{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "THIS EXERCISE IS BEING DEVELOPED (will be added after example with Model Quality)\n", "\n", "\n", "# 3a. Exercise\n", "\n", "### >>> Your turn! \n", "\n", "- Now that we created, analyzed and monitored `drift in data quality` and `feature attribution drift for models in production` create another monitor for `bias drift related to bias in your model's predictions`.\n", "\n", "\n", "Extra - you could also monitor you model quality by gathering more ground truth data and analyze quality metrics, such how the accuracy chages over time." ] } ], "metadata": { "kernelspec": { "display_name": "", "name": "" }, "language_info": { "name": "" } }, "nbformat": 4, "nbformat_minor": 4 }