Method and system for training model by using training data
US11615346B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 24, 2018 |
| Grant date | Mar 28, 2023 |
| Priority date | — |
| Expiry date | Jan 27, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of the present disclosure provide a method and system for training a model by using training data. The training data includes a plurality of samples, each sample includes N features, and features in the plurality of samples form N feature columns, and the method includes: determining an importance value of each of the N feature columns; determining whether the importance value of each of the N feature columns satisfies a threshold condition; performing a dimension reduction on M feature columns to generate P feature columns in response to the determination that the importance values of the M feature columns do not satisfy the threshold condition, wherein M<N and P<M; merging (N−M) feature columns having importance values that satisfy the threshold condition and the generated P feature columns to obtain (N−M+P) feature columns; and training the model based on the training data including the (N−M+P) feature columns.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.