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Merge pull request #91 from ealcobaca/0.3.x
New Version 0.3.0
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.travis.yml

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on_failure: never
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after_success:
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- codecov
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- bash <(curl -s https://codecov.io/bash)

docs/source/new.rst

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.. _GitHub: https://github.com/ealcobaca/pymfe/releases
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Version 0.2.0
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-------------
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Version 0.3.0 (Available on PyPI)
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---------------------------------
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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
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a consistent format (all model-based metafeatures now receive a single
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mandatory argument 'dt_model', and all other arguments are optional
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arguments from precomputations.) Now it is much easier to use those
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methods directly without the main class (mfe) filter, if desired.
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* Now accepting user custom arguments in precomputation methods.
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* Added 'extract_from_model' MFE method, making easy to extract model-based
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metafeatures from a pre-fitted model without using the training data.
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* Memory issues
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* Now handling memory errors in precomputations, postcomputations and
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metafeature extraction as a regular exception.
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* Categorical attributes one-hot encoding option
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* Added option to encode categorical attributes using one-hot encoding
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instead of the current gray encoding.
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* New nan-resilient summary functions
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* All summary functions now can be calculated ignoring 'nan' values, using
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its nan-resilient version.
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* Online documentation improvement
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Version 0.2.0 (Available on PyPI)
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---------------------------------
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* New meta-feature groups
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* Complexity
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* Statistical group updated
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Version 0.1.1
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-------------
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Version 0.1.1 (Available on PyPI)
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---------------------------------
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* Bugs solved
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* False positive of mypy fixed

pymfe/_version.py

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# Dev branch marker is: 'X.Y.dev' or 'X.Y.devN' where N is an integer.
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# 'X.Y.dev0' is the canonical version of 'X.Y.dev'
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__version__ = '0.3.a0'
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__version__ = '0.3.0'

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