Metadata-Version: 2.1
Name: dnntime
Version: 0.3.4
Summary: Automated deep learning & neural network framework for time-series data.
Home-page: https://github.com/Kevin-Chen0/deep-time-series.git
Author: Kevin R. Chen
License: Apache License 2.0
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Operating System :: OS Independent
Requires-Python: >= 3.6
Description-Content-Type: text/markdown
Requires-Dist: numpy (>=1.18)
Requires-Dist: pandas (==0.25.3)
Requires-Dist: matplotlib (>=3.1.3)
Requires-Dist: seaborn (>=0.9.0)
Requires-Dist: plotly (>=4.5.0)
Requires-Dist: scikit-learn (>=0.22.0)
Requires-Dist: statsmodels (>=0.11.0)
Requires-Dist: tscv (>=0.0.4)
Requires-Dist: art (>=4.5)
Requires-Dist: fbprophet (>=0.5)
Requires-Dist: tensorflow (>=2.1.0)
Requires-Dist: ipdb (>=0.13.0)

# dnn-time-series
Automated deep learning prediction modeling package for time-series data.

To test it out, go to [Guide.ipynb](https://github.com/Kevin-Chen0/deep-ts/blob/master/Guide.ipynb) and Run All.


