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公开(公告)号:US20170243132A1
公开(公告)日:2017-08-24
申请号:US15050785
申请日:2016-02-23
Applicant: Splunk Inc.
Inventor: Manish SAINANI , Sergey SLEPIAN , Iman MAKAREMI , Adam Jamison OLINER , Jacob LEVERICH , Di LU
Abstract: Disclosed herein is a computer-implemented tool that facilitates data analysis by use of machine learning (ML) techniques. The tool cooperates with a data intake and query system and provides a graphical user interface (GUI) that enables a user to train and apply a variety of different ML models on user-selected datasets of stored machine data. The tool can provide active guidance to the user, to help the user choose data analysis paths that are likely to produce useful results and to avoid data analysis paths that are less likely to produce useful results.
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公开(公告)号:US20210133634A1
公开(公告)日:2021-05-06
申请号:US17146339
申请日:2021-01-11
Applicant: SPLUNK INC.
Inventor: Lin MA , Jacob LEVERICH , Adam OLINER , Alex CRUISE , Hongyang ZHANG
IPC: G06N20/00 , G06F7/08 , H04L29/08 , H04L29/06 , G06F16/28 , G06F16/951 , G06F16/2455 , G06F16/903 , H04L12/24
Abstract: Embodiments of the present invention are directed to facilitating distributed data processing for machine learning. In accordance with aspects of the present disclosure, a set of commands in a query to process at an external computing service is identified. For each command in the set of commands, at least one compute unit including at least one operation to perform at the external computing service is identified. Each of the at least one compute unit associated with each command is analyzed to identify an optimized manner in which to execute the set of commands at the external computing service. An indication of the optimized manner in which to execute the set of commands and a corresponding set of data is provided to the external computing service to utilize for executing the set of commands at the external computing service.
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