Learning-based automation machine learning code annotation in computational notebooks
US11360763B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 13, 2020 |
| Grant date | Jun 14, 2022 |
| Priority date | — |
| Expiry date | Jan 28, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
One embodiment of the invention provides a method for automated code annotation in machine learning (ML) and data science. The method comprises receiving, as input, a section of executable code. The method further comprises classifying, via a ML model, the section of executable code with a stage classification label indicative of a stage within a workflow for automated ML that the executable code applies to. The method further comprises categorizing, based on the stage classification label, the section of executable code with a category of annotation that is most appropriate for the section of executable code. The method further comprises generating a suggested annotation for the section of executable code based on the category of annotation. The method further comprises providing, as output, the suggested annotation to a display of an electronic device for user review. The suggested annotation is user interactable via the electronic device.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.