Merge branch 'release_v1.2.1' into 'master'

Resolve "release v.1.2.1 (bugfix)"

Closes #270

See merge request toar/mlair!234

CHANGELOG.md

 # Changelog
 All notable changes to this project will be documented in this file.
 
+## v1.2.1 -  2021-02-08  - bug fix for recursive import error
+
+### general:
+
+* applied bug fix
+
+### technical:
+
+* bug fix for recursive import error, #269
+
 ## v1.2.0 -  2020-12-18  - parallel preprocessing and improved data handlers
 
 ### general:

README.md

@@ -29,7 +29,7 @@ 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-1.2.0-py3-none-any.whl)) 
+    * or download the distribution file ([current version](https://gitlab.version.fz-juelich.de/toar/mlair/-/blob/master/dist/mlair-1.2.1-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/get-started.rst

@@ -31,7 +31,7 @@ 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-1.2.1-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': 2,
-    'micro': 0,
+    'micro': 1,
 }
 
 from mlair.run_modules import RunEnvironment, ExperimentSetup, PreProcessing, ModelSetup, Training, PostProcessing

mlair/plotting/training_monitoring.py

@@ -12,7 +12,7 @@ import pandas as pd
 
 from mlair.model_modules.keras_extensions import LearningRateDecay
 
-matplotlib.use('Agg')
+# matplotlib.use('Agg')
 history_object = Union[Dict, keras.callbacks.History]
 lr_object = Union[Dict, LearningRateDecay]