Jan. 31, 2024, 4:46 p.m. | Dachi Chen, Weitian Ding, Chen Liang, Chang Xu, Junwei Zhang, Majd Sakr

cs.LG updates on arXiv.org arxiv.org

Training an effective Machine learning (ML) model is an iterative process
that requires effort in multiple dimensions. Vertically, a single pipeline
typically includes an initial ETL (Extract, Transform, Load) of raw datasets, a
model training stage, and an evaluation stage where the practitioners obtain
statistics of the model performance. Horizontally, many such pipelines may be
required to find the best model within a search space of model configurations.
Many practitioners resort to maintaining logs manually and writing simple glue
code …

artificial artificial intelligence arxiv cloud cs.lg datasets etl evaluation extract intelligence iterative machine machine learning multiple performance pipeline process raw stage statistics training

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