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Commit 577a7d84 authored by lukas leufen's avatar lukas leufen
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Merge branch 'master' into 'develop'

include recent release into dev branch

See merge request !356
parents c8488f06 072aadc1
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6 merge requests!413update release branch,!412Resolve "release v2.0.0",!361name of pdf starts now with feature_importance, there is now also another...,!357update with current devs,!356include recent release into dev branch,!350Resolve "upgrade code to TensorFlow V2"
Pipeline #83250 passed
...@@ -14,6 +14,7 @@ vX.Y.Z ...@@ -14,6 +14,7 @@ vX.Y.Z
* [ ] Adjust `changelog.md` (see template for changelog) * [ ] Adjust `changelog.md` (see template for changelog)
* [ ] Update version number in `mlair/__ init__.py` * [ ] Update version number in `mlair/__ init__.py`
* [ ] Create new dist file: `python3 setup.py sdist bdist_wheel` * [ ] 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 `distribution file (current version)` in `README.md`
* [ ] Update file link in `docs/_source/installation.rst` * [ ] Update file link in `docs/_source/installation.rst`
* [ ] Commit + push * [ ] Commit + push
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# Changelog # Changelog
All notable changes to this project will be documented in this file. 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 - new uncertainty estimation
### 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: ### general:
* many technical adjustments to improve usability and transparency of MLAir * many technical adjustments to improve usability and transparency of MLAir
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...@@ -31,7 +31,7 @@ HPC systems, see [here](#special-instructions-for-installation-on-jülich-hpc-sy ...@@ -31,7 +31,7 @@ HPC systems, see [here](#special-instructions-for-installation-on-jülich-hpc-sy
* Installation of **MLAir**: * Installation of **MLAir**:
* Either clone MLAir from the [gitlab repository](https://gitlab.version.fz-juelich.de/toar/mlair.git) * Either clone MLAir from the [gitlab repository](https://gitlab.version.fz-juelich.de/toar/mlair.git)
and use it without installation (beside the requirements) 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 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`. 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 * (tf) Currently, TensorFlow-1.13 is mentioned in the requirements. We already tested the TensorFlow-1.15 version and couldn't
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File added
...@@ -26,7 +26,7 @@ Installation of MLAir ...@@ -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>`_ * Install all requirements from `requirements.txt <https://gitlab.version.fz-juelich.de/toar/machinelearningtools/-/blob/master/requirements.txt>`_
preferably in a virtual environment preferably in a virtual environment
* Either clone MLAir from the `gitlab repository <https://gitlab.version.fz-juelich.de/toar/machinelearningtools.git>`_ * 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 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`. 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 * (tf) Currently, TensorFlow-1.13 is mentioned in the requirements. We already tested the TensorFlow-1.15 version and couldn't
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__version_info__ = { __version_info__ = {
'major': 1, 'major': 1,
'minor': 4, 'minor': 5,
'micro': 0, 'micro': 0,
} }
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