AttributeError: 'CustomScaler' object has no attribute 'copy'

Hi Sarath!

Thanks for reaching out.

This error stems from the code you've executed previously in your *.ipynb file. We are aware that this may mean that you have made one of potentially a number of errors, but it is not exactly so.
From the screenshot you've shared, it seems that you may have not created the unscaled_inputs in the way shown in the course. Therefore, can you please revise/restart the kernel and re-run all cells in the suggested order, to ensure that this variable contains the relevant content?

Hope this helps but please feel free to get back to us should you need further assistance. Thank you.
Best,
Martin

In Shaa Allah it works through this code:

class CustomScaler(BaseEstimator, TransformerMixin):

    def __init__(self, columns, copy=True, with_mean=True, with_std=True):
        self.columns = columns
        self.copy = copy
        self.with_mean = with_mean
        self.with_std = with_std

    def fit(self, X, y=None):
        self.scaler = StandardScaler(copy=self.copy, with_mean=self.with_mean, with_std=self.with_std)
        self.scaler.fit(X[self.columns], y)
        self.mean_ = np.mean(X[self.columns])
        self.var_ = np.var(X[self.columns])
        return self

    def transform(self, X, y=None, copy=None):
        init_col_order = X.columns
        X_scaled = pd.DataFrame(self.scaler.transform(X[self.columns]), columns=self.columns)
        X_not_scaled = X.loc[:, ~X.columns.isin(self.columns)]
        return pd.concat([X_not_scaled, X_scaled], axis = 1)[init_col_order]

Hi Barkamol!

Thanks for reaching out and sharing your solution with the Community!
Please do not hesitate to post a question should you need any assistance. Thank you.

Kind regards,
Martin