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Commit 6e0919f7 authored by lukas leufen's avatar lukas leufen
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Merge branch 'master' into 'develop'

update changelog in develop

See merge request !282
parents b03d9577 01ac28b2
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7 merge requests!319add all changes of dev into release v1.4.0 branch,!318Resolve "release v1.4.0",!299Draft: Merge default data handler and preprocessing support parameter use_multiprocessing....,!284default data handler and preprocessing support parameter use_multiprocessing....,!283Merge latest develop into falcos issue,!282update changelog in develop,!259Draft: Resolve "WRF-Datahandler should inherit from SingleStationDatahandler"
Pipeline #64574 passed
......@@ -15,7 +15,7 @@ vX.Y.Z
* [ ] Update version number in `mlair/__ init__.py`
* [ ] Create new dist file: `python3 setup.py sdist bdist_wheel`
* [ ] Update file link `distribution file (current version)` in `README.md`
* [ ] Update file link in `docs/_source/get-started.rst`
* [ ] Update file link in `docs/_source/installation.rst`
* [ ] Commit + push
* [ ] Merge `release_vX.Y.Z` into `master`
* [ ] Create new tag with
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# Changelog
All notable changes to this project will be documented in this file.
## v1.3.0 - 2021-02-24 - competitors and improved transformation
### general:
* release of official MLAir logo (#274)
* new transformation schema for better independence of MLAir and data handler (#272)
* competing models can be included in postprocessing for direct comparison (#198)
### new features:
* new helper functions for geographic issues (#280)
* default data handler and inheritances can use min/max and log transformation (#276, #275)
* include IntelliO3-ts model as reference via automatic download (#131)
### technical:
* experiment name now always includes target sampling type (#263)
* competitive skill score plot is refactored (#260)
* bug fix for climatological skill scores (#259)
* bug fix for custom objects handling (#277)
* bug fix for monitoring plots when multiple output branches are used (#278)
* update requirements to newer version and dependencies (#262, #273)
* HPC scripts are updated to work properly with parallel data processing (#281)
## v1.2.1 - 2021-02-08 - bug fix for recursive import error
### general:
......@@ -9,7 +30,7 @@ All notable changes to this project will be documented in this file.
### technical:
* bug fix for recursive import error, #269
* bug fix for recursive import error, (#269)
## v1.2.0 - 2020-12-18 - parallel preprocessing and improved data handlers
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......@@ -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-1.2.1-py3-none-any.whl))
* or download the distribution file ([current version](https://gitlab.version.fz-juelich.de/toar/mlair/-/blob/master/dist/mlair-1.3.0-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
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File added
......@@ -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-1.2.0-py3-none-any.whl>`_)
* or download the distribution file (`current version <https://gitlab.version.fz-juelich.de/toar/mlair/-/blob/master/dist/mlair-1.3.0-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
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__version_info__ = {
'major': 1,
'minor': 2,
'micro': 1,
'minor': 3,
'micro': 0,
}
from mlair.run_modules import RunEnvironment, ExperimentSetup, PreProcessing, ModelSetup, Training, PostProcessing
......
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