Franz Kiraly - Sktime—Python Toolbox for Time Series: How to Implement Your Own Estimator

Описание: Franz Kiraly presents:

Sktime - Python Toolbox for Time Series: How to Implement Your Own Estimator

Sktime is a widely used scikit-learn compatible library for learning with time series. Sktime is easily extensible by anyone, and interoperable with the PyData/NumFOCUS stack. This tutorial explains how to write your own Sktime estimator. E.g., forecaster, classifier, transformer, by using Sktime’s extension templates and testing framework. A custom estimator can live in any local code base, and will be compatible with Sktime pipelines, or scikit-learn. A continuation of the Sktime introductory tutorial at PyData.    • sktime - A Unified Toolbox for ML with Tim...  

Github Repo: https://github.com/sktime/sktime-tuto...

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