Metadata-Version: 2.1
Name: predictably
Version: 0.1.3
Summary: Scikit-learn compatible Python forecasting module
Home-page: https://rnkuhns.github.io/predict-ably/
Author: Ryan Kuhns
Author-email: rnkuhns@gmail.com
License: BSD-3
Description: # predict-*ably*
        A Python module for time-series forecasting that seeks to provide high-level functionality similar to R's fable and forecast packages
        
        Where functionality already exists in Python the goal is to provide a consistent API wrapper that fits with scikit-learn and standard forecasting practice. 
        
        To that extent, the project will leverage some of the code used in Alan-Turing Institute's sktime (https://github.com/alan-turing-institute/sktime). 
        
        Plan to add hierarchical reconciliation along the lines of: 
        1. https://github.com/carlomazzaferro/scikit-hts-examples (see: https://scikit-hts.readthedocs.io/en/latest/_modules/hts/model/ar.html#AutoArimaModel for docs)
        2. https://github.com/CollinRooney12/htsprophet
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Development Status :: 1 - Planning
Description-Content-Type: text/markdown
Provides-Extra: dev
