Recommending Machine Learning Pipelines Based on Cumulative Metadata
The problem of automated machine learning pipeline design for a given supervised learning task is usually solved by various optimization methods. However, this entails high time complexity. There is a solution called meta-learning, which consists in training a certain model with metadata of the resu...
Main Authors: | Maxim Aliev, Sergey B Muravyov |
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Format: | Article |
Language: | English |
Published: |
FRUCT
2023-05-01
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Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
Subjects: | |
Online Access: | https://www.fruct.org/publications/volume-33/acm33/files/Ali.pdf |
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