Made pre-release version specification comply with PEP 440,

setting current version to 1.0.0b1

.bumpversion.cfg

@@ -1,18 +1,18 @@
 [bumpversion]
-current_version = 1.0.0.alpha1
+current_version = 1.0.0b1
 commit = False
 tag = False
 allow_dirty = False
-parse = (?P<major>\d+)\.(?P<minor>\d+)\.(?P<patch>\d+)(\.(?P<release>[a-z]+)(?P<build>\d+))?
+parse = (?P<major>\d+)\.(?P<minor>\d+)\.(?P<patch>\d+)((?P<release>[a-z]+)(?P<build>\d+))?
 serialize = 
-	{major}.{minor}.{patch}.{release}{build}
+	{major}.{minor}.{patch}{release}{build}
 	{major}.{minor}.{patch}
 
 [bumpversion:part:release]
 optional_value = final
-first_value = alpha
+first_value = b
 values = 
-	alpha
+	b
 	final
 
 [bumpversion:part:build]

README-dev.md

@@ -67,13 +67,13 @@ Results will be stored in `docs/build/`.
 
 2. Bump the version that the new release shall change by using one of the following commands:
 
-   * `bumpversion patch  --commit`
+   * `bumpversion patch --commit`
    * `bumpversion minor --commit`
    * `bumpversion major --commit`
 
-   This will create a new "-alpha" version which can be pushed without a release ending up on PyPI.
+   This will create a new beta version.
 
-   If you want to release an alpha version, you may change the build number via `bumpversion build --commit`. 
+   If you intend to release a beta version, you may change the build number via `bumpversion build --commit`. 
 
 3. Push this version to github
    `git push`
@@ -84,7 +84,7 @@ Results will be stored in `docs/build/`.
    * Set the release version and add the respective git tag:
      `bumpversion release --commit --tag`
 
-     (unless you want to publish the alpha version, in which case you need create the git tag manually.)
+     (unless you want to publish a beta version, in which case you need to skip this command and instead create the git tag manually.)
 
    * Push the new release:
      * `git push`

setup.py

@@ -67,7 +67,7 @@ def relaxed_requirements_from_file(path):
     url="https://github.com/jambit/sensAI",
     packages=find_namespace_packages(where="src"),
     include_package_data=True,
-    version='1.0.0.alpha1',
+    version='1.0.0b1',
     description='Library for sensible AI',
     install_requires=relaxed_requirements_from_file("requirements.txt"),
     dependency_links=["https://download.pytorch.org/whl/torch_stable.html"],

src/sensai/__init__.py

@@ -16,7 +16,7 @@
     TensorToTensorClassificationModel, TensorToScalarClassificationModel
 from .vector_model import VectorModelBase, VectorModel, VectorRegressionModel, VectorClassificationModel
 
-__version__ = "1.0.0.alpha1"
+__version__ = "1.0.0b1"
 
 # The following submodules are not imported by default to avoid necessarily requiring their dependencies:
 # tensorflow