[TRACKER] Ensure that estimator classes do not perform parameter validation on construction

[csadorf]

As required by cuml's development guide, estimator classes must adhere to the API and implementation guidelines put forth by scikit-learn to maximize compatibility.

Those guidelines require that estimators are initialized without any parameter validation or mutation:

There should be no logic, not even input validation, and the parameters should not be changed. The corresponding logic should be put where the parameters are used, typically in fit.

Some of cuml's estimators do not adhere to that standard. This issue tracks checking all of cuml's estimator classes and potentially fixing them.

The following estimators have been checked and are confirmed to not perform any parameter validation or mutation during construction:

• DBSCAN from cuml.cluster.dbscan
• DBSCANMG from cuml.cluster.dbscan_mg
• HDBSCAN from cuml.cluster.hdbscan.hdbscan
• KMeans from cuml.cluster.kmeans
• KMeansMG from cuml.cluster.kmeans_mg
• IncrementalPCA from cuml.decomposition.incremental_pca
• PCA from cuml.decomposition.pca
• PCAMG from cuml.decomposition.pca_mg
• TruncatedSVD from cuml.decomposition.tsvd
• TSVDMG from cuml.decomposition.tsvd_mg
• ForestInference from cuml.experimental.fil.fil
• ElasticNet from cuml.linear_model.elastic_net
• Lasso from cuml.linear_model.lasso
• LinearRegression from cuml.linear_model.linear_regression
• LinearRegressionMG from cuml.linear_model.linear_regression_mg
• LogisticRegression from cuml.linear_model.logistic_regression
• LogisticRegressionMG from cuml.linear_model.logistic_regression_mg
• Ridge from cuml.linear_model.ridge
• RidgeMG from cuml.linear_model.ridge_mg
• TSNE from cuml.manifold.t_sne
• UMAP from cuml.manifold.umap
• KNeighborsClassifier from cuml.neighbors.kneighbors_classifier
• KNeighborsClassifierMG from cuml.neighbors.kneighbors_classifier_mg
• KNeighborsRegressor from cuml.neighbors.kneighbors_regressor
• KNeighborsRegressorMG from cuml.neighbors.kneighbors_regressor_mg
• NearestNeighbors from cuml.neighbors.nearest_neighbors
• NearestNeighborsMG from cuml.neighbors.nearest_neighbors_mg

The following estimators are identified to either validate and/or mutilate init parameters:

• Do not validate/mutilate parameters during construction in LinearRegression from cuml.linear_model.linear_regression
• Do not validate/mutilate parameters during construction in LogisticRegression from cuml.linear_model.logistic_regression

[betatim]

LogisticRegression is another class that performs parameter validation in the constructor.

[csadorf]

LogisticRegression is another class that performs parameter validation in the constructor.

Updated the issue description. I've structured the task lists such that it would be easy to create a sub-task if desired.