38b091ba7664f090b0df9973e6c57c7a130b3ad0,tests/test_classifier.py,,test_fit_predict,#Any#,46

Before Change

    path = "tests/resources/temp"
    clean_dir(path)
    clf = ImageClassifier(path=path, verbose=False)
    train_x = np.array([[[1], [2]], [[3], [4]]])
    train_y = np.array(["a", "b"])
    clf.fit(train_x, train_y)
    results = clf.predict(train_x)
    assert all(map(lambda result: result in np.array(["a", "b"]), results))

After Change

    clean_dir(path)
    clf = ImageClassifier(path=path, verbose=False)
    train_x = np.random.rand(100, 25, 25, 1)
    train_y = np.random.randint(0, 5, 100)
    clf.fit(train_x, train_y)
    results = clf.predict(train_x)
    assert all(map(lambda result: result in train_y, results))
    clean_dir(path)

Instances