10 Best Model Versioning Tools for Your ML Workflow

In recent times, Machine Learning has gained importance due to its ability to guide businesses in making precise and accurate decisions. Under the hood, Machine Learning is an iterative and repetitive process. Series of training jobs are done to optimize a model’s predictive performance.

Without the right methods, it is easy to lose track of experimentations with training datasets, hyperparameters, evaluation metrics, and model artifacts. This might in the long run be problematic when you need to reproduce an experiment.

In this article, I will be discussing my top 10 model versioning tools that can greatly improve your workflow. In detail, the outline of this article will be as follows:

1. What is model versioning and why is it so important?
2. Model versioning vs data versioning
3. What tools can be used for model versioning
4. How do these tools compare with each other?

What is model versioning and why is it so important?