DISCOVERING AN INVALID PERFORMANCE VALUE
    6.
    发明公开

    公开(公告)号:US20240338291A1

    公开(公告)日:2024-10-10

    申请号:US18132154

    申请日:2023-04-07

    IPC分类号: G06F11/34

    CPC分类号: G06F11/3409

    摘要: A method, system, and computer program product that is configured to: create a three dimensional space by analyzing historical performance data; find an edge surface in the three dimensional space by determining a curve which intersects a plane in the three dimensional space; build a filter based on the edge surface in the three dimensional space; perform a logical operation between raw performance data and the built filter; determine whether the raw performance data has an invalid data value based on a result of the logical operation between the raw performance data and the built filter; and generate an alert that indicates that the raw performance data has the invalid data value in multiple data values in response to determining that a number of raw performance data instances having the invalid data value reaches a predetermined threshold counter number.

    GENERATING ML PIPELINES USING EXPLORATORY AND GENERATIVE CODE GENERATION TOOLS

    公开(公告)号:US20240330753A1

    公开(公告)日:2024-10-03

    申请号:US18194478

    申请日:2023-03-31

    申请人: Fujitsu Limited

    IPC分类号: G06N20/00 G06F11/34

    CPC分类号: G06N20/00 G06F11/3409

    摘要: Operations include receiving an input dataset associated with a machine learning (ML) task and generating a first ML pipeline associated with the ML task by executing a code generation tool. The operations further include executing one or more exploratory code generation tools and selecting a pipeline component from the set of pipeline components. Also included are modification of the first ML pipeline based on the selection to generate a second ML pipeline and determination of a first performance metric by executing the first ML pipeline on the input dataset. The operations further include determining a second performance metric by executing the second ML pipeline on the input dataset and controlling an electronic device to render an ML pipeline recommendation as one of the first ML pipeline or the second ML pipeline, based on a comparison of the first performance metric with the second performance metric.

    APPARATUS, METHOD AND STORAGE MEDIUM FOR DATABASE QUERY

    公开(公告)号:US20240330286A1

    公开(公告)日:2024-10-03

    申请号:US18192381

    申请日:2023-03-29

    申请人: ZILLIZ INC.

    摘要: An apparatus, a method, and a storage medium for database query. The apparatus, method, and storage medium are configured to: determine a syntax tree corresponding to an SQL query statement includes a preset subtree, wherein the preset subtree is used to indicate a query mode for querying vector data; determine a query mode according to the preset subtree and the SQL query statement; query data in a database based on the query mode to determine query results. By using an SQL query statement including a preset subtree to query a vector database, to realize an efficient approximate query, so as to avoid high access costs caused by accessing the database by using an API. Moreover, it can reduce user's understanding costs on unstructured query.

    SNAPSHOTTING OF PERFORMANCE MONITORING
    10.
    发明公开

    公开(公告)号:US20240330146A1

    公开(公告)日:2024-10-03

    申请号:US18194400

    申请日:2023-03-31

    申请人: Intel Corporation

    IPC分类号: G06F11/34

    CPC分类号: G06F11/3495 G06F11/3409

    摘要: Techniques for snapshotting of performance monitoring are described. In an embodiment, an apparatus includes a plurality of performance monitoring hardware resources, hardware to capture a record of state data related to state of the apparatus in connection with an occurrence of an event, and storage to store a first indicator corresponding to at least a first performance monitoring hardware resource of the plurality of performance monitoring hardware resources and to enable the hardware to include, in the record, performance data from the first performance monitoring hardware resource.