scorepyo.ranking

Classes for binary features rankers

Classes

BordaRank(list_ranker, **kwargs)	Based on a list of Ranker, computes the Borda rank of each binary feature based on all rankers.
CumulativeMetric(metric, ranker, **kwargs)	Binary features ranker based on computing a metric on a growing number of binary features.
DiverseLogOddsDensity([rank_diversity])	Binary features ranker based on logodds contribution of binary feature, and density of the binary feature (number of samples with a positive value on the binary feature)
FasterRiskRank([parent_size, child_size, ...])	Binary features ranker based on FasterRisk, another risk score model library.
LarsPathRank(**kwargs)	Binary feature ranker based on LARS lasso path.
LassoPathRank(**kwargs)	Binary feature ranker based on lasso path.
LogOddsDensity(**kwargs)	Binary features ranker based on logodds contribution of binary feature, and reduced importance of density of the binary feature (number of samples with a positive value on the binary feature)
OMPRank(**kwargs)	Binary feature ranker based on Orthogonal Matching Pursuit.
Ranker()	Base class for binary features ranker