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2 parents 2e43118 + a38eeea commit f81434eCopy full SHA for f81434e
README.md
@@ -61,7 +61,7 @@ gen_model.visualize_model()
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After confirming that the frequency of occurrence of 1 is around `theta=0.7`, we generate a sample and store it to variable `x`.
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``` python
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-x = model.gen_sample(sample_size=20)
+x = gen_model.gen_sample(sample_size=20)
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```
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Next, we create an instance of a model for learning posterior distribution.
README_jp.md
@@ -60,7 +60,7 @@ gen_model.visualize_model()
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1の出現頻度が`theta=0.7`程度であることを確認したら,サンプルを生成し変数`x`に保存します.
次に,事後分布学習用のモデルを作成します.
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