Mission#

• an easy-to-use, easy-to-extend, comprehensivepython framework for ML and AI with time series

• open source,permissive license, free to use

• openly and transparently governedby the user and developer community, with a charitable core

• afriendly, responsive, kind and inclusive community,with an active commitment to fairness and equal opportunity

• an academically, commerciallyneutral space, with anecosystem integration ambition and neutral point of view

• aneducational platform, providingmentoring and upskilling for all career stages, especially early career

Features#

• unified API for ML/AI with time series, for model building, fitting, application, and validation

• support for a variety of learning tasks includingforecasting,time series classification,regression,clustering.

• composite model building, including pipelines with transformations, ensembles, tuning, reduction

• interactive user experience withscikit-learn like interface conventions

Technical specification#

• In-memory computation of a single machine, no distributed computing

• Medium-sized data in pandas and NumPy based containers

• Modular, principled and object-oriented API

• Using interactive Python interpreter, no command-line interface or graphical user interface

Contents#