utils.py 文件源码

def prepare_faces():
    data = sklearn.datasets.fetch_olivetti_faces('../data', shuffle=False)
    X = data.data
    y = data.target

    X = np.split(X, 40)
    y = np.split(y, 40)

    X_train = [x[0:7, :] for x in X]
    X_test = [x[7:, :] for x in X]
    y_train = [a[0:7] for a in y]
    y_test = [a[7:] for a in y]
    X_train = np.concatenate(X_train)
    X_test = np.concatenate(X_test)
    y_train = np.concatenate(y_train)
    y_test = np.concatenate(y_test)

    scaler = MinMaxScaler(feature_range=(-1, 1))
    X_train = scaler.fit_transform(X_train)
    X_test = scaler.transform(X_test)

    return X_train, y_train, X_test, y_test, scaler