diff --git a/CHANGELOG.md b/CHANGELOG.md
index 4f59375d8ee3c245e7d8008e7e8c6d6ff13b3d96..d3989b65d2206d26aff9778582ef99014e45ce2f 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,6 +1,16 @@
 # 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:
diff --git a/README.md b/README.md
index c48b7cdb44b6f98a6a1f12a81c0a4717cc1e0d41..ba904e9efb2418a27b2810b762692538ddc956f3 100644
--- a/README.md
+++ b/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
diff --git a/dist/mlair-1.2.1-py3-none-any.whl b/dist/mlair-1.2.1-py3-none-any.whl
new file mode 100644
index 0000000000000000000000000000000000000000..686330f087aed80c9d9e86d77332a8c8ae1f96d3
Binary files /dev/null and b/dist/mlair-1.2.1-py3-none-any.whl differ
diff --git a/docs/_source/get-started.rst b/docs/_source/get-started.rst
index ede3cebfb7e1d9f673da3751c0cc2ab4dfba12ea..880a400b28a74529dbf3af53485b75b4169dc511 100644
--- a/docs/_source/get-started.rst
+++ b/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
diff --git a/mlair/__init__.py b/mlair/__init__.py
index e9a157ca5bba11b22e80df0f3f18092fb0f32db6..e8ad9509e3fb90826c862d1a17641df071168b18 100644
--- a/mlair/__init__.py
+++ b/mlair/__init__.py
@@ -1,7 +1,7 @@
 __version_info__ = {
     'major': 1,
     'minor': 2,
-    'micro': 0,
+    'micro': 1,
 }
 
 from mlair.run_modules import RunEnvironment, ExperimentSetup, PreProcessing, ModelSetup, Training, PostProcessing
diff --git a/mlair/plotting/training_monitoring.py b/mlair/plotting/training_monitoring.py
index 913c11dd8a4e0d23c2bde6864c12f17c65922644..09f49c848675eb21bd172e40b09b265e47c443fb 100644
--- a/mlair/plotting/training_monitoring.py
+++ b/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]