Merge branch 'release' of https://github.com/yuta-nakahara/BayesML into release

yuta-nakahara · yuta-nakahara · commit 7055efa8ec6e · 2022-11-21T06:06:35.000+09:00
diff --git a/README.md b/README.md
@@ -137,7 +137,7 @@ Plain text
 
 ```
 Y. Nakahara, N. Ichijo, K. Shimada, Y. Iikubo, 
-S. Saito, K. Kazama, T. Matsushima, ``BayesML,'' 
+S. Saito, K. Kazama, T. Matsushima, ``BayesML 0.2.0,'' 
 [Online] https://github.com/yuta-nakahara/BayesML
 ```
 
@@ -148,7 +148,7 @@ BibTeX
   author = {Nakahara Yuta and Ichijo Naoki and Shimada Koshi and
             Iikubo Yuji and Saito Shota and Kazama Koki and
             Matsushima Toshiyasu}
-  title = {BayesML},
+  title = {BayesML 0.2.0},
   howpublished = {\url{https://github.com/yuta-nakahara/BayesML}},
   year = {2022}
 }
diff --git a/bayesml/_test.py b/bayesml/_test.py
diff --git a/bayesml/normal/__init__.py b/bayesml/normal/__init__.py
@@ -66,7 +66,7 @@
     m_n &= \frac{\kappa_0 m_0 + n \bar{x}}{\kappa_0 + n}, \\
     \kappa_n &= \kappa_0 + n, \\
     \alpha_n &= \alpha_0 + \frac{n}{2}, \\
-    \beta_n &=  \beta_0 + \frac{1}{2} \left( \sum_{i=1}^n (x_i - \bar{x})^2 + \frac{\kappa_0 n}{\kappa_n + n} (\bar{x} - m_0)^2 \right).
+    \beta_n &=  \beta_0 + \frac{1}{2} \left( \sum_{i=1}^n (x_i - \bar{x})^2 + \frac{\kappa_0 n}{\kappa_0 + n} (\bar{x} - m_0)^2 \right).
 
 The predictive distribution is as follows:
 
diff --git a/docs/bayesml.normal.html b/docs/bayesml.normal.html
@@ -336,7 +336,7 @@ <h1>bayesml.normal package<a class="headerlink" href="#bayesml-normal-package" t
 m_n &amp;= \frac{\kappa_0 m_0 + n \bar{x}}{\kappa_0 + n}, \\
 \kappa_n &amp;= \kappa_0 + n, \\
 \alpha_n &amp;= \alpha_0 + \frac{n}{2}, \\
-\beta_n &amp;=  \beta_0 + \frac{1}{2} \left( \sum_{i=1}^n (x_i - \bar{x})^2 + \frac{\kappa_0 n}{\kappa_n + n} (\bar{x} - m_0)^2 \right).\end{split}\]</div>
+\beta_n &amp;=  \beta_0 + \frac{1}{2} \left( \sum_{i=1}^n (x_i - \bar{x})^2 + \frac{\kappa_0 n}{\kappa_0 + n} (\bar{x} - m_0)^2 \right).\end{split}\]</div>
 <p>The predictive distribution is as follows:</p>
 <ul class="simple">
 <li><p><span class="math notranslate nohighlight">\(x_{n+1} \in \mathbb{R}\)</span>: a new data point</p></li>
@@ -975,4 +975,4 @@ <h1>bayesml.normal package<a class="headerlink" href="#bayesml-normal-package" t
   <script src="_static/js/index.be7d3bbb2ef33a8344ce.js"></script>
 
   </body>
-</html>
+</html>
diff --git a/docs/index.html b/docs/index.html
@@ -549,4 +549,4 @@ <h1>Indices<a class="headerlink" href="#indices" title="Permalink to this headli
   <script src="_static/js/index.be7d3bbb2ef33a8344ce.js"></script>
 
   </body>
-</html>
+</html>
diff --git a/setup.py b/setup.py
@@ -57,4 +57,4 @@
                       'matplotlib >= 3.5',
                       'scikit-learn >= 1.1'],
     python_requires='~=3.7',
-)
+)

-Original file line number
+Diff line change
   <script src="_static/js/index.be7d3bbb2ef33a8344ce.js"></script>
   </body>
 -</html>
 +</html>