Metadata-Version: 2.1
Name: torch-es
Version: 0.0.1
Summary: Double Seasonal Exponential Smoothing using PyTorch + ES-RNN capabilities on top
Home-page: https://github.com/vshulyak/torch-es
Author: Vladimir Shulyak
Author-email: vladimir@shulyak.net
License: UNKNOWN
Description: # torch-es
        Double Seasonal Exponential Smoothing using [`PyTorch`](https://pytorch.org) with batched data and multiple series training support.
        
        
        # 📋 Roadmap
        
        There are lots of tools built on top of the code in this repository, so the plan is to add them here eventually.
        
        Here's what's published:
        
        - [x] 3d Holt-Winters implementation
        - [x] Additive and Multiplicative seasonalities
        - [x] Blender module to merge predictions from multiple series.
        - [ ] Training loop for normal and bptt training.
        - [ ] Uncertainty estimation via sampling.
        - [ ] Additional losses
        - [ ] RNN training on top of HW.
        
        # 📚 Dependencies
        
        - torch
        - numpy
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
