In generalize_knowledge, output scores from knowledge (1 for the seed facts, an over-threshold classifier score for learnt facts) and not scores from input evidence (0.5 for seeds in the first iteration, and the scores given by the last classifier starting from the second iteration). This guarantees high scores for questions about knowledge.
In generalize_knowledge, output scores from knowledge (1 for the seed facts, an over-threshold classifier score for learnt facts) and not scores from input evidence (0.5 for seeds in the first iteration, and the scores given by the last classifier starting from the second iteration). This guarantees high scores for questions about knowledge.

mrshu/iepy,machinalis/iepy,mrshu/iepy,machinalis/iepy,machinalis/iepy,mrshu/iepy