Search Results for author: Anthony D. Blaom

Found 3 papers, 2 papers with code

OutlierDetection.jl: A modular outlier detection ecosystem for the Julia programming language

1 code implementation8 Nov 2022 David Muhr, Michael Affenzeller, Anthony D. Blaom

Additionally, it provides a standardized, yet flexible, interface for future outlier detection algorithms and allows for model composition unseen in previous packages.

Outlier Detection

Flexible model composition in machine learning and its implementation in MLJ

no code implementations31 Dec 2020 Anthony D. Blaom, Sebastian J. Vollmer

A graph-based protocol called `learning networks' which combine assorted machine learning models into meta-models is described.

BIG-bench Machine Learning

MLJ: A Julia package for composable machine learning

1 code implementation23 Jul 2020 Anthony D. Blaom, Franz Kiraly, Thibaut Lienart, Yiannis Simillides, Diego Arenas, Sebastian J. Vollmer

MLJ (Machine Learing in Julia) is an open source software package providing a common interface for interacting with machine learning models written in Julia and other languages.

BIG-bench Machine Learning

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