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    Method and system for generating a parser and parsing complex data
    112.
    发明授权
    Method and system for generating a parser and parsing complex data 有权

    公开(公告)号：US08903717B2

    公开(公告)日：2014-12-02

    申请号：US14187164

    申请日：2014-02-21

    Applicant: Palantir Technologies, Inc.

    Inventor： Mark Elliot

    IPC: G06F17/27 ,  G06F17/30

    CPC classification number: G06F17/2705 ,  G06F8/427 ,  G06F17/30595 ,  G06F17/30985

    Abstract: Computer-implemented systems and methods are disclosed for constructing a parser that parses complex data. In some embodiments, a method is provided for receiving a parser definition as an input to a parser generator and generating a parser at least in part from the parser definition. In some embodiments, the generated parser comprises two or more handlers forming a processing pipeline. In some embodiments, the parser receives as input a first string into the processing pipeline. In some embodiments, the parser generates a second string by a first handler and inputs the second string regeneratively into the parsing pipeline, if the first string matches an expression specified for the first handler in the parser definition.

    SYSTEM AND METHODS FOR LIVE DATA MIGRATION
    114.
    发明申请
    SYSTEM AND METHODS FOR LIVE DATA MIGRATION 有权

    公开(公告)号：US20240411734A1

    公开(公告)日：2024-12-12

    申请号：US18809197

    申请日：2024-08-19

    Applicant: Palantir Technologies Inc.

    Inventor： Joseph ELLIS ,  Mark Elliot ,  Robert Fink ,  Sandor Van Wassenhove

    IPC: G06F16/21 ,  G06F16/23 ,  G06F16/245

    Abstract: Systems and methods are provided for data migration. The system may comprise one or more processors and a memory storing instructions that, when executed by the one or more processors, cause the system to migrate at least one first table of a first database schema to at least one second table of a second database schema, determine a query for modifying the first table during the migration, modify the second table based at least in part on the query, and update a mutation table to describe the modification, wherein the mutation table at least describes the modification.

    USER INTERFACE BASED VARIABLE MACHINE MODELING
    116.
    发明公开
    USER INTERFACE BASED VARIABLE MACHINE MODELING 审中-公开

    公开(公告)号：US20240211106A1

    公开(公告)日：2024-06-27

    申请号：US18596983

    申请日：2024-03-06

    Applicant: Palantir Technologies Inc.

    Inventor： Matthew Maclean ,  Benjamin Duffield ,  Mark Elliot

    IPC: G06F3/0482 ,  G06F3/04817 ,  G06N20/00

    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
    117.
    发明授权
    User interface based variable machine modeling 有权

    公开(公告)号：US11954300B2

    公开(公告)日：2024-04-09

    申请号：US17162451

    申请日：2021-01-29

    Applicant: Palantir Technologies Inc.

    Inventor： Matthew Maclean ,  Benjamin Duffield ,  Mark Elliot

    IPC: G06F3/0482 ,  G06F3/04817 ,  G06N20/00

    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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