Tutorials

These static jupyter notebooks demonstrate how to use DAML to perform data analysis tasks using various metrics to assess the suitability of a dataset and/or model.

In addition to viewing them in our documentation, these notebooks can also be opened in Google Colab to be used interactively!

Metrics

• Bayes Error Rate Estimation Tutorial

• Class Learning Curves Tutorial

• Drift Detection Tutorial

• HP Divergence Tutorial

• Outlier Detection Tutorial

• Dataset Sufficiency Analysis for Object Detection Tutorial

Models

• AE Trainer Tutorial