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Implementing a declarative query language for high level machine learning application design
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AI
DOI：10.1016/j.is.2025.102637.png)
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Abstract
En 中文
• Introduced MQL, an SQL-inspired language for machine learning application design. • MQL minimizes ML development time by automating model selection and evaluation. • MQL shows exceptional performance across numerous test datasets. • Empirical results demonstrate that MQL outperforms traditional ML pipelines, including several AutoML platforms, in accuracy and performance. • Presents shared community development opportunities toward a declarative platform for machine learning.
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3.4
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125
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