Machine learning data set management
AssigneeAmazon Technologies, Inc.
InventorsAlex Anto Chirayath, Jeremy Paul Michael Feltracco
Life of this patent
Estimating the term…
Abstract
Centralized data set management techniques are implemented for data sets for machine learning applications. New data sets may be created from a search of managed data set labels. Data objects of the managed data sets that are found in the search are then used to generate a new data set. The new data set is then made available for machine learning applications to use.
Claims20
A system, comprising:
- at least one processor;
- and
- a memory, storing program instructions that when executed by the at least one processor, cause the at least one processor to:
- store, by a machine learning data set management system, one or more data sets comprising respectively labeled data objects and respective metadata describing the one or more data sets;
- receive, via an interface of the machine learning data set management system, a request to create a new data set from the one or more data sets, wherein the request specifies one or more labels used to identify data objects from the one or more data sets to create the new data set;
- search, by the machine learning data set management system, the respective metadata describing the one or more data sets and the respective labels of the data objects included in the one or more data sets that match the specified one or more labels to identify the data objects from the one or more data sets to create the new data set;
- create, by the machine learning data set management system, the new data set that includes the identified data objects from the one or more data set;
- and
- make, by the machine learning data set management system, the new data set available for access by one or more machine learning applications.
A method, comprising:
- receiving, via an interface of a machine learning data set management system, a request to create a new data set from one or more data sets managed by the machine learning data set management system, wherein the request specifies one or more labels used to identify data objects from the one or more data sets to create the new data set;
- searching, by the machine learning data set management system, respective labels of respective data objects included in the one or more data sets that match the specified one or more labels to identify the data objects from the one or more data sets to create the new data set;
- creating, by the machine learning data set management system, the new data set that includes the identified data objects from the one or more data set;
- and
- making, by the machine learning data set management system, the new data set available for access by one or more machine learning applications.
One or more non-transitory, computer-readable storage media, storing program instructions that when executed on or across one or more computing devices cause the one or more computing devices to implement:
- receiving, via an interface of a machine learning data set management system, a request to create a new data set from one or more data sets managed by the machine learning data set management system, wherein the request specifies one or more labels used to identify data objects from the one or more data sets to create the new data set;
- searching, by the machine learning data set management system, respective labels of respective data objects included in the one or more data sets that match the specified one or more labels to identify the data objects from the one or more data sets to create the new data set;
- creating, by the machine learning data set management system, the new data set that includes the identified data objects from the one or more data set;
- and
- making, by the machine learning data set management system, the new data set available for access by one or more machine learning applications.
Dependencies are inferred from the claim text.