partially revert, snapshot params in init and fit now
@@ -1851,6 +1851,12 @@ class CatBoostClassifier(CatBoost):
bagging_temperature : float, [default=None]
Controls intensity of Bayesian bagging. The higher the temperature the more aggressive bagging is.
Typical values are in range [0, 1] (0 - no bagging, 1 - default).
+ save_snapshot : bool, [default=None]
+ Enable progress snapshoting for restoring progress after crashes or interruptions
+ snapshot_file : string, [default=None]
+ Learn progress snapshot file path, if None will use default filename
+ snapshot_interval: int, [default=600]
+ Interval beetween saving snapshots (seconds)
fold_len_multiplier : float, [default=None]
Fold length multiplier. Should be greater than 1
used_ram_limit : string or number, [default=None]
@@ -1973,6 +1979,9 @@ class CatBoostClassifier(CatBoost):
custom_metric=None,
eval_metric=None,
bagging_temperature=None,
+ save_snapshot=None,
+ snapshot_file=None,
+ snapshot_interval=None,
fold_len_multiplier=None,
used_ram_limit=None,
gpu_ram_part=None,
@@ -2329,6 +2338,9 @@ class CatBoostRegressor(CatBoost):
custom_metric=None,
eval_metric=None,
bagging_temperature=None,
+ save_snapshot=None,
+ snapshot_file=None,
+ snapshot_interval=None,
fold_len_multiplier=None,
used_ram_limit=None,
gpu_ram_part=None,
