updated version number, changelog, readme and docs and added dist file

.gitlab/issue_templates/release.md

@@ -14,6 +14,7 @@ vX.Y.Z
 * [ ] Adjust `changelog.md` (see template for changelog)
 * [ ] Update version number in `mlair/__ init__.py`
 * [ ] Create new dist file: `python3 setup.py sdist bdist_wheel`
+* [ ] Add new dist file `mlair-X.Y.Z-py3-none-any.whl` to git
 * [ ] Update file link `distribution file (current version)` in `README.md`
 * [ ] Update file link in `docs/_source/installation.rst`
 * [ ] Commit + push

CHANGELOG.md

 # Changelog
 All notable changes to this project will be documented in this file.
 
-## v1.4.0 -  2021-07-27  - <release description>
+## v1.5.0 -  2021-11-11  - <release description>
+
+### general:
+* introduces method to estimate sample uncertainty
+* improved multiprocessing
+* last release with tensorflow v1 support
+
+### new features:
+* test set sample uncertainty estmation during postprocessing (#333)
+* support of Kolmogorov Zurbenko filter for data handlers with filters (#334)
+
+### technical:
+* new communication scheme for multiprocessing (#321, #322)
+* improved error reporting (#323)
+* feature importance returns now unaggregated results (#335)
+* error metrics are reported for all competitors (#332)
+* minor bugfixes and refacs (#330, #326, #329, #325, #324, #320, #337)
+
+## v1.4.0 -  2021-07-27  - new model classes and data handlers, improved usability and transparency 
 
 ### general:
 * many technical adjustments to improve usability and transparency of MLAir

README.md

@@ -31,7 +31,7 @@ HPC systems, see [here](#special-instructions-for-installation-on-jülich-hpc-sy
 * Installation of **MLAir**:
     * Either clone MLAir from the [gitlab repository](https://gitlab.version.fz-juelich.de/toar/mlair.git) 
       and use it without installation (beside the requirements) 
-    * or download the distribution file ([current version](https://gitlab.version.fz-juelich.de/toar/mlair/-/blob/master/dist/mlair-1.4.0-py3-none-any.whl)) 
+    * or download the distribution file ([current version](https://gitlab.version.fz-juelich.de/toar/mlair/-/blob/master/dist/mlair-1.5.0-py3-none-any.whl)) 
       and install it via `pip install <dist_file>.whl`. In this case, you can simply import MLAir in any python script 
       inside your virtual environment using `import mlair`.
 * (tf) Currently, TensorFlow-1.13 is mentioned in the requirements. We already tested the TensorFlow-1.15 version and couldn't

docs/_source/installation.rst

@@ -26,7 +26,7 @@ Installation of MLAir
 * Install all requirements from `requirements.txt <https://gitlab.version.fz-juelich.de/toar/machinelearningtools/-/blob/master/requirements.txt>`_
   preferably in a virtual environment
 * Either clone MLAir from the `gitlab repository <https://gitlab.version.fz-juelich.de/toar/machinelearningtools.git>`_
-* or download the distribution file (`current version <https://gitlab.version.fz-juelich.de/toar/mlair/-/blob/master/dist/mlair-1.4.0-py3-none-any.whl>`_)
+* or download the distribution file (`current version <https://gitlab.version.fz-juelich.de/toar/mlair/-/blob/master/dist/mlair-1.5.0-py3-none-any.whl>`_)
   and install it via :py:`pip install <dist_file>.whl`. In this case, you can simply
   import MLAir in any python script inside your virtual environment using :py:`import mlair`.
 * (tf) Currently, TensorFlow-1.13 is mentioned in the requirements. We already tested the TensorFlow-1.15 version and couldn't

mlair/__init__.py

 __version_info__ = {
     'major': 1,
-    'minor': 4,
+    'minor': 5,
     'micro': 0,
 }