Invention Publication
- Patent Title: MACHINE LEARNING FACETS FOR DATASET PREPARATION IN STORAGE DEVICES
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Application No.: US17821513Application Date: 2022-08-23
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Publication No.: US20240069787A1Publication Date: 2024-02-29
- Inventor: Kalapriya Kannan , Chaitra Kallianpur , Bruce Rabe , Suparna Bhattacharya , Krishnaraju Thangaraju
- Applicant: Hewlett Packard Enterprise Development LP
- Applicant Address: US TX Houston
- Assignee: Hewlett Packard Enterprise Development LP
- Current Assignee: Hewlett Packard Enterprise Development LP
- Current Assignee Address: US TX Houston
- Main IPC: G06F3/06
- IPC: G06F3/06

Abstract:
Examples described herein relate to preparing datasets in a storage device for machine learning (ML) applications. Examples include maintaining ML facet mappings between ML facets and dataset preparation tags, deriving ML facets of a dataset stored in the storage device, and generating filtered datasets from the datasets using the ML facets and ML facet mappings. The filtered dataset is associated with improved dataset quality compared to unfiltered dataset. The storage device transmits the filtered dataset to ML applications requesting the dataset. Some examples include recommending, by the storage device, ML facets to the ML application based on performance metrics.
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