联合分布适配jda的代码
时间: 2023-12-02 07:00:25 浏览: 67
为了适配JDA的联合分布,我们可以使用以下代码:
首先,我们需要导入必要的库和模块:
```python
import numpy as np
import scipy.optimize as opt
```
然后,我们定义三个函数:分布适配函数、损失函数和约束函数。
```python
def distribution_adaptation(x, marginals, jda_marginals):
n = marginals.shape[0]
c = np.zeros((n, n))
for i in range(n):
for j in range(n):
if marginals[i,j] == 0:
c[i,j] = 0
else:
c[i,j] = jda_marginals[i,j] * np.log(jda_marginals[i,j] / marginals[i,j])
return np.sum(c)
def loss(x, *args):
marginals, jda_marginals = args
w = x[:marginals.shape[0]]
b = x[marginals.shape[0]:]
adapted_marginals = np.dot(w * marginals, w.T) + b
return distribution_adaptation(adapted_marginals, marginals, jda_marginals)
def constraint(x):
return np.sum(x) - 1
```
接下来,我们定义联合分布适配函数:
```python
def joint_distribution_adaptation(marginals, jda_marginals):
x0 = np.random.rand(marginals.shape[0]*2)
bounds = [(0, 1) for _ in range(marginals.shape[0]*2)]
constraints = [{'type': 'eq', 'fun': constraint}]
result = opt.minimize(loss, x0, args=(marginals, jda_marginals), bounds=bounds, constraints=constraints)
w = result.x[:marginals.shape[0]]
b = result.x[marginals.shape[0]:]
adapted_marginals = np.dot(w * marginals, w.T) + b
return adapted_marginals
```
最后,我们可以通过调用`joint_distribution_adaptation`函数来适配JDA的联合分布:
```python
marginals = # 原始联合分布
jda_marginals = # JDA适配的联合分布
adapted_marginals = joint_distribution_adaptation(marginals, jda_marginals)
```
以上就是用于适配JDA的联合分布的代码。
相关推荐
![txt](https://img-home.csdnimg.cn/images/20210720083642.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![zip](https://img-home.csdnimg.cn/images/20210720083736.png)
![zip](https://img-home.csdnimg.cn/images/20210720083736.png)
![zip](https://img-home.csdnimg.cn/images/20210720083736.png)