ObjectBasedTransformedTargetRegressor#
- class polpo.preprocessing.sklearn.compose.ObjectBasedTransformedTargetRegressor(*args: Any, **kwargs: Any)[source]#
Bases:
TransformedTargetRegressor
- predict(X, **predict_params)[source]#
Predict using the base regressor, applying inverse.
The regressor is used to predict and the inverse_func or inverse_transform is applied before returning the prediction.
- Parameters:
X ({array-like, sparse matrix} of shape (n_samples, n_features)) – Samples.
**predict_params (dict of str -> object) – Parameters passed to the predict method of the underlying regressor.
- Returns:
y_hat (ndarray of shape (n_samples,)) – Predicted values.