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NEWS.md

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## Performance improvements
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- Significant speed-up for data objects with *single class "data.frame"*, i.e., no data.tables or tibbles or grouped data etc. This change makes it almost as fast to work with data.frames as with matrices.
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- Slight speed-up for single-output predictions.
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- Slight speed-up for factor-valued predictions.
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- Significant speed-up for pure data.frames, i.e., no data.tables or tibbles.
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- Some small performance improvements, e.g., for factor predictions and univariate predictions.
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- Slight speed-up of `permshap()` by caching calculations for the two special permutations of all 0 and all 1. Consequently, the `m_exact` component in the output is reduced by 2.
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## Documentation
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- Rewrote many examples in the README.
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- Added reference to Erik Strumbelj and Ivan Kononeko (2014).
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# kernelshap 0.4.0
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## Major changes

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