Salesforce, Inc.

Eric Wayman

Vitaly Gordon

Shubha Umesh Nabar

Sarah Aerni

Leah McGuire

Kevin Moore

Methods and systems are provided to determine suitable hyperparameters for a machine learning model and/or feature engineering process. A suitable machine learning model and associated hyperparameters are determined by analyzing a dataset. Suitable hyperparameter values for compatible machine learning models having one or more hyperparameters in common and a compatible dataset schema are identified. Hyperparameters may be ranked according to each of their respective influences on a model performance metrics, and hyperparameter values identified as having greater influence may be more aggressively searched.

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San Francisco, CA, United States of America

Eric Wayman