本文整理汇总了Python中feature.Feature.features_for_tensorflow方法的典型用法代码示例。如果您正苦于以下问题：Python Feature.features_for_tensorflow方法的具体用法？Python Feature.features_for_tensorflow怎么用？Python Feature.features_for_tensorflow使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类feature.Feature的用法示例。
在下文中一共展示了Feature.features_for_tensorflow方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: exit
# 需要导入模块: from feature import Feature [as 别名]
# 或者: from feature.Feature import features_for_tensorflow [as 别名]
else:
parser.print_help()
exit()
if not test:
print("Empty input")
if parsed_args.o:
print(test)
f = Feature()
sess = tf.Session()
W = tf.Variable(tf.random_uniform([300000, 1], -1.0, 1.0), name="Weigh")
b = tf.Variable(tf.zeros([1]), name="Bias")
saver = tf.train.Saver()
saver.restore(sess, 'my-model-20000')
x = f.features_for_tensorflow(test)
y = tf.add(tf.matmul(W, x, transpose_a=True), b)
comment = sess.run(y)
# output
if parsed_args.l:
print(clf.predict([f.features(test)]))
print(clf.predict_proba([f.features(test)]))
print(comment[0][0])
else:
print("Result:")
if clf.predict([f.features(test)]):
print("The content is politics-related")
else:
print("The content is not politics-related")
print("Probability of the content being politics-related: "+str(clf.predict_proba([f.features(test)])))