capreolus.searcher.anserini

Module Contents

Classes

AnseriniSearcherMixIn	MixIn for searchers that use Anserini’s SearchCollection script
PostprocessMixin
BM25	Anserini BM25. This searcher’s parameters can also be specified as lists indicating parameters to grid search (e.g., "0.4,0.6,0.8,1.0" or "0.4..1,0.2").
BM25Grid	Deprecated. BM25 with a grid search for k1 and b. Search is from 0.1 to bmax/k1max in 0.1 increments
BM25RM3	Anserini BM25 with RM3 expansion. This searcher’s parameters can also be specified as lists indicating parameters to grid search (e.g., "0.4,0.6,0.8,1.0" or "0.4..1,0.2").
BM25PostProcess	Anserini BM25. This searcher’s parameters can also be specified as lists indicating parameters to grid search (e.g., "0.4,0.6,0.8,1.0" or "0.4..1,0.2").
StaticBM25RM3Rob04Yang19	Tuned BM25+RM3 run used by Yang et al. in [1]. This should be used only with a benchmark using the same folds and queries.
BM25PRF	Anserini BM25 PRF. This searcher’s parameters can also be specified as lists indicating parameters to grid search (e.g., "0.4,0.6,0.8,1.0" or "0.4..1,0.2").
AxiomaticSemanticMatching	Anserini BM25 with Axiomatic query expansion. This searcher’s parameters can also be specified as lists indicating parameters to grid search (e.g., "0.4,0.6,0.8,1.0" or "0.4..1,0.2").
DirichletQL	Anserini QL with Dirichlet smoothing. This searcher’s parameters can also be specified as lists indicating parameters to grid search (e.g., "0.4,0.6,0.8,1.0" or "0.4..1,0.2").
QLJM	Anserini QL with Jelinek-Mercer smoothing. This searcher’s parameters can also be specified as lists indicating parameters to grid search (e.g., "0.4,0.6,0.8,1.0" or "0.4..1,0.2").
INL2	Anserini I(n)L2 scoring model. This searcher does not support list parameters.
SPL	Anserini SPL scoring model. This searcher does not support list parameters.
F2Exp	F2Exp scoring model. This searcher does not support list parameters.
F2Log	F2Log scoring model. This searcher does not support list parameters.
SDM	Anserini BM25 with the Sequential Dependency Model. This searcher supports list parameters for only k1 and b.

Functions

list2str(l, delimiter='-')

capreolus.searcher.anserini.logger

capreolus.searcher.anserini.MAX_THREADS

capreolus.searcher.anserini.list2str(l, delimiter='-')

class capreolus.searcher.anserini.AnseriniSearcherMixIn

MixIn for searchers that use Anserini’s SearchCollection script

class capreolus.searcher.anserini.PostprocessMixin

filter(self, run_dir, docs_to_remove=None, docs_to_keep=None, topn=None)

dedup(self, run_dir, topn=None)

class capreolus.searcher.anserini.BM25(config=None, provide=None, share_dependency_objects=False, build=True)

Bases: capreolus.searcher.Searcher, capreolus.searcher.anserini.AnseriniSearcherMixIn

Anserini BM25. This searcher’s parameters can also be specified as lists indicating parameters to grid search (e.g., "0.4,0.6,0.8,1.0" or "0.4..1,0.2").

module_name = BM25

dependencies

config_spec

class capreolus.searcher.anserini.BM25Grid(config=None, provide=None, share_dependency_objects=False, build=True)

Bases: capreolus.searcher.Searcher, capreolus.searcher.anserini.AnseriniSearcherMixIn

Deprecated. BM25 with a grid search for k1 and b. Search is from 0.1 to bmax/k1max in 0.1 increments

module_name = BM25Grid

dependencies

config_spec

class capreolus.searcher.anserini.BM25RM3(config=None, provide=None, share_dependency_objects=False, build=True)

Bases: capreolus.searcher.Searcher, capreolus.searcher.anserini.AnseriniSearcherMixIn

Anserini BM25 with RM3 expansion. This searcher’s parameters can also be specified as lists indicating parameters to grid search (e.g., "0.4,0.6,0.8,1.0" or "0.4..1,0.2").

module_name = BM25RM3

dependencies

config_spec

class capreolus.searcher.anserini.BM25PostProcess(config=None, provide=None, share_dependency_objects=False, build=True)

Bases: capreolus.searcher.anserini.BM25, capreolus.searcher.anserini.PostprocessMixin

Anserini BM25. This searcher’s parameters can also be specified as lists indicating parameters to grid search (e.g., "0.4,0.6,0.8,1.0" or "0.4..1,0.2").

module_name = BM25Postprocess

config_spec

query_from_file(self, topicsfn, output_path, docs_to_remove=None)

class capreolus.searcher.anserini.StaticBM25RM3Rob04Yang19(config=None, provide=None, share_dependency_objects=False, build=True)

Bases: capreolus.searcher.Searcher

Tuned BM25+RM3 run used by Yang et al. in [1]. This should be used only with a benchmark using the same folds and queries.

