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BigData2020MasterInformatica / FinanceAnalysis

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TimeSeries with PySpark and Prophet #19

Closed DRTorresRuiz closed 3 years ago

DRTorresRuiz commented 3 years ago

Some files have been updated ( requirements.txt and .gitignore ).

The principal aim of this pull request is the addition of TimeSeries to this project using PySpark and Prophet. Some resulted images after running time_series.py can be seen below:

Screenshot 2020-11-16 at 16 57 30 Screenshot 2020-11-16 at 16 57 21

There are still some tasks to be done before merging this pull requests:

DRTorresRuiz commented 3 years ago

Does anyone have any idea how to use the code in time_series.py for realtime series data?

DRTorresRuiz commented 3 years ago

I have developed a function call predict(), which can be easily used, in the file time_series.py inside our module finansp. I have also included a CLI file (time_series_CLI.py) to call this function and save its output in a CSV file.

Finally, I would like to merge this pull request with the main branch of our project and add a new entry in our Wiki that explains how to use this function and the CLI.

DRTorresRuiz commented 3 years ago

A simple explanation of the contributions made in this pull request has been included in our wiki in the Time Series section.