Rstudio+neticulate+python中keras错误

Question

我正在使用安装在环境anaconda4.7.10中的R studio v1.2.1335（R markdown和reticulate包），python3.7.4。你知道吗

正在处理此代码（https://www.guru99.com/keras-tutorial.html）

```{python script 1}    
import keras
    from keras.models import Sequential
    from keras.layers import Dense, Activation
    import numpy as np
    import matplotlib.pyplot as plt 

    x = data = np.linspace(1,2,200)
    y = x*4 + np.random.randn(*x.shape) * 0.3


    model = Sequential()
    model.add(Dense(1, input_dim=1, activation='linear'))

    model.compile(optimizer='sgd', loss='mse', metrics=['mse'])

    weights = model.layers[0].get_weights()
    w_init = weights[0][0][0]
    b_init = weights[1][0]
    print('Linear regression model is initialized with
    weights w: %.2f, b: %.2f' % (w_init, b_init)) 


    model.fit(x,y, batch_size=1, epochs=30, shuffle=False)

    weights = model.layers[0].get_weights()
    w_final = weights[0][0][0]
    b_final = weights[1][0]
    print('Linear regression model is trained to have
    weight w: %.2f, b: %.2f' % (w_final, b_final))

    predict = model.predict(data)

    plt.plot(data, predict, 'b', data , y, 'k.')
    plt.show()
```

错误：

Evaluation error: option error has NULL value.

使用keras和comand Dense的其他代码也会出现同样的错误。你知道吗

使用py\u config（）的其他信息

python:         C:\Users\Megaport\Anaconda3\envs\r-reticulate\python.exe
libpython:      C:/Users/Megaport/Anaconda3/envs/r-reticulate/python37.dll
pythonhome:     C:\Users\Megaport\ANACON~1\envs\R-RETI~1
version:        3.7.4 (default, Aug  9 2019, 18:34:13) [MSC v.1915 64 bit (AMD64)]
Architecture:   64bit
numpy:          C:\Users\Megaport\ANACON~1\envs\R-RETI~1\lib\site-packages\numpy
numpy_version:  1.17.2

python versions found: 
 C:\Users\Megaport\Anaconda3\envs\r-reticulate\python.exe
 C:\Users\Megaport\ANACON~1\python.exe
 C:\Users\Megaport\Anaconda3\python.exe
 C:\Users\Megaport\Anaconda3\envs\venv\python.exe

---------------更新------------------- 我已经在Rstudio中运行了这个脚本，没有使用r-markdown，但是只使用python 而且它没有出错。问题一定出在r减价或网状安装中。你知道吗

任何帮助都将不胜感激