{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Example\n", "\n", "To use `opengenome` in a project:" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0.1.1\n" ] } ], "source": [ "import opengenome as og\n", "print(og.__version__)" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Welcome to Open-Genome Toolkit (OGT). Toolkit and data preparation pipeline for the Open-Genome Project.\n", "\n", "Open-Genome Project (OGP) is an open-source genome database for all types of AI models, using XAI techniques. We aim to map out areas of interest in various AI models that contribute to the skill & behaviour of AI models. Help researchers, ML engineers & decision makers, better understand & regulate AI development towards a safer, more useful, humanity aligned future.\n" ] }, { "data": { "text/plain": [ "1" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "og.about()" ] } ], "metadata": { "kernelspec": { "display_name": "opengenome", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.9" } }, "nbformat": 4, "nbformat_minor": 4 }