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QuaPy/quapy/method/__init__.py

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added Ensemble methods (methods ALL, ACC, Ptr, DS from Pérez-Gallego et al 2017 and 2019) and some UCI ML datasets used in those articles (only 5 datasets out of 32 they used)
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from . import aggregative
import fixes
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from . import base
added Ensemble methods (methods ALL, ACC, Ptr, DS from Pérez-Gallego et al 2017 and 2019) and some UCI ML datasets used in those articles (only 5 datasets out of 32 they used)
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from . import meta
import fixes
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from . import non_aggregative
many aggregative methods added
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Tests for non aggregative and meta methods.
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EXPLICIT_LOSS_MINIMIZATION_METHODS = {
aggregative.ELM,
aggregative.SVMQ,
aggregative.SVMAE,
aggregative.SVMKLD,
aggregative.SVMRAE,
aggregative.SVMNKLD
}
many aggregative methods added
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AGGREGATIVE_METHODS = {
plot functionality added
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aggregative.CC,
aggregative.ACC,
aggregative.PCC,
aggregative.PACC,
aggregative.EMQ,
adding Forman's methods
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aggregative.HDy,
aggregative.X,
aggregative.T50,
aggregative.MAX,
aggregative.MS,
aggregative.MS2,
Tests for non aggregative and meta methods.
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} | EXPLICIT_LOSS_MINIMIZATION_METHODS
many aggregative methods added
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NON_AGGREGATIVE_METHODS = {
evaluation by artificial prevalence sampling added. New methods added. New util functions added to quapy.functional and quapy.utils
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non_aggregative.MaximumLikelihoodPrevalenceEstimation
many aggregative methods added
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}
added Ensemble methods (methods ALL, ACC, Ptr, DS from Pérez-Gallego et al 2017 and 2019) and some UCI ML datasets used in those articles (only 5 datasets out of 32 they used)
2021-01-06 14:58:29 +01:00
META_METHODS = {
Tests for non aggregative and meta methods.
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meta.Ensemble,
added Ensemble methods (methods ALL, ACC, Ptr, DS from Pérez-Gallego et al 2017 and 2019) and some UCI ML datasets used in those articles (only 5 datasets out of 32 they used)
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meta.QuaNet
}
QUANTIFICATION_METHODS = AGGREGATIVE_METHODS | NON_AGGREGATIVE_METHODS | META_METHODS
many aggregative methods added
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