Example Notebooks

• Basic Tutorial

  This is a simple example using a synthetic tabular dataset and scikit-learn-based model to illustrate the main parts of the Cobalt interface. The same example is outlined in the Tutorial.

• Text Classification

  Uses Cobalt to explore and debug a transformer-based text classification model from Hugging Face. Requires the transformers package to be installed.

• Data Drift

  A simple illustration of how Cobalt can help diagnose and understand data drift even in the absence of a model or model performance metrics.

• Image Clustering with CLIP

  This is an example that demonstrates the use of Cobalt to make sense of the ImageNette dataset, and explore its target labels, by making use of embeddings generated by the CLIP model.

  This notebook requires the OpenAI clip package to be installed, which includes torch, torchvision, etc…