Hyperparameter tuning using visual analytics in a data science platform

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United States of America

PATENT NO 12248888
APP PUB NO 20200097847A1
SERIAL NO

16138684

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Abstract

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Techniques are disclosed for facilitating the tuning of hyperparameter values during the development of machine learning (ML) models using visual analytics in a data science platform. In an example embodiment, a computer-implemented data science platform is configured to generate, and display to a user, interactive visualizations that dynamically change in response to user interaction. Using the introduced technique, a user can, for example, 1) tune hyperparameters through an iterative process using visual analytics to gain and use insights into how certain hyperparameters affect model performance and convergence, 2) leverage automation and recommendations along this process to optimize the tuning given available resources, 3) collaborate with peers, and 4) view costs associated with executing experiments during the tuning process.

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Patent Owner(s)

  • CLOUDERA, INC.

International Classification(s)

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Convertino, Gregorio Sunnyvale, US 18 635
Lee, Williams Michael John Los Angeles, US 1 25
Li, Tianyi Blacksburg, US 62 455
Most, Haley Allen San Francisco, US 1 25
Tsai, Yi-Hsun San Francisco, US 1 25
Wang, Wenbo San Bruno, US 145 1120
Zajonc, Michael Tristan Oakland, US 1 25

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