Use our python library to instrument your machine learning model and track experiments. Setup should only take a few lines of code. If you're using a popular framework, we have a number of integrations to make setting up wandb easy.
We have more detailed docs generated from the code in Reference.
wandb.init — initialize a new run at the top of your training script
wandb.config — track hyperparameters
wandb.log — log metrics over time within your training loop
wandb.save — save files in association with your run, like model weights
wandb.restore — restore the state of your code when you ran a given run