Shogun Machine Learning Toolbox aims at offering a wide range of efficient and unified machine learning algorithms with great accessibility. In this regard, i wish to take up this project which will make it easier to use Shogun and increase its applications. This will also aim to modernize the code base. This project, which is in continuation with the Continuous Detox II, is about providing control and information to the user when an expensive algorithm is called through another interface for instance Python,R etc. The framework for a lot of cool classes is already in place however it need to be systematically implemented shogun wide. Also, I will work on interface for Feature Visualization in TensorBoard.