Input data
Input data for training, testing, and applying the model can be passed as files containing:
- Columns description
- Dataset description in delimiter-separated values format
- Dataset description in extended libsvm format
- Pairs description
- Custom quantization borders and missing value modes
- Group weights
- Baseline
Other data transmission methods are available for the Python and R packages.
Note
The data format is the same for training, testing, and applying the model. Information about the label value (if available) is ignored during model application.