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.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nishantuzir%2Fneural-network-based-weighted-blending-mechanism
PURL: pkg:github/nishantuzir/neural-network-based-weighted-blending-mechanism
Stars: 1
Forks: 1
Open issues: 0
License: mit
Language: Python
Size: 26.4 KB
Dependencies parsed at:
4
Created at: about 7 years ago
Updated at: almost 4 years ago
Pushed at: about 7 years ago
Last synced at: 8 months ago
Topics: backpropagation, blending, ensemble-learning, ensemble-model, neural-network, voting-classifier
- numpy ==1.14.1
- pandas ==0.22.0
- scikit-learn ==0.19.1
- xgboost ==0.7