34 lines
2.2 KiB
Plaintext
34 lines
2.2 KiB
Plaintext
# main changes in 0.1.7
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- Protocols is now an abstraction, AbstractProtocol. There is a new class extending AbstractProtocol called
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AbstractStochasticSeededProtocol, which implements a seeding policy to allow replicate the series of samplings.
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There are some examples of protocols, APP, NPP, USimplexPP, CovariateShiftPP (experimental).
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The idea is to start the sampling by simpli calling the __call__ method.
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This change has a great impact in the framework, since many functions in qp.evaluation, qp.model_selection,
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and sampling functions in LabelledCollection make use of the old functions.
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- ACC, PACC, Forman's threshold variants have been parallelized.
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Things to fix:
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- eval budget policy?
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- clean functions like binary, aggregative, probabilistic, etc; those should be resolved via isinstance()
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- clean classes_ and n_classes from methods (maybe not from aggregative ones, but those have to be used only
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internally and not imposed in any abstract class)
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- optimize "qp.evaluation.prediction" for aggregative methods (pre-classification)
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- update unit tests
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- Policies should be able to set their output to "labelled_collection" or "instances_prevalence" or something similar.
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- Policies should implement the "gen()" one, taking a reader function as an input, and a folder path maybe
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- Review all documentation, redo the Sphinx doc, update Wikis...
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- Resolve the OneVsAll thing (it is in base.py and in aggregative.py
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- Better handle the environment (e.g., with n_jobs)
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- test cross_generate_predictions and cancel cross_generate_predictions_depr
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- Add a proper log?
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- test LoadSamplesFromDirectory (in protocols.py)
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- improve plots?
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- I have removed the distinction between "classify" and "posterior_probabilities" in the Aggregative quantifiers,
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so that probabilistic classifiers actually return posterior probabilities, while non-probabilistic quantifiers
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return instead crisp decisions. The idea was to unify the quantification function (i.e., now it is always
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classify & aggregate, irrespective of the class). However, this has caused a problem with OneVsAll. This has to
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be checked, since it is now innecessarily complicated (it also has old references to .probabilistic, and all this
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stuff). |