Self-learned reference mechanism for computer model selection
AssigneeInternational Business Machines Corporation
InventorsJiang Bo Kang, Yao Dong Liu, Jun Wang, Dong Hai Yu, Bo Song
Life of this patent
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Abstract
A method, system, and computer program product for self-learning reference mechanisms for model selection in AutoAI. The method identifies a set of data summary statistics within a data set. A data pattern group is identified within the set of data summary statistics. The data pattern group is determined to be mature. A model selection acceleration mechanism (MSAM) model is generated based on the data pattern group. The method predicts a set of top-k models for the data set based on the MSAM model.
Claims20
A computer-implemented method, comprising:
- identifying a set of data summary statistics within a data set;
- identifying a data pattern group within the set of data summary statistics;
- determining that the data pattern group is mature;
- generating a model selection acceleration mechanism (MSAM) model based on the data pattern group;
- and
- predicting a set of top-k models for the data set based on the MSAM model.
A system, comprising:
- one or more processors;
- and
- a computer-readable storage medium, coupled to the one or more processors, storing program instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
- identifying a set of data summary statistics within a data set;
- identifying a data pattern group within the set of data summary statistics;
- determining that the data pattern group is mature;
- generating a model selection acceleration mechanism (MSAM) model based on the data pattern group;
- and
- predicting a set of top-k models for the data set based on the MSAM model.
A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions being executable by one or more processors to cause the one or more processors to perform operations comprising:
- identifying a set of data summary statistics within a data set;
- identifying a data pattern group within the set of data summary statistics;
- determining that the data pattern group is mature;
- generating a model selection acceleration mechanism (MSAM) model based on the data pattern group;
- and
- predicting a set of top-k models for the data set based on the MSAM model.
Dependencies are inferred from the claim text.