move scale_periods() out of models/wavelet.py; same applies to denoise_periods()

the scale_periods() function should not be in wsae_lstm/models/wavelet.py; it should be under wsae_lstm/features/scale_dataset.py .

The same applies to the denoise_periods() function - it shouldn't be under wavelet.py.

https://github.com/timothyyu/wsae-lstm/blob/master/wsae_lstm/models/wavelet.py#L46


def scale_periods(dict_dataframes):

    ddi_scaled = dict()
    for key, index_name in enumerate(dict_dataframes):
        ddi_scaled[index_name] = copy.deepcopy(dict_dataframes[index_name])
    for key, index_name in enumerate(ddi_scaled): 

        scaler = preprocessing.RobustScaler(with_centering=True)

        for index,value in enumerate(ddi_scaled[index_name]):
            X_train = ddi_scaled[index_name][value][1]
            X_train_scaled = scaler.fit_transform(X_train)
            X_train_scaled_df = pd.DataFrame(X_train_scaled,columns=list(X_train.columns))

            X_val = ddi_scaled[index_name][value][2]
            X_val_scaled = scaler.transform(X_val)
            X_val_scaled_df = pd.DataFrame(X_val_scaled,columns=list(X_val.columns))

            X_test = ddi_scaled[index_name][value][3]
            X_test_scaled = scaler.transform(X_test)
            X_test_scaled_df = pd.DataFrame(X_test_scaled,columns=list(X_test.columns))

            ddi_scaled[index_name][value][1] = X_train_scaled_df
            ddi_scaled[index_name][value][2] = X_val_scaled_df
            ddi_scaled[index_name][value][3] = X_test_scaled_df
    return ddi_scaled```

timothyyu / wsae-lstm

move scale_periods() out of models/wavelet.py; same applies to denoise_periods() #8