From e74f0a2bf18f0f5a8a7d9be53af85b3a5fe52a43 Mon Sep 17 00:00:00 2001 From: Isak Samsten Date: Wed, 10 Feb 2021 10:45:17 +0100 Subject: [PATCH] Bump version to 1.0.5 --- CHANGELOG.md | 14 ++++++++++++-- README.md | 6 +++--- wildboar/__init__.py | 2 +- 3 files changed, 16 insertions(+), 6 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 66e4aa6ce3..8e633a4594 100644 --- a/CHANGELOG.md +++ b/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` diff --git a/README.md b/README.md index ef18093bc2..e23da630a9 100644 --- a/README.md +++ b/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 diff --git a/wildboar/__init__.py b/wildboar/__init__.py index 20e7e379fa..32c4cbd1b4 100644 --- a/wildboar/__init__.py +++ b/wildboar/__init__.py @@ -15,4 +15,4 @@ # # Authors: Isak Samsten -__version__ = "1.0.4dev" +__version__ = "1.0.5"