Building Boosted ensemble with shallow neural network
The main idea of this simple repository is to build an ensemble of the Multi-layer perceptrons (classifier and regressor) with the AdaBoost boosting approach.
Includes the neural networks with the weighting method, which samples the instances with the bagging approach and lets the AdaBoost assign weight to each instance.
As the example shows, you only have to consider the Neural Network from the MLP as the base estimator and it will do the math.
0.0.1
10.Oct.2022