5b8864d1863ac0474db8b657f023341686f4b1fb,benchmark/imdb.py,,imdb_raw,#,9
Before Change
def imdb_raw():
index_offset = 3 // word index offset
(x_train, y_train), (x_test, y_test) = imdb.load_data(index_from=index_offset)
word_to_id = imdb.get_word_index()
word_to_id = {k: (v + index_offset) for k, v in word_to_id.items()}
word_to_id["<PAD>"] = 0
After Change
// set path to dataset
IMDB_DATADIR = os.path.join(os.path.dirname(dataset), "aclImdb")
classes = ["pos", "neg"]
train_data = load_files(os.path.join(IMDB_DATADIR, "train"), shuffle=True, categories=classes)
test_data = load_files(os.path.join(IMDB_DATADIR, "test"), shuffle=False, categories=classes)
encoding = "utf-8"
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 2
Instances
Project Name: jhfjhfj1/autokeras
Commit Name: 5b8864d1863ac0474db8b657f023341686f4b1fb
Time: 2020-09-24
Author: jhfjhfj1@gmail.com
File Name: benchmark/imdb.py
Class Name:
Method Name: imdb_raw
Project Name: mne-tools/mne-python
Commit Name: 1b9d2228bc40f817ef1765686bc2ec6e81079d13
Time: 2020-12-17
Author: larson.eric.d@gmail.com
File Name: mne/preprocessing/tests/test_ecg.py
Class Name:
Method Name: test_find_ecg