Hello, do you mean csr_LabelMatrix.lf_stats(self, session, labels=None, est_accs=None) or GenerativeModel.learned_lf_stats(self)?
I encountered the behavior that in the categorical setting I'm working in, csr_LabelMatrix.lf_stats gives values larger than 1.0 for coverage, overlaps and conflicts.
GenerativeModel.learned_lf_stats seems to return reasonable fractions.
Hello, do you mean
csr_LabelMatrix.lf_stats(self, session, labels=None, est_accs=None)
orGenerativeModel.learned_lf_stats(self)
? I encountered the behavior that in the categorical setting I'm working in, csr_LabelMatrix.lf_stats gives values larger than 1.0 for coverage, overlaps and conflicts. GenerativeModel.learned_lf_stats seems to return reasonable fractions.