10年世界杯冠军_梅西2018年世界杯 - kefulq.com

x = 1e-4

print x

会输出0.0001

如果你想要e-5则需要写成

1e-5

它会输出1e-05,不是他没有变化，而是它自动将0.00001转换成1e-05

你可以试一下x = 0.00001

print x

输出一回事1e-05

#encoding=utf8

import os

import pandas as pd

if os.path.exists('./step2/result.csv'):

os.remove('./step2/result.csv')

#********* Begin *********#

#获取训练数据

train_data = pd.read_csv('./step2/train_data.csv')

#获取训练标签

train_label = pd.read_csv('./step2/train_label.csv')

train_label = train_label['target']

#获取测试数据

test_data = pd.read_csv('./step2/test_data.csv')

from sklearn.neural_network import MLPClassifier

mlp = MLPClassifier(solver='lbfgs',max_iter =10,

alpha=1e-5,hidden_layer_sizes=(10,5))

mlp.fit(train_data, train_label)

results = mlp.predict(test_data)

df = pd.DataFrame(results,columns =['result'])

df.to_csv("./step2/result.csv", encoding="utf-8-sig", mode="a", header=True, index=False)

#********* End *********#

#encoding=utf8

import os

import pandas as pd

if os.path.exists('./step2/result.csv'):

os.remove('./step2/result.csv')

#********* Begin *********#

#获取训练数据

train_data = pd.read_csv('./step2/train_data.csv')

#获取训练标签

train_label = pd.read_csv('./step2/train_label.csv')

train_label = train_label['target']

#获取测试数据

test_data = pd.read_csv('./step2/test_data.csv')

from sklearn.neural_network import MLPClassifier

mlp = MLPClassifier(solver='lbfgs',max_iter =10,

alpha=0.00001,hidden_layer_sizes=(10,5))

mlp.fit(train_data, train_label)

results = mlp.predict(test_data)

df = pd.DataFrame(results,columns =['result'])

df.to_csv("./step2/result.csv", encoding="utf-8-sig", mode="a", header=True, index=False)

#********* End *********#

上下两个结果相同