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Comet Tips and Tricks

Here's a collection of tips and tricks in the Comet MLOps platform, including adding multiple metrics to a built-in chart panel, filtering experiments, setting experiments as baselines in a new project, and more.

Advanced ML: Multi-file Jobs

As the complexity of your training pipeline grows, you may find it beneficial to start modularizing code. In this report, we outline best practices for passing the Comet Experiment object between different files within a project.

Advanced ML: Parameter Optimization

A guide to using an Iterative Strategy for Hyperparameter Optimization.

Profiling Datasets

In this report we explore how to log profiles of your Pandas DataFrames, use them to assess the quality of your inputs, and identify the data constraints of your model.

Advanced ML: Parallelism

In this report we explore two of the most common methods for parallelized training in Machine Learning: Data Parallelism and Inter-Model Parallelism.

Logging Curves to Comet

Learn how to visualize your ROC and Precision-Recall Curves using Comet Reports and Panels.

Creating Panels with Vega

Learn how to build Vega visualizations directly in Comet Panels. This report will walk you through working with the Vega Visualization Grammar.

Custom Visualizations to Debug Object Detection Models

See how custom panels can help visualize predictions from Object Detection Models.
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