Originally published at: https://developer.nvidia.com/blog/predicting-credit-defaults-using-time-series-models-with-recursive-neural-networks-and-xgboost/
Today’s machine learning (ML) solutions are complex and rarely use just a single model. Training models effectively requires large, diverse datasets that may require multiple models to predict effectively. Also, deploying complex multi-model ML solutions in production can be a challenging task. A common example is when compatibility issues with different frameworks can lead to…