What is new on PyMFE package?
The PyMFE releases are available in PyPI and GitHub.
Version 0.3.0
Metafeature extraction with confidence intervals
Pydoc fixes and package documentation/code consistency improvements
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.
Added ‘extract_from_model’ MFE method, making easy to extract model-based metafeatures from a pre-fitted model without using the training data.
Memory issues
Now handling memory errors in precomputations, postcomputations and metafeature extraction as a regular exception.
Categorical attributes one-hot encoding option
Added option to encode categorical attributes using one-hot encoding instead of the current gray encoding.
New nan-resilient summary functions
All summary functions now can be calculated ignoring ‘nan’ values, using its nan-resilient version.
Online documentation improvement
Version 0.2.0
New meta-feature groups
Complexity
Itemset
Concept
New feature in MFE to list meta-feature description and references
Dev class update
Integration, system tests, tests updates
Old module reviews
Docstring improvement
Online documentation improvement
Clustering group updated
Landmarking group updated
Statistical group updated
Version 0.1.1
Bugs solved
False positive of mypy fixed
Contributing link now is working
We added a note about how to add a new meta-feature
Modified ‘verbosity’ (from ‘extract’ method) argument type from boolean to integer. Now the user can choose the desired level of verbosity. Verbosity = 1 means that a progress bar will be shown during the meta-feature extraction process. Verbosity = 2 maintains all the previous verbose messages (i.e., it logs every “extract” step) plus additional information about the current percentage of progress done so far.
Version 0.1.0
Meta-feature groups available
Relative landmarking
Clustering-based
Relative subsampling landmarking
Makefile to help developers
New Functionalities
Now you can list available groups
Now you can list available meta-features
Documentation
New examples
New README
Bugs
Problems in parse categoric meta-features solved
Categorization of attributes with constant values solved
Test
Several new tests added
Version 0.0.3
Documentation improvement
Setup improvement
Meta-feature groups available:
Simple
Statistical
Information-theoretic
Model-based
Landmarking