Patent ID: 11972861
Assignee: nan
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer implemented method of training a ML model ensemble for dynamic allocation of resources to a remote location or to a central location, comprising:
receiving a plurality of training values for a plurality of central location parameters of the central location;
training a central ML model using the training values for the plurality of central location parameters;
for each of a plurality of sample resources:
receiving training values for a plurality of remote location parameters;
training a respective ML model using the plurality of remote location parameters for the respective sample resource;
receiving a manual indication of allocation of the respective sample resource to the central location or the remote location;

creating a main training dataset including the plurality of training values for the plurality of central locations, and the training values for the plurality of remote location parameters for each of the plurality of sample resources labelled with the manual indication; and
training a main ML model using the training dataset for allocating a resource to at least one central location or to the respective remote location, wherein a subset of a plurality of resources are allocated to respective remote locations and another subset of the plurality of resources are allocated to at least one central location.