USER INTERFACE BASED VARIABLE MACHINE MODELING

    公开(公告)号:US20210255745A1

    公开(公告)日:2021-08-19

    申请号:US17162451

    申请日:2021-01-29

    Abstract: In various example embodiments, a comparative modeling system is configured to receive selections of a data set, a transform scheme, and one or more machine-learning algorithms. In response to a selection of the one or more machine-learning algorithms, the comparative modeling system determines parameters within the one or more machine-learning algorithms. The comparative modeling system generates a plurality of models for the one or more machine-learning algorithms, determines comparison metric values for the plurality of models, and causes presentation of the comparison metric values for the plurality of models.

    USER INTERFACE BASED VARIABLE MACHINE MODELING

    公开(公告)号:US20240211106A1

    公开(公告)日:2024-06-27

    申请号:US18596983

    申请日:2024-03-06

    CPC classification number: G06F3/0482 G06F3/04817 G06N20/00

    Abstract: In various example embodiments, a comparative modeling system is configured to receive selections of a data set, a transform scheme, and one or more machine-learning algorithms. In response to a selection of the one or more machine-learning algorithms, the comparative modeling system determines parameters within the one or more machine-learning algorithms. The comparative modeling system generates a plurality of models for the one or more machine-learning algorithms, determines comparison metric values for the plurality of models, and causes presentation of the comparison metric values for the plurality of models.

    User interface based variable machine modeling

    公开(公告)号:US11954300B2

    公开(公告)日:2024-04-09

    申请号:US17162451

    申请日:2021-01-29

    CPC classification number: G06F3/0482 G06F3/04817 G06N20/00

    Abstract: In various example embodiments, a comparative modeling system is configured to receive selections of a data set, a transform scheme, and one or more machine-learning algorithms. In response to a selection of the one or more machine-learning algorithms, the comparative modeling system determines parameters within the one or more machine-learning algorithms. The comparative modeling system generates a plurality of models for the one or more machine-learning algorithms, determines comparison metric values for the plurality of models, and causes presentation of the comparison metric values for the plurality of models.

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