Large data loading problem

[ikki407]

Training and test data are now loaded at the beginning of model building.

However, it is not time-efficient if the data is very large.

So, if the data used is not changed through staking script, the data should be stored somewhere of base.py.

STORED_X = pd.DataFrame()

def load_data(stored=True):
    if STORED_X:
        return STORED_X

    else:
        ...

    if stored:
        STORED_X = X.copy()
        return STORED_X

    else:
        return X