3. Train models
Start small, finish big
With MLOps you can train your model on fractions of the dataset, until you are confident enough your algorithm kicks ass. Choose to train on a single four core machine, or a 100 node GPU cluster.
Use any framework
MLOps support most common frameworks like TensorFlow, PyTorch and Scikit-Learn. Whatever your preference, you can compare models against common metrics.
Collaborate and learn
As your team sets the star metric for a project, it is easy to view and review your colleagues work as you strive for perfection. Everything from parameters to source code for the pipeline is readily available for deep comparisons.