From 3fdda7382b7fcdb18d69a5b560dabf9a7a587324 Mon Sep 17 00:00:00 2001 From: johannfaouzi Date: Sun, 18 Jun 2023 10:08:50 +0200 Subject: [PATCH] Release of version 0.13.0 --- doc/reproducibility.rst | 40 ++++++++++++++++++++-------------------- pyts/__init__.py | 2 +- 2 files changed, 21 insertions(+), 21 deletions(-) diff --git a/doc/reproducibility.rst b/doc/reproducibility.rst index 7255140..527ac6d 100644 --- a/doc/reproducibility.rst +++ b/doc/reproducibility.rst @@ -81,7 +81,7 @@ The metrics used are: * Dynamic Time Warping (DTW), and * Dynamic Time Warping with a learned warping window (DTW(w)). -`Link to the notebook `__ +`Link to the notebook `__ +------------------+---------------+-----------+----------------+------------+-------------------+----------------+ | Name | ED (reported) | ED (pyts) | DTW (reported) | DTW (pyts) | DTW(w) (reported) | DTW(w) (pyts) | @@ -103,7 +103,7 @@ The metrics used are: Bag-of-Patterns transformer followed by a 1NN classifier using Euclidean distance ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -`Link to the notebook `__ +`Link to the notebook `__ +------------------+----------------------------+------------------------+ | Name | Bag-of-Patterns (reported) | Bag-of-Patterns (pyts) | @@ -125,7 +125,7 @@ Bag-of-Patterns transformer followed by a 1NN classifier using Euclidean distanc BOSS transformer followed by a 1NN classifier using the BOSS metric ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -`Link to the notebook `__ +`Link to the notebook `__ +------------------+-----------------+-------------+ | Name | BOSS (reported) | BOSS (pyts) | @@ -147,7 +147,7 @@ BOSS transformer followed by a 1NN classifier using the BOSS metric BOSSVS classifier ^^^^^^^^^^^^^^^^^ -`Link to the notebook `__ +`Link to the notebook `__ +------------------+-------------------+---------------+ | Name | BOSSVS (reported) | BOSSVS (pyts) | @@ -169,20 +169,20 @@ BOSSVS classifier Learning-Shapelet classifier ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -`Link to the notebook `__ +`Link to the notebook `__ +------------------+------------------------------+--------------------------+ | Name | LearningShapelet (reported) | LearningShapelet (pyts) | +==================+==============================+==========================+ -| Adiac | 0.5274 | 0.527 | +| Adiac | 0.5274 | 0.537 | +------------------+------------------------------+--------------------------+ | ECG200 | 0.8714 | 0.860 | +------------------+------------------------------+--------------------------+ -| GunPoint | 0.9826 | 0.987 | +| GunPoint | 0.9826 | 0.973 | +------------------+------------------------------+--------------------------+ -| MiddlePhalanxTW | 0.5403 | 0.552 | +| MiddlePhalanxTW | 0.5403 | 0.494 | +------------------+------------------------------+--------------------------+ -| Plane | 0.9948 | 0.990 | +| Plane | 0.9948 | 0.981 | +------------------+------------------------------+--------------------------+ | SyntheticControl | 0.9946 | 0.990 | +------------------+------------------------------+--------------------------+ @@ -191,29 +191,29 @@ Learning-Shapelet classifier ROCKET transformer followed by a Ridge Classifier with built-in cross-validation ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -`Link to the notebook `__ +`Link to the notebook `__ +------------------+------------------------------+--------------------------+ | Name | ROCKET (reported) | ROCKET (pyts) | +==================+==============================+==========================+ -| Adiac | 0.7847 | 0.785 | +| Adiac | 0.7847 | 0.808 | +------------------+------------------------------+--------------------------+ -| ECG200 | 0.9060 | 0.910 | +| ECG200 | 0.9060 | 0.850 | +------------------+------------------------------+--------------------------+ -| GunPoint | 1.0000 | 1.000 | +| GunPoint | 1.0000 | 0.987 | +------------------+------------------------------+--------------------------+ -| MiddlePhalanxTW | 0.5558 | 0.565 | +| MiddlePhalanxTW | 0.5558 | 0.571 | +------------------+------------------------------+--------------------------+ | Plane | 1.0000 | 1.000 | +------------------+------------------------------+--------------------------+ -| SyntheticControl | 0.8733 | 1.000 | +| SyntheticControl | 0.8733 | 0.983 | +------------------+------------------------------+--------------------------+ SAXVSM classifier ^^^^^^^^^^^^^^^^^ -`Link to the notebook `__ +`Link to the notebook `__ +------------------+------------------------------+--------------------------+ | Name | SAXVSM (reported) | SAXVSM (pyts) | @@ -235,7 +235,7 @@ SAXVSM classifier ShapeletTransform transformer followed by a Support Vector Machine with a linear kernel ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -`Link to the notebook `__ +`Link to the notebook `__ +------------------+------------------------------+--------------------------+ | Name | ShapeletTransform (reported) | ShapeletTransform (pyts) | @@ -257,7 +257,7 @@ ShapeletTransform transformer followed by a Support Vector Machine with a linear TimeSeriesForest classifier ^^^^^^^^^^^^^^^^^^^^^^^^^^^ -`Link to the notebook `__ +`Link to the notebook `__ +------------------+------------------------------+--------------------------+ | Name | TimeSeriesForest (reported) | TimeSeriesForest (pyts) | @@ -279,7 +279,7 @@ TimeSeriesForest classifier TSBF classifier ^^^^^^^^^^^^^^^ -`Link to the notebook `__ +`Link to the notebook `__ +------------------+------------------------------+--------------------------+ | Name | TSBF (reported) | TSBF (pyts) | @@ -301,7 +301,7 @@ TSBF classifier WEASEL transformer followed by a logistic regression ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -`Link to the notebook `__ +`Link to the notebook `__ +------------------+-------------------+---------------+ | Name | WEASEL (reported) | WEASEL (pyts) | diff --git a/pyts/__init__.py b/pyts/__init__.py index 6027f67..d5ce225 100644 --- a/pyts/__init__.py +++ b/pyts/__init__.py @@ -7,7 +7,7 @@ several tools to perform these transformations. """ -__version__ = '0.12.0' +__version__ = '0.13.0' __all__ = ['approximation', 'bag_of_words', 'classification', 'datasets', 'decomposition', 'image', 'metrics', 'multivariate',