encode_model
- pyoptex.utils.model.encode_model(model, effect_types)[source]
Encodes the model according to the effect types. Each continuous variable is encoded as a single column, each categorical variable is encoded by creating n-1 columns (with n the number of categorical levels).
Parameters
- modelnp.array(2d)
The initial model, before encoding
- effect_typesnp.array(1d)
An array indicating whether the effect is continuous (=1) or categorical (with >1 levels).
Returns
- modelnp.array(2d)
The newly encoded model.