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forecasting
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Time Series Forecasting Best Practices & Examples
1 051 коммит 5 Ветки 3 Теги 137 MiB
Python 75.2%
Jupyter Notebook 19.9%
R 4%
Batchfile 0.5%
Shell 0.4%
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vapaunic a11d74efc8 Vapaunic/lib (#37) 
* initial core for forecasting library

* syncing with new structure

* __init__ files in modules

* renamed lib directory

* Added legal headers and some formatting of py files

* restructured benchmarking directory in lib

* fixed imports, warnings, legal headers

* more import fixes and legal headers

* updated instructions with package installation

* barebones library README

* moved energy benchmark to contrib

* formatting changes plus more legal headers

* Added license to the setup

* moved .swp file to contrib, not sure we need to keep it at all

* added missing headers and a brief snipet to README file

* minor wording change in readme


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 		2020-01-15 20:55:54 +00:00
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README.md

Forecasting Best Practices

This repository contains examples and best practices for building Forecasting solutions and systems, provided as Jupyter notebooks and a library of utility functions. The focus of the repository is on state-of-the-art methods and common scenarios that are popular among researchers and practitioners working on forecasting problems.