This version is the first step to version 2.0. It contains all the code; however, it needs documentation.
1.5.9
The function `b4msa_params` has the parameters used in the pretrained BoW model.
1.5.8
Improving the code's readability.
1.5.7
Minor changes to improve the readability. The attribute `kfold_instance` is `kfold_class.` The function `EvoMSA.evodag.config_regressor` helps configure a regressor on a pre-trained representation.
1.5.6
Adding some properties to BoW class.
1.5.5
* Method `select` returns the instance * Download the model file again when it is corrupted.