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José Morales authored
* check feature names and order in predict with dataframe * slice df in predict to remove the target * scramble features * handle int column names * only change column order when needed * include validate_features param in booster and sklearn estimators * document validate_features argument * use all_close in preds checks and check for assertion error to compare different arrays * perform remapping and checks in cpp * remove extra logs * fixes * revert cpp * proposal * remove extra arg * lint * restore _data_from_pandas arguments * Apply suggestions from code review Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * move data conversion to Predictor.predict * use Vector2Ptr Co-authored-by:
Nikita Titov <nekit94-08@mail.ru>
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