Alexander Andreev

Latest PyPI packages for 3.10 python version are correct now

There is no obvious reason to pickle objects like `d4p.{qr, pca, *_training, *_prediction}` since they are mostly wrappers for computation methods. Results of algorithms are correctly working with pickle: ```python...

@PivovarA @samir-nasibli are there any stoppers for merging?

It appears that internal oneDAL model with sparse data usage is the reason. Trying to serialize `clf._onedal_estimator._onedal_model` will fail with same error.

Same error without https://github.com/oneapi-src/oneDAL/pull/2122 fix will appear for any patched SVM model - NuSVC/NuSVR/SVC/SVR.

Hi @doganMemory, [PR](https://github.com/oneapi-src/oneDAL/pull/2122) is waiting for additional approval and check

Can you provide XGBoost training parameters or reproducer code? Problems with missing values are known, one possible reason is 'gpu_hist' training method which output XGBoost booster with active missing values...

For now, xgboost models from `gpu_hist` method are not working with daal4py. This behavior is not expected and probably bug, but its source (daal4py or xgboost) is non-obvious since `hist`...

It looks like problem was solved from XGBoost side: boosters created by `gpu_hist` tree method are easily translated to DAAL models now if no missing values are presented (DAAL inference...

Renamed issue to be less confusing