QuantileBinning
- class lightautoml.transformers.numeric.QuantileBinning(nbins=10)[source]
Bases:
LAMLTransformer
Discretization of numeric features by quantiles.
- Parameters:
nbins (
int
) – maximum number of bins.
- fit(dataset)[source]
Estimate bins borders.
- Parameters:
dataset (
Union
[NumpyDataset
,PandasDataset
]) – Pandas or Numpy dataset of numeric features.- Returns:
self.
- transform(dataset)[source]
Apply bin borders.
- Parameters:
dataset (
Union
[NumpyDataset
,PandasDataset
]) – Pandas or Numpy dataset of numeric features.- Return type:
- Returns:
Numpy dataset with encoded labels.