lerot.ranker¶
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class
lerot.ranker.
DeterministicRankingFunction
(ranker_arg_str, ties, feature_count, init='random', sample='sample_unit_sphere')[source]¶ Bases:
lerot.ranker.AbstractRankingFunction.AbstractRankingFunction
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class
lerot.ranker.
ModelRankingFunction
[source]¶ Bases:
lerot.ranker.StatelessRankingFunction.StatelessRankingFunction
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class
lerot.ranker.
ProbabilisticRankingFunction
(ranker_arg_str, ties, feature_count, init='random', sample='sample_unit_sphere')[source]¶ Bases:
lerot.ranker.AbstractRankingFunction.AbstractRankingFunction
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class
lerot.ranker.
StatelessRankingFunction
(ranker_arg_str, ties, feature_count, init='random', sample='sample_unit_sphere')[source]¶ Bases:
lerot.ranker.AbstractRankingFunction.AbstractRankingFunction
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class
lerot.ranker.
SyntheticDeterministicRankingFunction
(synthetic_docs)[source]¶ Bases:
lerot.ranker.StatelessRankingFunction.StatelessRankingFunction
Synthetic deterministic ranker.
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class
lerot.ranker.
SyntheticProbabilisticRankingFunction
(ranker_arg_str, ties='random')[source]¶ Bases:
lerot.ranker.ProbabilisticRankingFunction.ProbabilisticRankingFunction
Synthetic ranker for use in this experiment only