Dhanyamraju S U M Prasad,KANAKADANDI Satya Sai Prakash,SULTANPURKAR SRIGANESH,LEBURI Karthik,PEDDIREDDY VAMSI
申请号：
IN201711022439
公开号：
IN201711022439A
申请日:
2017.06.27
申请国别(地区):
IN
年份:
2017
代理人:
摘要：
The present disclosure relates to system(s) and method(s) for tuning an analytical model. The system builds a global analytical model based on modelling data received from a user. Further, the system analyses a target eco-system to identify a set of target eco-system parameters. The system further selects a sub-set of model parameters, corresponding to the set of target eco-system parameters, from a set of model parameters. Further, the system generates a local analytical model based on updating the global analytical model, based on the sub-set of model parameters and one or more PMML wrappers. The system further deploys the local analytical model at each node, from a set of nodes, associated with the target eco-system. Further, the system gathers test results from each node based on executing the local analytical model. The system further tunes the sub-set of model parameters associated with the local analytical model using federated learning algorithms.
