小编use*_*234的帖子

将整数转换为float的原因是什么比在Python中向该int添加0.0要慢？

import timeit


def add_simple():
    for i in range(1000):
        a = 1 + 0.0


def cast_simple():
    for i in range(1000):
        a = float(1)


def add_total():
    total = 0
    for i in range(1000):
        total += 1 + 0.0


def cast_total():
    total = 0
    for i in range(1000):
        total += float(1)


print "Add simple timing: %s" % timeit.timeit(add_simple, number=1)
print "Cast simple timing: %s" % timeit.timeit(cast_simple, number=1)
print "Add total timing: %s" % timeit.timeit(add_total, number=1)
print "Cast total timing: %s" % timeit.timeit(cast_total, …

如何从SyntaxNet(https://github.com/tensorflow/models/tree/master/syntaxnet)获得依赖解析(不是语法树)输出？我看到了依赖解析的描述......如何训练模型的描述,而不是如何获得依赖解析输出.

SyntaxNet(特别是Parsey McParseface模型)甚至是开箱即用的依赖解析吗？