Fix version package doc

Author: antoinedemathelin

.github/workflows/check-docs.yml

@@ -18,7 +18,7 @@ jobs:
       run: |
         sudo apt install pandoc
         python -m pip install --upgrade pip
-        pip install jinja2==3.0.3 sphinx numpydoc nbsphinx sphinx_gallery sphinx_rtd_theme ipython
+        pip install jinja2==3.0.3 sphinx==4.4.0 numpydoc==1.2 nbsphinx==0.8.8 sphinx_gallery==0.10.1 sphinx_rtd_theme==1.0.0 ipython==8.0.1
     - name: Install adapt dependencies
       run: |
         python -m pip install --upgrade pip

.github/workflows/publish-doc-to-remote.yml

@@ -18,7 +18,7 @@ jobs:
       run: |
         sudo apt install pandoc
         python -m pip install --upgrade pip
-        pip install jinja2==3.0.3 sphinx numpydoc nbsphinx sphinx_gallery sphinx_rtd_theme ipython
+        pip install jinja2==3.0.3 sphinx==4.4.0 numpydoc==1.2 nbsphinx==0.8.8 sphinx_gallery==0.10.1 sphinx_rtd_theme==1.0.0 ipython==8.0.1
     - name: Install adapt dependencies
       run: |
         python -m pip install --upgrade pip

adapt/instance_based/_kliep.py

@@ -374,7 +374,7 @@ def _fit_PG(self, Xs, Xt, PG, kernel_params):
 
         # For original, no center selection
         if PG:
-            centers, A, b = self.centers_selection(Xs, Xt, kernel_params)
+            centers, A, b = self._centers_selection(Xs, Xt, kernel_params)
         else:
             index_centers = np.random.choice(
                         len(Xt),
@@ -430,7 +430,7 @@ def _fit_PG(self, Xs, Xt, PG, kernel_params):
         return alphas[np.argmax(OBJs)], centers
 
     def _fit_FW(self, Xs, Xt, kernel_params):
-        centers, A, b = self.centers_selection(Xs, Xt, kernel_params)
+        centers, A, b = self._centers_selection(Xs, Xt, kernel_params)
 
         alpha = 1/(len(centers)*b)
         alpha = alpha.reshape(-1,1)
@@ -457,7 +457,7 @@ def _fit_FW(self, Xs, Xt, kernel_params):
                     print("Alpha's optimization : iter %i -- Obj %.4f"%(k, objective))
         return alpha, centers
 
-    def centers_selection(self, Xs, Xt, kernel_params):
+    def _centers_selection(self, Xs, Xt, kernel_params):
         A = np.empty((Xt.shape[0], 0))
         b = np.empty((0,))
         centers = np.empty((0, Xt.shape[1]))