BriefGPT.xyz
Jun, 2023
局限严重应用中的自动机器学习
AutoML in Heavily Constrained Applications
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Felix Neutatz, Marius Lindauer, Ziawasch Abedjan
TL;DR
本文提出了一种名为Caml的元学习方法，可以自动适应其自身AutoML参数，以优化特定任务的高性能管道，并可以考虑用户定义的应用约束条件，以获得满足约束条件的高预测性能的管道。
Abstract
Optimizing a
machine learning pipeline
for a task at hand requires careful configuration of various hyperparameters, typically supported by an
automl
system that optimizes the hyperparameters for the given traini
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