GitHub / nishantuzir / neural-network-based-weighted-blending-mechanism
This is a weighted blending machine implemented using a neural network. The advantage of using a neural network is that the weights assigned to the models for the final result is assigned by the neural network based on backpropagation.
Stars: 1
Forks: 1
Open issues: 0
License: mit
Language: Python
Size: 26.4 KB
Dependencies parsed at: Pending
Created at: about 7 years ago
Updated at: over 3 years ago
Pushed at: almost 7 years ago
Last synced at: 5 months ago
Topics: backpropagation, blending, ensemble-learning, ensemble-model, neural-network, voting-classifier