redirect Lale autogen to lale.lib.sklearn where overlap

[hirzel]

There are 43 operators that exist in both lale.lib.autogen and lale.lib.sklearn. This overlap is problematic, because it can lead to unexpected behavior depending on the order of imports, and users might end up with a lower-quality version of an operator for which we also have a higher-quality version. We should simply remove lale.lib.autogen operators from the repository for which there is also a lale.lib.sklearn operator. To avoid breaking code that uses them, we can change the __init__.py file of lale.lib.autogen to forward to the relevant replacements.

List of duplicate operators: ada_boost_classifier, ada_boost_regressor, decision_tree_classifier, decision_tree_regressor, extra_trees_classifier, extra_trees_regressor, function_transformer, gaussian_nb, gradient_boosting_classifier, gradient_boosting_regressor, isomap, k_means, k_neighbors_classifier, k_neighbors_regressor, linear_regression, linear_svc, linear_svr, logistic_regression, min_max_scaler, missing_indicator, mlp_classifier, multinomial_nb, nmf, normalizer, nystroem, one_hot_encoder, ordinal_encoder, passive_aggressive_classifier, pca, polynomial_features, quadratic_discriminant_analysis, quantile_transformer, random_forest_classifier, random_forest_regressor, ridge, ridge_classifier, robust_scaler, sgd_classifier, sgd_regressor, simple_imputer, standard_scaler, svc, svr

[hirzel]

Fixed by #1299.