Custom quantization borders and NaN modes
Custom quantization borders and the method for processing missing values for the dataset features.
Each line contains information regarding a single border and optionally the NaN mode settings for the corresponding feature.
- NaN modes are output for a feature if the following conditions are met at the same time:
- The chosen NaN mode for the feature differs from Forbidden.
- NaN values are present in the dataset.
The global NaN mode is specified in the --nan-mode (nan_mode) training parameter and can be overridden in the Custom quantization borders and missing value modes input file.
- Format of a single line:
<zero-based feature ID><\t><border value><\t><nan mode>
0<\t>0.25 0<\t>0.75 2<\t>0.3<\t>Max 2<\t>0.85<\t>Max