Metadata-Version: 2.1
Name: TSEnsemble
Version: 0.1.3
Summary: A Python library for times series forecasting, which uses an ensemble of methods, including SARIMA and deep learning models
Home-page: https://github.com/Fabulotus/TSEnsemble/tree/main
Author: Viktor Astakhov
License-File: LICENSE.txt
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: keras
Requires-Dist: sklearn
Requires-Dist: statsmodels
Requires-Dist: matplotlib
Requires-Dist: lightgbm
Requires-Dist: catboost

Automatically build deep learning and ARIMA models and use them for an ensemble of models. Library has different tools for time series analysis and has a simple architecture to use.
