Web: http://arxiv.org/abs/2110.07554

June 23, 2022, 1:11 a.m. | Igor L. Markov, Hanson Wang, Nitya Kasturi, Shaun Singh, Sze Wai Yuen, Mia Garrard, Sarah Tran, Yin Huang, Zehui Wang, Igor Glotov, Tanvi Gupta, Boshu

cs.LG updates on arXiv.org arxiv.org

Modern software systems and products increasingly rely on machine learning
models to make data-driven decisions based on interactions with users,
infrastructure and other systems. For broader adoption, this practice must (i)
accommodate product engineers without ML backgrounds, (ii) support finegrain
product-metric evaluation and (iii) optimize for product goals. To address
shortcomings of prior platforms, we introduce general principles for and the
architecture of an ML platform, Looper, with simple APIs for decision-making
and feedback collection. Looper covers the end-to-end ML …

arxiv decisions lg ml platform product

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