Invention Grant
- Patent Title: Quick path to train, score, and operationalize a machine learning project
-
Application No.: US14562421Application Date: 2014-12-05
-
Publication No.: US10210463B2Publication Date: 2019-02-19
- Inventor: Pedro Ardila , Christina Storm , Mohan Krishna Bulusu , Raymond Ramin Laghaeian
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Workman Nydegger
- Main IPC: G06N99/00
- IPC: G06N99/00

Abstract:
Automatically detecting and anticipating that an additional machine learning experiment may be needed. A method includes after successfully running a first experiment workflow, automatically prompting a user that an additional experiment workflow may be needed based on specific criteria associated with the first experiment workflow. The method further includes receiving input from the user confirming the additional experiment workflow. As a result of receiving input from the user confirming the additional experiment workflow, the method further includes the system automatically reconfiguring the first experiment workflow, including automatically identifying all necessary modules for the additional experiment workflow and connecting them properly to perform the intended second experiment workflow. The method further includes displaying to the user the first experimental workflow transitioning from the first experiment workflow to the additional experiment workflow.
Public/Granted literature
- US20160162801A1 Quick Path to Train, Score, and Operationalize a Machine Learning Project Public/Granted day:2016-06-09
Information query