When you train a machine learning algorithm it is very important that you choose right set of parameters. When you don’t understand the in-side out of that algorithm it might be very difficult to choose and fine tune the parameters. Even if you understand the algorithm well, it might be daunting to run different iteration of training and evaluate a model with different combination of parameters – consider Neural Networks.
Microsoft Azure Machine Learning comes with a handy option to address the same with a module called Sweep Parameters. This module takes an untrained model along with training and validation data set and generates optimum parameter settings with just clicks.