d3m_esrnn

Hybrid ES-RNN models for time series forecasting

Python implementation of ESRNN model (described in https://eng.uber.com/m4-forecasting-competition/ ).

Run example

A full example available in example.ipynb

Name	Name	Last commit message	Last commit date
Latest commit cchallu Merge pull request #2 from venkatkorapaty/month-timedelta May 14, 2021 3a2f960 · May 14, 2021 History 79 Commits
esrnn	esrnn	month frequency now supported	Feb 10, 2021
.gitignore	.gitignore	first commit	Jan 17, 2020
LICENSE	LICENSE	converted to a D3M primitive	Jan 27, 2020
M4_experiment.py	M4_experiment.py	Squashed commit of the following:	Jan 28, 2020
MANIFEST.in	MANIFEST.in	Add license metadata to PyPI package	Mar 18, 2021
README.md	README.md	converted to a D3M primitive	Jan 27, 2020
__init__.py	__init__.py	Squashed commit of the following:	Jan 28, 2020
entry_points.ini	entry_points.ini	converted to a D3M primitive	Jan 27, 2020
m4_test.ipynb	m4_test.ipynb	Squashed commit of the following:	Jan 28, 2020
setup.py	setup.py	Add license metadata to PyPI package	Mar 18, 2021
setup.sh	setup.sh	torch version	Jan 31, 2020
stock_test.ipynb	stock_test.ipynb	new version	Jan 31, 2020
stock_validation.ipynb	stock_validation.ipynb	bug fixes and enhancement	Apr 3, 2020
terra_validation.ipynb	terra_validation.ipynb	bug fixes and enhancement	Apr 3, 2020
test.csv	test.csv	first commit	Jan 17, 2020
train.csv	train.csv	first commit	Jan 17, 2020