Output from scikit learn ML algorithms
I would recommend looking up this book. 
Introduction to Machine Learning with Python A Guide for Data Scientists by Andreas C. Müller, Sarah Guido
The book has code written to visualise various outputs for Machine Learning algorithms.
I want to know is there any way to see "under the hood" on other python sklearn algorithms. For example, I have created a decision tree classifier using sklearn and have been able to export the exact structure of the tree but would like to also be able to do this with other algorithms, for example KNN classification. Is this possible?