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setup for next dev version
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rasbt committed Dec 22, 2017
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20 changes: 17 additions & 3 deletions docs/sources/CHANGELOG.md
Expand Up @@ -7,7 +7,23 @@ The CHANGELOG for the current development version is available at

---

### Version 0.10.1dev

##### Downloads

- [Source code (zip)](https://github.com/rasbt/mlxtend/archive/v0.10.1.zip)
- [Source code (tar.gz)](https://github.com/rasbt/mlxtend/archive/v0.10.1.tar.gz)

##### New Features

- -

##### Changes

- -
##### Bug Fixes

- -



Expand All @@ -21,9 +37,7 @@ The CHANGELOG for the current development version is available at
##### New Features

- New `store_train_meta_features` parameter for `fit` in StackingCVRegressor. if True, train meta-features are stored in `self.train_meta_features_`.
New `pred_meta_features` method for `StackingCVRegressor`. People can get test meta-features using this method. ([#294](https://github.com/rasbt/mlxtend/pull/294)

via [takashioya](https://github.com/takashioya))
New `pred_meta_features` method for `StackingCVRegressor`. People can get test meta-features using this method. ([#294](https://github.com/rasbt/mlxtend/pull/294) via [takashioya](https://github.com/takashioya))
- The new `store_train_meta_features` attribute and `pred_meta_features` method for the `StackingCVRegressor` were also added to the `StackingRegressor`, `StackingClassifier`, and `StackingCVClassifier` ([#299](https://github.com/rasbt/mlxtend/pull/299) & [#300](https://github.com/rasbt/mlxtend/pull/300))
- New function (`evaluate.mcnemar_tables`) for creating multiple 2x2 contigency from model predictions arrays that can be used in multiple McNemar (post-hoc) tests or Cochran's Q or F tests, etc. ([#307](https://github.com/rasbt/mlxtend/issues/307))
- New function (`evaluate.cochrans_q`) for performing Cochran's Q test to compare the accuracy of multiple classifiers. ([#310](https://github.com/rasbt/mlxtend/issues/310))
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2 changes: 1 addition & 1 deletion mlxtend/__init__.py
Expand Up @@ -4,4 +4,4 @@
#
# License: BSD 3 clause

__version__ = '0.10.0'
__version__ = '0.10.1dev'

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