Subkey |
Description |
---|---|
use |
If True, use feature imputation methods to replace NaN values. If False, all NaN features will be set to zero. |
strategy |
Method to be used for imputation. |
n_neighbors |
When using k-Nearest Neighbors (kNN) for feature imputation, determines the number of neighbors used for imputation. Can be a single integer or a list. |
skipallNaN |
When True, if a feature is NaN for all objects/patients, simply remove this features for all patients. |