release: v2.0.1

eonu · Apr 2, 2024 · 5062288 · 5062288
2 parents b1aeb60 + f3b0ab0
commit 5062288
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diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -388,6 +388,12 @@ Nothing, initial release!
 
 </details>
 
+## [v2.0.1](https://github.com/eonu/sequentia/releases/tag/v2.0.1) - 2024-04-02
+
+### Bug Fixes
+
+- use log probs for `KNNClassifier.predict_log_proba` ([#247](https://github.com/eonu/sequentia/issues/247))
+
 ## [v2.0.0](https://github.com/eonu/sequentia/releases/tag/v2.0.0) - 2024-04-01
 
 ### Refactor

diff --git a/docs/source/conf.py b/docs/source/conf.py
@@ -23,7 +23,7 @@
 project = "sequentia"
 copyright = "2019-2025, Sequentia Developers"  # noqa: A001
 author = "Edwin Onuonga (eonu)"
-release = "2.0.0"
+release = "2.0.1"
 
 # -- General configuration ---------------------------------------------------
 

diff --git a/pyproject.toml b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "sequentia"
-version = "2.0.0"
+version = "2.0.1"
 license = "MIT"
 authors = ["Edwin Onuonga <ed@eonu.net>"]
 maintainers = ["Edwin Onuonga <ed@eonu.net>"]

diff --git a/sequentia/models/knn/classifier.py b/sequentia/models/knn/classifier.py
@@ -297,7 +297,7 @@ def predict_log_proba(
         -----
         This method requires a trained classifier — see :func:`fit`.
         """
-        return np.log(self.predict_scores(X, lengths=lengths))
+        return np.log(self.predict_proba(X, lengths=lengths))
 
     @_validation.requires_fit
     def predict_proba(

diff --git a/sequentia/version.py b/sequentia/version.py
@@ -33,7 +33,7 @@
 
 __all__ = ["VERSION", "version_info"]
 
-VERSION = "2.0.0"
+VERSION = "2.0.1"
 
 
 def version_info() -> str: