在python张量流中打印生成器 [英] Printing a generator in python tensor flow

问题描述

我正在尝试按照tensor flow教程进行操作>链接

I am trying to follow the tensor flow tutorial as described in this link

我正在尝试按照以下说明打印预测结果:

I am trying to print the predicted result as described :

print ("Predicted %d, Label: %d" % (classifier.predict(test_data[0]), test_labels[0]))

但是我无法打印结果.我收到以下错误.

But I am not able to print the result. I am getting the following error.

    print ("Predicted %d, Label: %d" % (classifier.predict(test_data[0]), test_labels[0]))
TypeError: %d format: a number is required, not generator

如何在python中打印generator.

我试图编写一个循环并遍历不起作用的元素，然后尝试使用next打印生成器.那也没有用.如何打印?

I tried to write a loop and iterate over the elements it didn't work and I tried to use next to print the generator. That also didn't work. How do I print it ?

推荐答案

这就是我的解决方法

new_samples = np.array([test_data[8]], dtype=float)

y = list(classifier.predict(new_samples, as_iterable=True))
print('Predictions: {}'.format(str(y)))

print ("Predicted %s, Label: %d" % (str(y), test_labels[8]))

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