Jiaming Yuan c2b3a13e70 [breaking][skl] Remove parameter serialization. (#8963) ...

- Remove parameter serialization in the scikit-learn interface.

The scikit-lear interface `save_model` will save only the model and discard all
hyper-parameters. This is to align with the native XGBoost interface, which distinguishes
the hyper-parameter and model parameters.

With the scikit-learn interface, model parameters are attributes of the estimator. For
instance, `n_features_in_`, `n_classes_` are always accessible with
`estimator.n_features_in_` and `estimator.n_classes_`, but not with the
`estimator.get_params`.

- Define a `load_model` method for classifier to load its own attributes.

- Set n_estimators to None by default.

2023-03-27 21:34:10 +08:00

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