void testICA(){
TrivialDataset data;
data.loadData("../data/minist1_lcn_mlp.bin", "../data/minist1_lcn_label.bin");
Logistic logi(data.getFeatureNumber(), data.getLabelNumber());
TrainModel logisticModel(logi);
logisticModel.train(&data, 0.13, 500, 1000);
}
void testGPCRTraining(){
TrivialDataset data;
data.loadData("../data/GPCR/GPCR_Binary.data", "../data/GPCR/GPCR_Binary.label");
data.rowNormalize();
Logistic logi(data.getFeatureNumber(), data.getLabelNumber());
TrainModel logisticModel(logi);
logisticModel.train(&data, 0.01, 1, 1000, 30);
}
void testWFICA(){
TrivialDataset data;
data.loadData("../data/minist1_lcn_mlp.bin", "../data/minist1_lcn_label.bin");
MLP mlp;
MLPLayer *firstLayer = new TanhLayer(data.getFeatureNumber(), 500);
Logistic *secondLayer = new Logistic(500, data.getLabelNumber());
mlp.addLayer(firstLayer);
mlp.addLayer(secondLayer);
TrainModel mlpModel(mlp);
mlpModel.train(&data, 0.01, 20, 1000);
}