Assembling models Shifu combo
Assembling models is try to leveraging different kinds of machine learning algorithm and combining them together to create an assemble model. See below:
Different machine learning algorithm has different capability to detect data pattern in large dataset. Assembling models could leverage all the capability of different algorithms and help to boost the overall performance. Meanwhile, assembling models can prevent overfit in some algorithm.
shifu combo -new NN,LR,GBT,LR
After this command a new file ComboTrain.json will be generated. You can edit configuration for each sub-models and assemble model.
