Deep Learning Models for time series prediction..
Project description
DeepTS_Forecasting
Deepts_forecasting is a Easy-to-use package for time series forecasting with deep Learning models. It contains a variety of models, from classics such as ARIMA to deep neural networks.
The models can all be used in the same way, using fit()
and predict()
functions,
- Free software: MIT
Documentation
Features
- TODO
Models list
LICENSE
This project is licensed under the MIT License - see the LICENSE file for details.
Credits
This package was created with Cookiecutter and the zillionare/cookiecutter-pypackage project template.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
deepts_forecasting-0.1.0.tar.gz
(76.4 kB
view hashes)
Built Distribution
Close
Hashes for deepts_forecasting-0.1.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9769aad4361eb0cb30056547bd8b5289deb9086b7d6ade83fffe6c4640fe5851 |
|
MD5 | 5ae70135144b2dede3b257e120a4f08b |
|
BLAKE2b-256 | d62ad403d1600706c6c502b3f429aed83f6b0ccfcf2b63da9a998f66655e630e |