Reproducible ML Training Pipelines With dstack And WandB
Introduction To Training Pipelines
The typical machine learning training process consists of various tasks such as data preparation, model training, model validation, model deployment, and others.
Because you may want to iterate on your model even after you deploy it to production, it is paramount to automate these tasks, e.g. to run them with new data, hyper-parameters, changes in the...