d54b1ef0718023c0d25c7da3319f0a9a288913ea,tgen/logreg_rank.py,LogisticRegressionRanker,cdf_to_dist,#LogisticRegressionRanker#,169

Before Change

    def cdf_to_dist(self, cdf):
        Convert a CDF to a distribution (keep the list format, just discount lower bounds).
        lo_bound = 0.0
        dist = []
        for cand, hi_bound in cdf:
            dist.append((cand, hi_bound - lo_bound))
            lo_bound = hi_bound
        return dist

    def get_best_child(self, parent, cdf):

After Change

    def cdf_to_dist(self, cdf):
        Convert a CDF to a distribution (keep the list format, just discount lower bounds).
        lo_bound = 0.0
        dist = {}
        for cand, hi_bound in cdf:
            dist[cand] = hi_bound - lo_bound
            lo_bound = hi_bound
        return dist

    def get_best_child(self, parent, cdf):

Instances