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                                            WZFish

How can I use xgboost_ray to train a model and use origin xgboost for predict?

I use the sklearn API and when I use model.predict(x) it still run 4 actors(I set n_jobs=4) and very slow. How can I use standard xgboost sklearn API to predict?...

Which datasets provided in the library are multivariate?

I have the same question

[Bugs] Package & Code Problems found when local depoly

issue 4 can add an arg in demo_app.py :parser.add_argument('--freeze_lm', type=bool, default=True)