CPC G05B 13/021 (2013.01) [G06N 20/00 (2019.01); G06N 3/08 (2013.01); G06N 5/02 (2013.01); G06N 7/02 (2013.01)] | 20 Claims |
1. A system, comprising:
a memory that stores computer executable components;
a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise:
a computational resource component that collects computational resource data associated with a group of computing devices that performs a machine learning process associated with batch learning, wherein the computational resource data comprises:
respective resource data of computing devices of the group of computing devices,
target algorithm data that identifies, from a group of algorithms, respective types of respective algorithms that were employed to determine the respective resource data;
respective states of the computing devices; and
respective amounts of execution time that the respective algorithms having the respective types took to determine the respective resource data based on the respective states of the computing devices;
a batch interval component that determines, based on the computational resource data and one or more changes to the respective states of the computing devices, a first batch interval defining a time interval to collect input data for the machine learning process; and
a machine learning component that provides the first batch interval to the group of computing devices to facilitate execution of the machine learning process based on the batch interval; and
wherein the batch interval component determines a second batch interval defining an updated time interval to collect the input data for the machine learning process in response to a control signal received from an electronic device that monitors the group of computing devices.
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