本文整理汇总了Python中tf_metrics.precision方法的典型用法代码示例。如果您正苦于以下问题：Python tf_metrics.precision方法的具体用法？Python tf_metrics.precision怎么用？Python tf_metrics.precision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tf_metrics的用法示例。
在下文中一共展示了tf_metrics.precision方法的2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: test_precision_op
# 需要导入模块: import tf_metrics [as 别名]
# 或者: from tf_metrics import precision [as 别名]
def test_precision_op(generator_fn, y_true_all, y_pred_all, pos_indices,
average):
# Precision on the whole dataset
pr_sk = precision_score(
y_true_all, y_pred_all, pos_indices, average=average)
# Create Tensorflow graph
ds = tf.data.Dataset.from_generator(
generator_fn, (tf.int32, tf.int32), ([None], [None]))
y_true, y_pred = ds.make_one_shot_iterator().get_next()
pr_tf = tf_metrics.precision(y_true, y_pred, 4, pos_indices,
average=average)
with tf.Session() as sess:
# Initialize and run the update op on each batch
sess.run(tf.local_variables_initializer())
while True:
try:
sess.run(pr_tf[1])
except OutOfRangeError as e:
break
# Check final value
assert np.allclose(sess.run(pr_tf[0]), pr_sk) 示例2: test_precision
# 需要导入模块: import tf_metrics [as 别名]
# 或者: from tf_metrics import precision [as 别名]
def test_precision(generator_fn, pos_indices, average):
for y_true, y_pred in generator_fn():
pr_tf = tf_metrics.precision(
y_true, y_pred, 4, pos_indices, average=average)
pr_sk = precision_score(
y_true, y_pred, pos_indices, average=average)
with tf.Session() as sess:
sess.run(tf.local_variables_initializer())
assert np.allclose(sess.run(pr_tf[1]), pr_sk)