May, 2020
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* 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