add mvs to python package
@@ -3314,6 +3314,9 @@ class CatBoostClassifier(CatBoost):
subsample : float, [default=None]
Sample rate for bagging. This parameter can be used Poisson or Bernoully bootstrap types.
+ mvs-reg : float, [default is set automatically at each iteration based on gradient distribution]
+ Regularization parameter for MVS sampling algorithm
+
monotone_constraints : list or numpy.array or string, [default=None]
Monotone constraints for all features.
@@ -3479,6 +3482,7 @@ class CatBoostClassifier(CatBoost):
devices=None,
bootstrap_type=None,
subsample=None,
+ mvs_reg=None,
sampling_unit=None,
sampling_frequency=None,
dev_score_calc_obj_block_size=None,
@@ -3922,6 +3926,7 @@ class CatBoostRegressor(CatBoost):
devices=None,
bootstrap_type=None,
subsample=None,
+ mvs_reg=None,
sampling_frequency=None,
sampling_unit=None,
dev_score_calc_obj_block_size=None,
