Class | Description |
---|---|
AbstractBin |
Single bin holding limits (min excluded), count of samples and count of class 0.
|
CategoricalBin |
For categorical features values are already binned to categories - each bin corresponds to one value (category)
|
FeatureBins | |
Histogram | |
NumericBin |
Single bin holding limits (min excluded), count of samples and count of class 0.
|
SplitStatistics |
Potential split including splitting rule and statistics on count of samples and distribution of target variable.
|
Enum | Description |
---|---|
BinningStrategy |
Strategy for binning.
|