Model input dimension does not update when keeping top n features

[virgile-blg]

Setting : Neural Bandit

When setting keep_only_top_n to True, the model keeps the original number of features, resulting in a Pytorch matmul error for the first linear layer:

RuntimeError: mat1 and mat2 shapes cannot be multiplied (256x10 and 121x64)