Method and apparatus for managing digital files

    公开(公告)号:US11899726B2

    公开(公告)日:2024-02-13

    申请号:US18061756

    申请日:2022-12-05

    Applicant: MemoryWeb, LLC

    Abstract: A computer-implemented method of associating digital tags with digital files comprises storing a plurality of digital files having embedded therein content data and metadata including tags; receiving, via a user interface device of a client device, a first tag label containing alphanumeric text created and inputted by a user of the client device; modifying, using a controller device, a selected first one of the tags of the metadata in a first of the digital files to include the first tag label; receiving, via the user interface device or another user interface device, an instruction to search for all of the digital files having at least the first tag label; responsive to receiving the instruction, automatically searching for all of the digital files having at least the first tag label; and displaying, on a video display device associated with the client device, a first indication of the first tag label.

    Preparing structured data sets for machine learning

    公开(公告)号:US11861462B2

    公开(公告)日:2024-01-02

    申请号:US16552857

    申请日:2019-08-27

    Abstract: A technique for automated preparation of tabular data for machine learning, including options for machine learning derived infill, feature importance evaluations, and/or dimensionality reduction. Validation data sets may be consistently prepared to training data sets based on properties of the training data saved in a metadata database. Additional data sets may be consistently prepared to training data sets based on properties of the training data saved in a returned metadata database such as for use in generating predictions from the trained ML system. Returned data sets may be prepared for oversampling of labels with lower frequency occurrence. Columns of a training data set are evaluated for appropriate categories of transformations, with the composition of transformation function applications designated by a defined tree of transformation category assignments to transformation primitives. Composition of transformation trees and their associated transformation functions may optionally be custom defined by a user.

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