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

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution for d3m-esrnn 0.1.1
File	Size	Uploaded
d3m-esrnn-0.1.1.tar.gz	22.1 kB	Feb 18, 2022	Details

Table of built distributions (wheels) for d3m-esrnn 0.1.1
File	Interpreter	ABI	Platform	Reset
d3m_esrnn-0.1.1-py3-none-any.whl 28.4 kB Feb 18, 2022	Python 3	none	any	Details

Total release size:50.5 kB

Download URL	d3m-esrnn-0.1.1.tar.gz
Size	22.1 kB
Tags	Source
SHA-256 checksum How to use checksums	`1bc13ab39f6aaab736570e738998749d0985be8580d637f3cc47b23270259ad6`
BLAKE2b-256 checksum How to use checksums	`9e797c6ad60dc851778f6473592b43c916956a711bb70e4f0ac83601179ed6e9`
Upload date	Feb 18, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.26.0 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.49.0 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.12`

Download URL	d3m_esrnn-0.1.1-py3-none-any.whl
Size	28.4 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`b616e4e9b450d96ebf99b87de80ae6d05f332389b8a180d3cf03f57a5ae6d5c9`
BLAKE2b-256 checksum How to use checksums	`c2f2b991a4caf1911f96b92a738051ef3348ffa42544471b21e48e72652bacf9`
Upload date	Feb 18, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.26.0 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.49.0 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.12`

This release

0.1.1 This release