GitHub - Linuxlovers/arima_lstm: 使用arima_lstm完成容量分析预测（cpu、内存、磁盘）

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使用arima_lstm完成容量分析预测（cpu、内存、磁盘）

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Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
__pycache__		__pycache__
model		model
.gitignore		.gitignore
01generating_cluster_performance_data.py		01generating_cluster_performance_data.py
2017-08-15_2017-09-11.csv		2017-08-15_2017-09-11.csv
a.py		a.py
a.xls		a.xls
arima_mem_cpu_stor_usabled.py		arima_mem_cpu_stor_usabled.py
b.py		b.py
c.py		c.py
data.csv		data.csv
export_cluster.sh		export_cluster.sh
international-airline-passengers.csv		international-airline-passengers.csv
lstm-airline.py		lstm-airline.py
lstm.py		lstm.py
lstm_mem_cpu_stor_usabled.py		lstm_mem_cpu_stor_usabled.py
lstm_sales.py		lstm_sales.py
lstm与arima算法比对.docx		lstm与arima算法比对.docx
lstm与arima算法比对V20180425_2.docx		lstm与arima算法比对V20180425_2.docx
mem_usabled.xls		mem_usabled.xls
mem_usabled_days.xls		mem_usabled_days.xls
mem_usabled_days_2017.xls		mem_usabled_days_2017.xls
mem_usabled_days_new.xls		mem_usabled_days_new.xls
sales-of-shampoo-over-a-three-ye.csv		sales-of-shampoo-over-a-three-ye.csv
tensorflow_learn.py		tensorflow_learn.py
test.py		test.py
test2.py		test2.py
test3.py		test3.py
tf_lstm.py		tf_lstm.py
tf_lstm_mem_cpu_stor_usabled.py		tf_lstm_mem_cpu_stor_usabled.py
tf_lstm_mem_cpu_stor_usabled3.py		tf_lstm_mem_cpu_stor_usabled3.py
usabled_days.xls		usabled_days.xls
容量分析测试.ipynb		容量分析测试.ipynb
容量分析算法说明.docx		容量分析算法说明.docx
应用lstm算法进行容量预测.docx		应用lstm算法进行容量预测.docx
时间序列分析.ppt		时间序列分析.ppt