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Commit 342f08cb authored by lukas leufen's avatar lukas leufen
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Merge branch 'release_v1.4.0' into 'develop'

Release v1.4.0

See merge request !322
parents f7970fb3 69ad27e0
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6 merge requests!353add developments to release v1.5.0,!352Resolve "release v1.5.0",!343Update wrf with develop,!342Include sample-uncertainty to wrf workflow,!322Release v1.4.0,!259Draft: Resolve "WRF-Datahandler should inherit from SingleStationDatahandler"
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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>
### general:
* many technical adjustments to improve usability and transparency of MLAir
* new FCN and CNN classes for easy NN model creation
* new plots
### new features:
* new FCN class that can be customized in many ways (#284)
* also new CNN class (#289)
* added new bootstrap analysis method: mean bootstrapping (#300)
* new data handler using FIR filters (#306)
* performance measures are now stored in local files (#286)
* histogram plots for inputs and targets (#299)
* periodogram plots for filtered data (#298)
### technical:
* a calling run script can be stored inside experiment folder if reference to this script is parsed as argument (#99)
* new callback to track epoch-runtime (#312)
* added switch to use multiprocessing (#297)
* customize maximum number of parallel processes (#308)
* support non-monotonic window lead times (#313)
* resolved bug with FileExistsError (#311)
* resolved bug if no chemical is used at all (#307)
* min/max scaler now scales between -1 and 1 (#302)
* added missing offset parameter to some data handlers (#305)
* improved data store logging (#304)
* improved logging message on station removal in preprocessing (#294)
* limited number of retries in JOIN module (#296)
* adjusted competing skill score plot (#301)
* transformation parameter check (#295)
* implemented lazy data preprocessing for selected data handlers (#292)
* fix bug in separation of scales data handler (#290)
## v1.3.0 - 2021-02-24 - competitors and improved transformation ## v1.3.0 - 2021-02-24 - competitors and improved transformation
### general: ### general:
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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-1.3.0-py3-none-any.whl)) * or download the distribution file ([current version](https://gitlab.version.fz-juelich.de/toar/mlair/-/blob/master/dist/mlair-1.4.0-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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...@@ -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-1.3.0-py3-none-any.whl>`_) * or download the distribution file (`current version <https://gitlab.version.fz-juelich.de/toar/mlair/-/blob/master/dist/mlair-1.4.0-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': 3, 'minor': 4,
'micro': 0, 'micro': 0,
} }
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