Skip to content

Latest commit

 

History

History
6 lines (6 loc) · 568 Bytes

README.md

File metadata and controls

6 lines (6 loc) · 568 Bytes

SARIMA_model_Python

How to find the best SARIMA parameters for a model, save the model in a file and generate an interactive graph to play with the predictions. Contents:

  1. Model_generation.ipynb notebook to find the best model and save it in a file.
  2. Find_best_model.py python file to find the best model in a Windows OS. Once the parameters are found, you need to use the previous notebook to train the final model and save the file.
  3. Graph_generation.ipynb notebook to generate the predictions and the interactive graph that will be saved in an html file.