Invention Grant
- Patent Title: Systems and methods of remote machine learning training with remote submission and execution through a coding notebook
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Application No.: US16816248Application Date: 2020-03-11
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Publication No.: US11625282B2Publication Date: 2023-04-11
- Inventor: Kartik Mathur , Ritesh Jaltare , Saurabh Jogalekar
- 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
- Agency: Sheppard Mullin Richter & Hampton LLP
- Main IPC: G06F9/50
- IPC: G06F9/50 ; G06F9/54 ; G06F16/901 ; G06N20/00

Abstract:
Systems and methods are provided for remote submission and execution of machine learning models. Embodiments in accordance with the present disclosure enable an instance of a notebook client running on a user terminal to remotely submit model code entered into the cells of the instance to a selected training cluster. The instance is instantiated without configuring the instance with a specific compute engine. A management system communicatively coupled to the user terminal and the training clusters maintains a data structure including configuration parameters for the training clusters. The instance receives a selection of a training cluster and is provided with the configuration parameters from the management system for the selected training cluster for attaching the training cluster to the instance.
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