Transformer Script: Fe

# Fit numeric pipeline if self.numeric_features: self.num_imputer_.fit(X[self.numeric_features]) if self.scale: self.scaler_.fit(X[self.numeric_features])

def transform(self, X): X_transformed = pd.DataFrame(index=X.index) FE Transformer Script

# Fit encoder for categoricals if self.encode and self.categorical_features: self.encoder_ = OneHotEncoder(handle_unknown='ignore', sparse_output=False) self.encoder_.fit(X[self.categorical_features]) # Fit numeric pipeline if self