{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Evaluate Adjacency Matrices" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import pickle" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "m_act = pickle.load(open(\"m_act.pickle\", \"rb\"))\n", "m_mix = pickle.load(open(\"m_mix.pickle\", \"rb\"))\n", "m_base_act = pickle.load(open(\"m_base_act.pickle\", \"rb\"))\n", "m_base_mix = pickle.load(open(\"m_base_mix.pickle\", \"rb\"))" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "c_act = m_act.get_csr()\n", "c_mix = m_mix.get_csr()\n", "c_base_act = m_base_act.get_csr()\n", "c_base_mix = m_base_mix.get_csr()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.7.5rc1" } }, "nbformat": 4, "nbformat_minor": 4 }