[1] Wei Yang, Kuang Lu, Peilin Yang, and Jimmy Lin. Critically Examining the “Neural Hype”: Weak Baselines and the Additivity of Effectiveness Gains from Neural Ranking Models. SIGIR 2019.

module_name = bm25staticrob04yang19

abstract query(self, *args, **kwargs)

search document based on given query, using parameters in config as default

class capreolus.searcher.anserini.BM25PRF(config=None, provide=None, share_dependency_objects=False, build=True)

Bases: capreolus.searcher.Searcher, capreolus.searcher.anserini.AnseriniSearcherMixIn

Anserini BM25 PRF. This searcher’s parameters can also be specified as lists indicating parameters to grid search (e.g., "0.4,0.6,0.8,1.0" or "0.4..1,0.2").

module_name = BM25PRF

dependencies

config_spec

class capreolus.searcher.anserini.AxiomaticSemanticMatching(config=None, provide=None, share_dependency_objects=False, build=True)

Bases: capreolus.searcher.Searcher, capreolus.searcher.anserini.AnseriniSearcherMixIn

Anserini BM25 with Axiomatic query expansion. This searcher’s parameters can also be specified as lists indicating parameters to grid search (e.g., "0.4,0.6,0.8,1.0" or "0.4..1,0.2").

module_name = axiomatic

dependencies

config_spec

class capreolus.searcher.anserini.DirichletQL(config=None, provide=None, share_dependency_objects=False, build=True)

Bases: capreolus.searcher.Searcher, capreolus.searcher.anserini.AnseriniSearcherMixIn

Anserini QL with Dirichlet smoothing. This searcher’s parameters can also be specified as lists indicating parameters to grid search (e.g., "0.4,0.6,0.8,1.0" or "0.4..1,0.2").

module_name = DirichletQL

dependencies

config_spec

class capreolus.searcher.anserini.QLJM(config=None, provide=None, share_dependency_objects=False, build=True)

Bases: capreolus.searcher.Searcher, capreolus.searcher.anserini.AnseriniSearcherMixIn

Anserini QL with Jelinek-Mercer smoothing. This searcher’s parameters can also be specified as lists indicating parameters to grid search (e.g., "0.4,0.6,0.8,1.0" or "0.4..1,0.2").

module_name = QLJM

dependencies

config_spec

class capreolus.searcher.anserini.INL2(config=None, provide=None, share_dependency_objects=False, build=True)

Bases: capreolus.searcher.Searcher, capreolus.searcher.anserini.AnseriniSearcherMixIn

Anserini I(n)L2 scoring model. This searcher does not support list parameters.

module_name = INL2

dependencies

config_spec

class capreolus.searcher.anserini.SPL(config=None, provide=None, share_dependency_objects=False, build=True)

Bases: capreolus.searcher.Searcher, capreolus.searcher.anserini.AnseriniSearcherMixIn

Anserini SPL scoring model. This searcher does not support list parameters.

module_name = SPL

dependencies

config_spec

class capreolus.searcher.anserini.F2Exp(config=None, provide=None, share_dependency_objects=False, build=True)

Bases: capreolus.searcher.Searcher, capreolus.searcher.anserini.AnseriniSearcherMixIn

F2Exp scoring model. This searcher does not support list parameters.

module_name = F2Exp

dependencies

config_spec

class capreolus.searcher.anserini.F2Log(config=None, provide=None, share_dependency_objects=False, build=True)

Bases: capreolus.searcher.Searcher, capreolus.searcher.anserini.AnseriniSearcherMixIn

F2Log scoring model. This searcher does not support list parameters.

module_name = F2Log

dependencies

config_spec

class capreolus.searcher.anserini.SDM(config=None, provide=None, share_dependency_objects=False, build=True)

Bases: capreolus.searcher.Searcher, capreolus.searcher.anserini.AnseriniSearcherMixIn

Anserini BM25 with the Sequential Dependency Model. This searcher supports list parameters for only k1 and b.

module_name = SDM

dependencies

config_spec