fix docs for per_float_feature_quantization
Note: mandatory check (NEED_CHECK) was skipped
@@ -2956,11 +2956,13 @@ class CatBoostClassifier(CatBoost):
- 'GreedyLogSum'
- 'MaxLogSum'
- 'MinEntropy'
- per_float_feature_quantization : list of strings, [default='0:nan_mode=Forbidden,border_count=32,border_type=GreedyLogSum',
- '1:nan_mode=Forbidden,border_count=32,border_type=GreedyLogSum', ...]
+ per_float_feature_quantization : list of strings, [default=None]
List of float binarization descriptions.
- Format : see documentation
- Example: ['0:border_count=1024', '1:border_count=1024', ...]
+ Format : described in documentation on catboost.ai
+ Example 1: ['0:1024'] means that feature 0 will have 1024 borders.
+ Example 2: ['0:border_count=1024', '1:border_count=1024', ...] means that two first features have 2014 borders.
+ Example 3: ['0:nan_mode=Forbidden,border_count=32,border_type=GreedyLogSum',
+ '1:nan_mode=Forbidden,border_count=32,border_type=GreedyLogSum'] - defines more quantization properties for first two features.
input_borders : string, [default=None]
input file with borders used in numeric features binarization.
output_borders : string, [default=None]
