fixes mutated hyperlinks in #6023

sktime · Mar 12, 2024 · ac9bb24 · ac9bb24
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diff --git a/sktime/classification/dictionary_based/_boss.py b/sktime/classification/dictionary_based/_boss.py
@@ -112,7 +112,7 @@ class BOSSEnsemble(BaseClassifier):
     Notes
     -----
     For the Java version, see
-    - ``Original Publication <https://github.com/patrickzib/SFA>``_.
+    - `Original Publication <https://github.com/patrickzib/SFA>`_.
     - `TSML <https://github.com/uea-machine-learning/tsml/blob/master/src/main/java/
     tsml/classifiers/dictionary_based/BOSS.java>`_.
 

diff --git a/sktime/classification/dictionary_based/_muse.py b/sktime/classification/dictionary_based/_muse.py
@@ -101,7 +101,7 @@ class MUSE(BaseClassifier):
     Notes
     -----
     For the Java version, see
-    - ``Original Publication <https://github.com/patrickzib/SFA>``_.
+    - `Original Publication <https://github.com/patrickzib/SFA>`_.
     - `MUSE
         <https://github.com/uea-machine-learning/tsml/blob/master/src/main/java/tsml/
     classifiers/multivariate/WEASEL_MUSE.java>`_.

diff --git a/sktime/classification/dictionary_based/_weasel.py b/sktime/classification/dictionary_based/_weasel.py
@@ -103,7 +103,7 @@ class WEASEL(BaseClassifier):
     Notes
     -----
     For the Java version, see
-    - ``Original Publication <https://github.com/patrickzib/SFA>``_.
+    - `Original Publication <https://github.com/patrickzib/SFA>`_.
     - `TSML <https://github.com/uea-machine-learning/tsml/blob/master/src/main/java
     /tsml/classifiers/dictionary_based/WEASEL.java>`_.
 

diff --git a/sktime/classification/feature_based/_catch22_classifier.py b/sktime/classification/feature_based/_catch22_classifier.py
@@ -53,7 +53,7 @@ class Catch22Classifier(_DelegatedClassifier):
 
     Notes
     -----
-    Authors ``catch22ForestClassifier <https://github.com/chlubba/sktime-catch22>``_.
+    Authors `catch22ForestClassifier <https://github.com/chlubba/sktime-catch22>`_.
 
     For the Java version, see `tsml <https://github.com/uea-machine-learning/tsml/blob
     /master/src/main/java/tsml/classifiers/hybrids/Catch22Classifier.java>`_.

diff --git a/sktime/clustering/k_means/_k_means_tslearn.py b/sktime/clustering/k_means/_k_means_tslearn.py
@@ -51,7 +51,7 @@ class TimeSeriesKMeansTslearn(_TslearnAdapter, BaseClusterer):
         parallelization.
         ``None`` means 1 unless in a :obj:`joblib.parallel_backend` context.
         ``-1`` means using all processors. See scikit-learns'
-        ``Glossary <https://scikit-learn.org/stable/glossary.html#term-n-jobs>``_
+        `Glossary <https://scikit-learn.org/stable/glossary.html#term-n-jobs>`_
         for more details.
 
     dtw_inertia: bool (default: False)

diff --git a/sktime/clustering/kernel_k_means.py b/sktime/clustering/kernel_k_means.py
@@ -48,7 +48,7 @@ class TimeSeriesKernelKMeans(_TslearnAdapter, BaseClusterer):
         computations.
         ``None`` means 1 unless in a :obj:`joblib.parallel_backend` context.
         ``-1`` means using all processors. See scikit-learns'
-        ``Glossary <https://scikit-learn.org/stable/glossary.html#term-n-jobs>``_
+        `Glossary <https://scikit-learn.org/stable/glossary.html#term-n-jobs>`_
         for more details.
     random_state: int or np.random.RandomState instance or None, defaults = None
         Determines random number generation for centroid initialization.

diff --git a/sktime/dists_kernels/gak.py b/sktime/dists_kernels/gak.py
@@ -21,7 +21,7 @@ class GAKernel(_TslearnPwTrafoAdapter, BasePairwiseTransformerPanel):
         The number of jobs to run in parallel.
         ``None`` means 1 unless in a :obj:`joblib.parallel_backend` context.
         ``-1`` means using all processors. See scikit-learns'
-        ``Glossary <https://scikit-learn.org/stable/glossary.html#term-n-jobs>``__
+        `Glossary <https://scikit-learn.org/stable/glossary.html#term-n-jobs>`_
         for more details.
     verbose : int, optional, default=0
         The verbosity level: if non zero, progress messages are printed.

diff --git a/sktime/transformations/series/detrend/_deseasonalize.py b/sktime/transformations/series/detrend/_deseasonalize.py
@@ -50,7 +50,7 @@ class Deseasonalizer(BaseTransformer):
     -----
     For further explanation on seasonal components and additive vs.
     multiplicative models see
-    ``Forecasting: Principles and Practice <https://otexts.com/fpp3/components.html>``_.
+    `Forecasting: Principles and Practice <https://otexts.com/fpp3/components.html>`_.
     Seasonal decomposition is computed using `statsmodels
 
     <https://www.statsmodels.org/stable/generated/statsmodels.tsa.seasonal.seasonal_decompose.html>`_.
@@ -286,7 +286,7 @@ class ConditionalDeseasonalizer(Deseasonalizer):
     -----
     For further explanation on seasonal components and additive vs.
     multiplicative models see
-    ``Forecasting: Principles and Practice <https://otexts.com/fpp3/components.html>``_.
+    `Forecasting: Principles and Practice <https://otexts.com/fpp3/components.html>`_.
     Seasonal decomposition is computed using `statsmodels
 
     <https://www.statsmodels.org/stable/generated/statsmodels.tsa.seasonal.seasonal_decompose.html>`_.