Identification and application of hyperparameters for machine learning
Номер патента: EP3814939A1
Опубликовано: 05-05-2021
Автор(ы): Eric Wayman, Kevin Moore, Leah McGuire, Sarah AERNI, Shubha Nabar, Vitaly Gordon
Принадлежит: Salesforce com Inc
Опубликовано: 05-05-2021
Автор(ы): Eric Wayman, Kevin Moore, Leah McGuire, Sarah AERNI, Shubha Nabar, Vitaly Gordon
Принадлежит: Salesforce com Inc
Реферат: 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.
Systems and methods for machine learning-enhanced pairing of user search stimuli-to-online digital profile data
Номер патента: US20230281252A1. Автор: MENG Tao,Yi Qiao. Владелец: Trusli Inc. Дата публикации: 2023-09-07.