- 专利标题: Automated data preprocessing for machine learning
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申请号: US15665224申请日: 2017-07-31
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公开(公告)号: US10817757B2公开(公告)日: 2020-10-27
- 发明人: Manish Sainani , Sergey Slepian , Di Lu , Adam Oliner , Jacob Leverich , Iryna Vogler-Ivashchanka , Iman Makaremi
- 申请人: Splunk Inc.
- 申请人地址: US CA San Francisco
- 专利权人: SPLUNK INC.
- 当前专利权人: SPLUNK INC.
- 当前专利权人地址: US CA San Francisco
- 代理机构: Shook, Hardy & Bacon L.L.P.
- 主分类号: G06F7/00
- IPC分类号: G06F7/00 ; G06K9/62 ; G06K9/00 ; G06N20/00 ; G06F16/2458 ; G06N5/02 ; G06F9/455
摘要:
Embodiments of the present invention are directed to facilitating data preprocessing for machine learning. In accordance with aspects of the present disclosure, a training set of data is accessed. A preprocessing query specifying a set of preprocessing parameter values that indicate a manner in which to preprocess the training set of data is received. Based on the preprocessing query, a preprocessing operation is performed to preprocess the training set of data in accordance with the set of preprocessing parameter values to obtain a set of preprocessed data. The set of preprocessed data can be provided for presentation as a preview. Based on an acceptance of the set of preprocessed data, the set of preprocessed data is used to train a machine learning model that can be subsequently used to predict data.
公开/授权文献
- US20190034767A1 AUTOMATED DATA PREPROCESSING FOR MACHINE LEARNING 公开/授权日:2019-01-31
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