Commit a58a6487 authored by lukas leufen's avatar lukas leufen 👻
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Merge branch 'master' into 'develop'

Master

See merge request !436
parents bd273da8 56e6b78a
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# Changelog
All notable changes to this project will be documented in this file.
## v2.1.0 - 2022-06-07 - new evaluation metrics and improved training
### general:
* new evaluation metrics, IOA and MNMB
* advanced train options for early stopping
* reduced execution time by refactoring
### new features:
* uncertainty estimation of MSE is now applied for each season separately (#374)
* added different configurations of early stopping to use either last trained or best epoch (#378)
* train monitoring plots now add a star for best epoch when using early stopping (#367)
* new evaluation metric index of agreement, IOA (#376)
* new evaluation metric modified normalised mean bias, MNMB (#380)
* new plot available that shows temporal evolution of MSE for each station (#381)
### technical:
* reduced loading of forecast path from data store (#328)
* bug fix for not catched error during transformation (#385)
* bug fix for data handler with climate and fir filter leading to calculate transformation always with fir filter (#387)
* improved duration for latex report creation at end of preprocessing (#388)
* enhanced speed for make prediction in postprocessing (#389)
* fix to always create version badge from version and not from tag name (#382)
## v2.0.0 - 2022-04-08 - tf2 usage, new model classes, and improved uncertainty estimate
### general:
......
......@@ -34,7 +34,7 @@ HPC systems, see [here](#special-instructions-for-installation-on-jülich-hpc-sy
* Installation of **MLAir**:
* Either clone MLAir from the [gitlab repository](https://gitlab.jsc.fz-juelich.de/esde/machine-learning/mlair.git)
and use it without installation (beside the requirements)
* or download the distribution file ([current version](https://gitlab.jsc.fz-juelich.de/esde/machine-learning/mlair/-/blob/master/dist/mlair-2.0.0-py3-none-any.whl))
* or download the distribution file ([current version](https://gitlab.jsc.fz-juelich.de/esde/machine-learning/mlair/-/blob/master/dist/mlair-2.1.0-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`.
......
......@@ -27,7 +27,7 @@ Installation of MLAir
* Install all requirements from `requirements.txt <https://gitlab.jsc.fz-juelich.de/esde/machine-learning/mlair/-/blob/master/requirements.txt>`_
preferably in a virtual environment
* Either clone MLAir from the `gitlab repository <https://gitlab.jsc.fz-juelich.de/esde/machine-learning/mlair.git>`_
* or download the distribution file (`current version <https://gitlab.jsc.fz-juelich.de/esde/machine-learning/mlair/-/blob/master/dist/mlair-2.0.0-py3-none-any.whl>`_)
* or download the distribution file (`current version <https://gitlab.jsc.fz-juelich.de/esde/machine-learning/mlair/-/blob/master/dist/mlair-2.1.0-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`.
......
__version_info__ = {
'major': 2,
'minor': 0,
'minor': 1,
'micro': 0,
}
......
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