Update sphinx sources

Author: yuta-nakahara

README.md

@@ -145,7 +145,7 @@ BibTeX
 @misc{bayesml,
   author = {Nakahara Yuta and Ichijo Naoki and Shimada Koshi and
             Iikubo Yuji and Saito Shota and Kazama Koki and
-            Matsushima Toshiyasu and BayesML Developers}
+            Matsushima Toshiyasu and {BayesML Developers}},
   title = {BayesML 0.2.1},
   howpublished = {\url{https://github.com/yuta-nakahara/BayesML}},
   year = {2022}

README_jp.md

@@ -142,7 +142,7 @@ BibTeX
 @misc{bayesml,
   author = {Nakahara Yuta and Ichijo Naoki and Shimada Koshi and
             Iikubo Yuji and Saito Shota and Kazama Koki and
-            Matsushima Toshiyasu and BayesML Developers}
+            Matsushima Toshiyasu and {BayesML Developers}},
   title = {BayesML 0.2.1},
   howpublished = {\url{https://github.com/yuta-nakahara/BayesML}},
   year = {2022}

bayesml/metatree/_metatree.py

@@ -957,7 +957,6 @@ def visualize_model(self,filename=None,format=None,sample_size=100,x_continuous=
         >>> model.visualize_model()
 
         .. image:: ./images/metatree_example1.png
-
         .. image:: ./images/metatree_example2.png
 
         See Also
@@ -2019,7 +2018,7 @@ def _copy_map_tree_recursion(self,copied_node:_Node,original_node:_Node):
                 self._copy_map_tree_recursion(copied_node.children[i],original_node.children[i])
 
     def estimate_params(self,loss="0-1",visualize=True,filename=None,format=None):
-        """Estimate the parameter under the given criterion.
+        r"""Estimate the parameter under the given criterion.
 
         The approximate MAP meta-tree 
         :math:`M_{T,\boldsymbol{k}_b} = \mathrm{argmax} p(M_{T,\boldsymbol{k}_{b'}} | \boldsymbol{x}^n, y^n)` 
@@ -2028,15 +2027,15 @@ def estimate_params(self,loss="0-1",visualize=True,filename=None,format=None):
         Parameters
         ----------
         loss : str, optional
-            Loss function underlying the Bayes risk function, by default ``\"0-1\"``.
-            This function supports only ``\"0-1\"``.
+            Loss function underlying the Bayes risk function, by default ``"0-1"``.
+            This function supports only ``"0-1"``.
         visualize : bool, optional
             If ``True``, the estimated metatree will be visualized, by default ``True``.
             This visualization requires ``graphviz``.
         filename : str, optional
             Filename for saving the figure, by default ``None``
         format : str, optional
-            Rendering output format (``\"pdf\"``, ``\"png\"``, ...).
+            Rendering output format (``"pdf"``, ``"png"``, ...).
 
 
         Returns

doc/bayesml.metatree.rst

@@ -1,7 +1,8 @@
 bayesml.metatree package
 ========================
 
-.. image:: ./images/metatree_example.png
+.. image:: ./images/metatree_example1.png
+.. image:: ./images/metatree_example2.png
 
 Module contents
 ---------------

doc/conf.py

@@ -22,7 +22,7 @@
 author = 'BayesML Developers'
 
 # The full version, including alpha/beta/rc tags
-release = '0.2.0'
+release = '0.2.1'
 
 
 # -- General configuration ---------------------------------------------------

doc/developers.rst

@@ -59,19 +59,19 @@ Plain text
 .. code-block::
 
    Y. Nakahara, N. Ichijo, K. Shimada, Y. Iikubo, 
-   S. Saito, K. Kazama, T. Matsushima, ``BayesML 0.2.0,'' 
+   S. Saito, K. Kazama, T. Matsushima, BayesML Developers, ``BayesML 0.2.1,'' 
    [Online] https://github.com/yuta-nakahara/BayesML
 
 
 BibTeX
 
-.. code-block::
+.. code-block:: bibtex
    
    @misc{bayesml,
    author = {Nakahara Yuta and Ichijo Naoki and Shimada Koshi and
                Iikubo Yuji and Saito Shota and Kazama Koki and
-               Matsushima Toshiyasu}
-   title = {BayesML 0.2.0},
+               Matsushima Toshiyasu and {BayesML Developers}},
+   title = {BayesML 0.2.1},
    howpublished = {\url{https://github.com/yuta-nakahara/BayesML}},
    year = {2022}
    }

doc/index.rst

@@ -150,7 +150,7 @@ Plain text
 .. code-block::
 
    Y. Nakahara, N. Ichijo, K. Shimada, Y. Iikubo, 
-   S. Saito, K. Kazama, T. Matsushima, ``BayesML 0.2.0,'' 
+   S. Saito, K. Kazama, T. Matsushima, BayesML Developers, ``BayesML 0.2.1,'' 
    [Online] https://github.com/yuta-nakahara/BayesML
 
 
@@ -161,8 +161,8 @@ BibTeX
    @misc{bayesml,
    author = {Nakahara Yuta and Ichijo Naoki and Shimada Koshi and
                Iikubo Yuji and Saito Shota and Kazama Koki and
-               Matsushima Toshiyasu}
-   title = {BayesML 0.2.0},
+               Matsushima Toshiyasu and {BayesML Developers}},
+   title = {BayesML 0.2.1},
    howpublished = {\url{https://github.com/yuta-nakahara/BayesML}},
    year = {2022}
    }