/deep-time-series-forecasting-study

deep time series forecasting with python book practice

Primary LanguagePython

deep-time-series-forecasting-study

deep time series forecasting with python book practice

1. 环境依赖

python=2.7 环境下 pip 安装 neuralpy (需要解决一些冲突问题) 本项目建立日期为2019/11/19时这些冲突在ubuntu18.04下是不难解决的 mac 下未发现冲突

截止目前使用的包安装如下:
  • conda create -n neural-py2.7
  • source activate neural-py2.7
  • pip install neuralpy
  • pip install pandas
  • pip install --upgrade numpy
  • pip install xlrd
  • conda install -c anaconda scikit-learn
  • conda install statsmodels
  • pip install keras
  • pip install theano
  • pip install nnet-ts
  • conda install tensorflow-
  • pip install pyneurgen

2. 本项目参考书目为 Deep Time Series Forecasting With Python, 作者是 N.D. Lewis

3. 请自行解决 matplotlib 作图中文字体显示问题

4. 执行 deep_neural_modeling.py, 会在末尾打印一份过程描述文章(Content:字符串变量)

4.1 Content.txt 为详细目录
4.2 通过 Chapte3NeedToRun = [False, True][1] 来执行第3章节代码, 它同.

5. Contact liuqin1bo@126.com for more info.