Version Control For ML Models, Explained

Version control is part of software configuration management used to keep track of changes to documents, computer programs, web sites etc.  For example, version control keeps track of the source code changes. In the event of code slip-ups (usually happens when more than one person works on the same project), it protects the code from unintended consequences resulting from human oversight. While building a machine learning model, a developer is accountable for questions such as the dataset used to train the model; hyperparameters; pipeline used to create the model; last deployed version of the model etc. This calls for the application of version control in machine learning models. Version control frameworks allow developers to look at the records, identify differences, and mer