Unit Testing implementations or wrappers of machine learning algorithms

Let's say, I have an implementation of logistic regression. Are there canned examples (say test and training sets and expected error) that I can leverage to assess that performance of my implementation is as expected?

Would be great to know how the community thinks about unit testing machine learning in general - regression, classification, unsupervised methods..