python 1e

2024-07-02 19:55| 来源: 网络整理| 查看: 265

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

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