We’ve created a Comet.ml cheat sheet for our users that want a handy one-page reference or for those who need an extra push to get started. Download it here or check out the highlights below!

Experiment Method Highlights

The core class of Comet.ml is an Experiment. An Experiment will automatically log scripts output (stdout/stderr), code, and command line arguments on any script and for the supported libraries will also log hyper parameters, metrics and model configuration.

Note: these methods are also available for existing experiments.

set_name : set a name for your experiment. This name will appear in the Comet experiment table and in the project visualizations legend so identifying specific versions of your model is easy.

log_dataset_hash : will just make a hash of whatever you give it, including a filename, or the entire contents of a file. You can look at the resulting hash and see if it is the same as another hash — a good way of seeing if your training runs are using the same training data.

log_asset : upload artifacts from your training run, whether they’re model weights or log files.

log_html : reports any HTML blob to the HTML tab on Comet.ml and is rendered as an Iframe. For example, you can also convert .ipynb files to html in order to log notebooks.