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"
Italian Trulli
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