Identification and application of hyperparameters for machine learning
US11526799B2 · kind B2 · utility
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8Claims
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Key dates
| Filing date | Jan 31, 2019 |
| Grant date | Dec 13, 2022 |
| Priority date | — |
| Expiry date | Apr 22, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.