rcv1 updated

This commit is contained in:
Lorenzo Volpi 2023-09-15 02:20:47 +02:00
parent 37392c6545
commit 2235fd35c0
1 changed files with 12 additions and 3 deletions
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15
quacc/dataset.py
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@ -13,23 +13,32 @@ def get_imdb() -> Tuple[LabelledCollection]:
return train, validation, test
def get_spambase():
def get_spambase() -> Tuple[LabelledCollection]:
train, test = qp.datasets.fetch_UCIDataset("spambase", verbose=False).train_test
train, validation = train.split_stratified(train_prop=TRAIN_VAL_PROP)
return train, validation, test
def get_rcv1(sample_size=100):
n_train = 23149
dataset = fetch_rcv1()
def dataset_split(data, labels, classes=[0, 1]) -> Tuple[LabelledCollection]:
all_train_d, test_d = data[:n_train, :], data[n_train:, :]
all_train_l, test_l = labels[:n_train], labels[n_train:]
all_train = LabelledCollection(all_train_d, all_train_l, classes=classes)
test = LabelledCollection(test_d, test_l, classes=classes)
train, validation = all_train.split_stratified(train_prop=TRAIN_VAL_PROP)
return train, validation, test
target_labels = [
(target, dataset.target[:, ind].toarray().flatten())
for (ind, target) in enumerate(dataset.target_names)
]
filtered_target_labels = filter(
lambda _, labels: np.sum(labels) >= sample_size, target_labels
lambda _, labels: np.sum(labels[n_train:]) >= sample_size, target_labels
)
return {
target: LabelledCollection(dataset.data, labels, classes=[0, 1])
target: dataset_split(dataset.data, labels, classes=[0, 1])
for (target, labels) in filtered_target_labels
}