Lookahead should respect predefined scores even if the solution is suboptimal

[Stefan Heid]

scikit-psl/skpsl/estimators/probabilistic_scoring_list.py

Lines 238 to 248 in ccd105c

 len_pre = min(len(set(predef_features) & remaining_features), len_) 
 len_rest = len_ - len_pre 
  
 if strict and predef_features: 
     prefixes = [ 
         [f_ for f_ in predef_features if f_ in remaining_features][:len_pre] 
     ] 
 else: 
     prefixes = permutations( 
         set(predef_features) & remaining_features, len_pre 
     ) 

lookahead should not consider any additional features for selection untill the prefix is exausted.

maybe that is already the case, and maybe we need the lookahead regardless because we might need to lookahead when selecting the score for the current feature.

just needs to be checked, as it might save runtime