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    User interface based variable machine modeling
    11.
    发明授权
    User interface based variable machine modeling 有权

    公开(公告)号：US10942627B2

    公开(公告)日：2021-03-09

    申请号：US16660603

    申请日：2019-10-22

    Applicant: Palantir Technologies Inc.

    Inventor： Matthew Maclean ,  Benjamin Duffield ,  Mark Elliot

    IPC: G06F3/0482 ,  G06F3/0481 ,  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.

    Generation and graphical display of data transform provenance metadata
    13.
    发明授权
    Generation and graphical display of data transform provenance metadata 有权

    公开(公告)号：US11755614B2

    公开(公告)日：2023-09-12

    申请号：US17727578

    申请日：2022-04-22

    Applicant: Palantir Technologies Inc.

    Inventor： Matthew Maclean ,  Adam Borochoff ,  Jared Newman ,  Joseph Rafidi

    IPC: G06F16/26 ,  G06F16/27 ,  G06F16/22 ,  G06F16/21 ,  G06F16/25

    CPC classification number: G06F16/26 ,  G06F16/212 ,  G06F16/221 ,  G06F16/2282 ,  G06F16/258 ,  G06F16/27

    Abstract: Techniques for propagation of deletion operations among a plurality of related datasets are described herein. In an embodiment, a data processing method comprises, using a distributed database system that is programmed to manage a plurality of different raw datasets and a plurality of derived datasets that have been derived from the raw datasets based on a plurality of derivation relationships that link the raw datasets to the derived datasets: from a first dataset that is stored in the distributed database system, determining a subset of records that are candidates for propagated deletion of specified data values; determining one or more particular raw datasets that contain the subset of records; deleting the specified data values from the particular raw datasets; based on the plurality of derivation relationships and the particular raw datasets, identifying one or more particular derived datasets that have been derived from the particular raw datasets; generating and executing a build of the one or more particular derived datasets to result in creating and storing the one or more particular derived datasets without the specified data values that were deleted from the particular raw datasets; repeating the generating and executing for all derived datasets that have derivation relationships to the particular raw datasets; wherein the method is performed using one or more processors.

    USER INTERFACE BASED VARIABLE MACHINE MODELING
    15.
    发明申请
    USER INTERFACE BASED VARIABLE MACHINE MODELING 审中-公开

    公开(公告)号：US20200050329A1

    公开(公告)日：2020-02-13

    申请号：US16660603

    申请日：2019-10-22

    Applicant: Palantir Technologies Inc.

    Inventor： Matthew Maclean ,  Benjamin Duffield ,  Mark Elliot

    IPC: G06F3/0482 ,  G06F3/0481 ,  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
    16.
    发明授权
    User interface based variable machine modeling 有权

    公开(公告)号：US10552002B1

    公开(公告)日：2020-02-04

    申请号：US15655408

    申请日：2017-07-20

    Applicant: Palantir Technologies Inc.

    Inventor： Matthew Maclean ,  Benjamin Duffield ,  Mark Elliot

    IPC: G06F3/0482 ,  G06N99/00 ,  G06F3/0481 ,  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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