Invention Grant
- Patent Title: Computation platform agnostic data classification workflows
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Application No.: US15199351Application Date: 2016-06-30
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Publication No.: US10698954B2Publication Date: 2020-06-30
- Inventor: Szymon Piechowicz , Barak Reuven Naveh , Annie Hsin-Wen Liu , Ashish Gupta
- Applicant: Facebook, Inc.
- Applicant Address: US CA Menlo Park
- Assignee: Facebook, Inc.
- Current Assignee: Facebook, Inc.
- Current Assignee Address: US CA Menlo Park
- Agency: Artegis Law Group, LLP
- Main IPC: G06F16/901
- IPC: G06F16/901

Abstract:
Various embodiments include a classification platform system. A user can define a classification experiment on the classification platform system. For example, the user can define an input data space by selecting at least one of data sources interfaced with the classification platform system and defining a workflow configuration including a directed graph (DG) connecting a plurality of transformation blocks to represent an experiment workflow. The DG can specify how one or more outputs of each of the transformation blocks are fed into one or more other transformation blocks. The DG can be executed by various types of computation platforms. The classification platform system can schedule the experiment workflow to be executed on a distributed computation platform according to the input data space and the workflow configuration.
Public/Granted literature
- US20180004859A1 COMPUTATION PLATFORM AGNOSTIC DATA CLASSIFICATION WORKFLOWS Public/Granted day:2018-01-04
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