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Found 4 papers, 1 papers with code
Designing Machine Learning Toolboxes: Concepts, Principles and Patterns
In particular, we develop a conceptual model for the AI/ML domain, with a new type system, called scientific types, at its core.
Forecasting with sktime: Designing sktime's New Forecasting API and Applying It to Replicate and Extend the M4 Study
In particular, we further investigate the potential of simple off-the-shelf machine learning approaches for univariate forecasting.
sktime: A Unified Interface for Machine Learning with Time Series
We present sktime -- a new scikit-learn compatible Python library with a unified interface for machine learning with time series.
A tale of two toolkits, report the first: benchmarking time series classification algorithms for correctness and efficiency
We demonstrate correctness through equivalence of accuracy on a range of standard test problems and compare the build time of the different implementations.
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