Releases: ealcobaca/pymfe
0.4.3
0.4.2
0.4.1
0.4
July, 2020
- New examples
- Support to python 3.8
- New README
- New documentation style
- New complexity meta-features
- New feature encoding: gray, one-hot-encoding(k), one-hot-encoding(k-1)
- Special treatment for attr_conc's 'max_attr_num' parameter
- Metafeature extraction with confidence intervals
- Summary updates and new summary functions
- Some bug fix
0.3.0
May, 2020
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Metafeature extraction with confidence intervals
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Pydoc fixes and package documentation/code consistency improvements
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Reformatted 'model-based' group metafeature extraction methods arguments to
a consistent format (all model-based metafeatures now receive a single
mandatory argument 'dt_model', and all other arguments are optional
arguments from precomputations.) Now it is much easier to use those
methods directly without the main class (mfe) filter, if desired. -
Now accepting user custom arguments in precomputation methods.
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Added 'extract_from_model' MFE method, making easy to extract model-based
metafeatures from a pre-fitted model without using the training data.
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Memory issues
- Now handling memory errors in precomputations, postcomputations and
metafeature extraction as a regular exception.
- Now handling memory errors in precomputations, postcomputations and
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Categorical attributes one-hot encoding option
- Added option to encode categorical attributes using one-hot encoding
instead of the current gray encoding.
- Added option to encode categorical attributes using one-hot encoding
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New nan-resilient summary functions
- All summary functions now can be calculated ignoring 'nan' values, using
its nan-resilient version.
- All summary functions now can be calculated ignoring 'nan' values, using
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Online documentation improvement
0.2.0
December, 2019
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New meta-feature groups
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Complexity
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Itemset
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Concept
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New feature in MFE to list meta-feature description and references
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Dev class update
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Integration, system tests, tests updates
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Old module reviews
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Docstring improvement
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Online documentation improvement
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Clustering group updated
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Landmarking group updated
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Statistical group updated
0.1.1
November, 2019
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Bugs solved
- False positive of mypy fixed
- Contributing link now is working
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We added a note about how to add a new meta-feature
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Modified ‘verbosity’ (from ‘extract’ method) argument type from boolean to an integer. Now the user can choose the desired level of verbosity.
0.1.0
September, 2019
New Metafeatures
- Relative landmarking
- Clustering-based
- Relative subsampling landmarking
- Makefile to help developers
New Functionalities
- Now you can list available groups
- Now you can list available metafeatures
Documentation
- New examples
- New README
Bugs
- Problems in parse categoric metafeatures solved
- Categorization of attributes with constant values solved
Test
- Several new tests added