Prep for release

scienxlab · Apr 21, 2024 · 43a8ce9 · 43a8ce9
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diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -1,12 +1,13 @@
 # Changelog
 
 
-## 0.4.3, coming April 2024
+## 0.5.0, 21 April 2024
 
-- This is a minor release making more changes to the tests and documentation in reponse to the review process for [the submission](https://joss.theoj.org/papers/e1ca575ec0c5344144f87176539ef547) to JOSS (see below).
+- This release makes more changes to the tests and documentation in reponse to the review process for [the submission](https://joss.theoj.org/papers/e1ca575ec0c5344144f87176539ef547) to JOSS (see below).
 - In particular, see the following issue: [#97](https://github.com/scienxlab/redflag/issues/97)
-- Changed the method of handling dynamic versioning. For now the package `__version__` attribute is still defined, but it is deprecated and will be removed in `0.5.0`. Use `from importlib.metadata.version('redflag')` to get the version information instead.
+- Changed the method of handling dynamic versioning. For now the package `__version__` attribute is still defined, but it is deprecated and will be removed in `0.6.0`. Use `from importlib.metadata.version('redflag')` to get the version information instead.
 - Changed the default `get_outliers()` method from isolation forest (`'iso'`) to Mahalanobis (`'mah'`) to match other functions, eg `has_outliers()` and the `sklearn` pipeline object.
+- Updated `actions/setup-python` to use v5.
 
 
 ## 0.4.2, 10 December 2023

diff --git a/src/redflag/__init__.py b/src/redflag/__init__.py
@@ -18,7 +18,7 @@
 # information from the package metadata directly, eg by using
 # importlib.metadata.version (see below).
 #
-# This will be deprecated in v0.5.0 but for now we do this:
+# This will be deprecated in v0.6.0 but for now we do this:
 #
 from importlib.metadata import version
 __version__ = version(__package__ or __name__)
diff --git a/src/redflag/outliers.py b/src/redflag/outliers.py
@@ -133,7 +133,7 @@ def mahalanobis_outliers(X: ArrayLike,
 
 
 def get_outliers(a: ArrayLike,
-                 method: Optional[str]=None, # Can change to 'mah' in 0.5.0.
+                 method: Optional[str]=None, # Can change to 'mah' in 0.6.0.
                  p: float=0.99,
                  threshold: Optional[float]=None,
                  ) -> np.ndarray: