Review01 #32
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Review01 #32
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SmirkCao
commented
Oct 28, 2018
| @@ -4,14 +4,17 @@ | |||
| # Filename: unit_test | |||
| # Date: 9/6/18 | |||
| # Author: 😏 <smirk dot cao at gmail dot com> | |||
| import numpy as np | |||
| from sklearn.datasets import load_digits | |||
SmirkCao
commented
Oct 28, 2018
| > 1. E步: | ||
| > $$\hat\gamma_{jk}=\frac{\alpha_kBern(y_j|\theta_k)}{\sum_{k=1}^K\alpha_kBern(y_j|\theta_k)}=\frac{\alpha_k\mu_k^{y_j}(1-\mu_k)^{1-y_j}}{\sum_{k=1}^K\alpha_k\mu_k^{y_j}(1-\mu_k)^{1-y_j}}, j=1,2,\dots,N; k=1,2,\dots,K$$ | ||
| > $$\hat\gamma_{jk}=\frac{\alpha_kBern(y_j|\theta_k)}{\sum_{k=1}^K\alpha_kBern(y_j|\theta_k)}=\frac{\alpha_k\mu_k^{y_j}(1-\mu_k)^{1-y_j}}{\sum_{k=1}^K\alpha_k\mu_k^{y_j}(1-\mu_k)^{1-y_j}}, j=1,2,\dots,N; k=1,2,\dots,K$$ |
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感觉自己写的Markdown还是不够干净, 早晚重度代码洁癖.
John Gruber 在 2004 年创造了 Markdown 语言
SmirkCao
commented
Oct 28, 2018
| @@ -1,5 +1,5 @@ | |||
| #! /usr/bin/env python | |||
| #! -*- coding=utf-8 -*- | |||
| # ! -*- coding=utf-8 -*- | |||
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这部分代码简陋, 但是容易帮助理解bmm. 可以加个tag
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Bernoulli Mixed Models for e91.