lawlite19

import time

def timeit(func):
    """
    装饰器，计算函数执行时间
    """
    def wrapper(*args, **kwargs):
        time_start = time.time()
        result = func(*args, **kwargs)
        time_end = time.time()

lawlite19

def test_embedding_look_up():
    input_ids = tf.placeholder(dtype=tf.int32, shape=[3,2])
    
    #embedding = tf.get_variable('test', shape=[5,5])
    embedding = tf.Variable(np.identity(5, dtype=np.int32))
    input_embedding = tf.nn.embedding_lookup(embedding, input_ids)
    
    sess = tf.InteractiveSession()
    sess.run(tf.global_variables_initializer())
    print("embeding:\n", embedding.eval())

lawlite19

from matplotlib import pyplot as plt
from matplotlib.font_manager import FontProperties
font = FontProperties(fname=r"c:\windows\fonts\simsun.ttc", size=14)    # 解决windows环境下画图汉字乱码问题
from sklearn.learning_curve import learning_curve
from sklearn.metrics import make_scorer, mean_absolute_error    # 评分函数
'''
- 用sklearn的learning_curve得到training_score和cv_score，使用matplotlib画出learning curve
- 画出data在某模型上的learning curve.
参数解释
----------