GitHub - guowen1979/-LSTM at 94fd02bf496c9eaf74006c64c4d02e59ab4291a1

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通过爬虫获取双色球数据，然后再通过LSTM算法对彩票进行预测

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.idea		.idea
model_step		model_step
model_step_blue		model_step_blue
model_step_red1		model_step_red1
model_step_red2		model_step_red2
model_step_red3		model_step_red3
model_step_red4		model_step_red4
model_step_red5		model_step_red5
model_step_red6		model_step_red6
LSTM_pre.py		LSTM_pre.py
LSTM_test_old.py		LSTM_test_old.py
LSTM_train.py		LSTM_train.py
README		README
b541dae4f200847f33c04c25fdc3916.jpg		b541dae4f200847f33c04c25fdc3916.jpg
collect_csv.py		collect_csv.py
data.csv		data.csv
data_pre.csv		data_pre.csv
data_show.csv		data_show.csv
ef7421254938d28b324734b6d130ebc.jpg		ef7421254938d28b324734b6d130ebc.jpg
packet.txt		packet.txt
process.py		process.py
ssq.txt		ssq.txt
test		test

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#数据采集：
collect_csv     :   爬取数据到csv，生成ssq.txt
#数据清洗：
process         :   处理文件ssq.txt,对数据进行清洗预览功能;

模型创建（模型训练和生成）：
LSTM_train      :   训练数据
（通过修改status的值去训练哪个球的模型；事先这里七个球都训练好了，后续觉得哪个球的准确率不高，可以自行修改模型）
模型预测：
LSTM_pre        :   模型预测

最终生成的data_pre.csv为结果输出；





安装python的依赖库：
python3.6
tensorflow==1.3.0
numpy==1.19.3
pandas==1.1.4
requests==2.24.0
beautifulsoup4=4.7.1


如果实现财富自由，请酌情打赏一下作者，作者很穷的。

 ![ef7421254938d28b324734b6d130ebc](.\ef7421254938d28b324734b6d130ebc.jpg) ![b541dae4f200847f33c04c25fdc3916](.\b541dae4f200847f33c04c25fdc3916.jpg)