0.2.0

Automatically generated by python-semantic-release

CHANGELOG.md

@@ -2,6 +2,17 @@
 
 <!--next-version-placeholder-->
 
+## v0.2.0 (2022-12-22)
+### Feature
+* **data_types:** Introduce data_types module for more convenient coding and reading ([`38d2a8b`](https://gitlab1.ptb.de/ludwig10_masters_thesis/ilp_nn_robustness_verification/-/commit/38d2a8bfd5aa243a5c2b99b73dd99d7d635a80c5))
+* **activation_functions:** Introduce activation functions module ([`0063913`](https://gitlab1.ptb.de/ludwig10_masters_thesis/ilp_nn_robustness_verification/-/commit/0063913bafe201914a797fb860065add70f23003))
+* **pre_processing:** Introduce pre-processing module to prepare optimization ([`51e49c1`](https://gitlab1.ptb.de/ludwig10_masters_thesis/ilp_nn_robustness_verification/-/commit/51e49c13f966425d0d75f71fcfcabc9aa41036b3))
+* **uncertain_inputs:** Introduce data_acquisition's uncertain_inputs module to prepare data for optimization ([`5f98caa`](https://gitlab1.ptb.de/ludwig10_masters_thesis/ilp_nn_robustness_verification/-/commit/5f98caa5b25bb59c5fd0bdb93c2ecea3fff53b33))
+
+### Documentation
+* **README:** Remove coverage badge as we cannot test and compute coverage on GitLab yet ([`486e3c0`](https://gitlab1.ptb.de/ludwig10_masters_thesis/ilp_nn_robustness_verification/-/commit/486e3c056c31ae50727008522f6c1cfe43c7b349))
+* **uncertain_inputs:** Introduce all pre_processing related modules into docs ([`bfdccea`](https://gitlab1.ptb.de/ludwig10_masters_thesis/ilp_nn_robustness_verification/-/commit/bfdccea747b0469ca5fd0fff185bc1b960b2674a))
+
 ## v0.1.0 (2022-12-21)
 ### Feature
 * Introduce first draft of package structure and docs ([`dcc4bd1`](https://gitlab1.ptb.de/ludwig10_masters_thesis/ilp_nn_robustness_verification/-/commit/dcc4bd18f76b2f8450e687b8c8fb73e4984e3354))

docs/conf.py

@@ -149,7 +149,7 @@ author = "B. Ludwig"
 # built documents.K
 #
 # The short X.Y version.
-version = "0.1.0"
+version = "0.2.0"
 # The full version, including alpha/beta/rc tags.
 # release = "1.3.1"
 

pyproject.toml

@@ -21,7 +21,7 @@ classifiers = [
     "Topic :: Scientific/Engineering :: Mathematics",
     "Topic :: Scientific/Engineering :: Artificial Intelligence",
 ]
-version = "0.1.0"
+version = "0.2.0"
 dependencies = [
     "numpy",
     "pyinterval",