Currently, if we pass a supervised scoring function like b^3_F_score to the clusterer, the code will raise an error for the case of no ground truth (all y's are -1). This PR allows a proper usage of the clustering passing a supervised or unsupervised scoring function or both. @MSusik @glouppe @etzemis
Currently, if we pass a supervised scoring function like b^3_F_score to the clusterer, the code will raise an error for the case of no ground truth (all y's are -1). This PR allows a proper usage of the clustering passing a supervised or unsupervised scoring function or both. @MSusik @glouppe @etzemis