Bump version to 1.0.5

CHANGELOG.md

@@ -1,6 +1,16 @@
 # Changelog
 
-## [Unreleased]
+## [v1.0.5]
+
+### Added
+
+* Add `MajorityLabeler` to construct synthetic outlier datasets
+
+### Fixed
+
+* Fix bug in `IsolationShapeletForest` where `max_depth` was incorrectly computed
+
+## [v1.0.4]
 
 ### Added
 * Model agnostic counterfactual explanations has been added.
@@ -76,7 +86,7 @@
   `wildboar.ensemble.ShapeletForestRegressor` which allows for constructing
   shapelet forests for predicting real value outputs.
 
-### Fixes
+### Fixed
 
  * a6f656d Fix bug for strided labels not correctly accounted for
  * 321a04d Remove unused property `unscaled_threshold`

README.md

@@ -7,7 +7,7 @@
 
 [wildboar](https://isaksamsten.github.io/wildboar/) is a Python module for temporal machine learning and fast
 distance computations built on top of
-[SciKit-Learn](https://scikit-learn.org) and [Numpy](https://numpy.org)
+[scikit-learn](https://scikit-learn.org) and [numpy](https://numpy.org)
 distributed under the GNU General Public License Version 3.
 
 It is currently maintained by Isak Samsten
@@ -37,8 +37,8 @@ requires:
 
 ### Current version
 
-- Current release: 1.0.4
-- Current development release: 1.0.4dev
+- Current release: 1.0.5
+- Current development release: 1.0.5dev
 
 ### Binaries
 

wildboar/__init__.py

@@ -15,4 +15,4 @@
 #
 # Authors: Isak Samsten
 
-__version__ = "1.0.4dev"
+__version__ = "1.0.5"