{ "cells": [ { "cell_type": "markdown", "metadata": { "id": "htW5SiGzeXYm" }, "source": [ "##### Copyright 2018 The TensorFlow Probability Authors.\n", "\n", "Licensed under the Apache License, Version 2.0 (the \"License\");" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "cellView": "form", "id": "9HGeUNoteaSm" }, "outputs": [], "source": [ "#@title Licensed under the Apache License, Version 2.0 (the \"License\"); { display-mode: \"form\" }\n", "# you may not use this file except in compliance with the License.\n", "# You may obtain a copy of the License at\n", "#\n", "# https://www.apache.org/licenses/LICENSE-2.0\n", "#\n", "# Unless required by applicable law or agreed to in writing, software\n", "# distributed under the License is distributed on an \"AS IS\" BASIS,\n", "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n", "# See the License for the specific language governing permissions and\n", "# limitations under the License." ] }, { "cell_type": "markdown", "metadata": { "id": "JJ3UDciDVcB5" }, "source": [ "# 베이지안 가우시안 혼합 모델 및 해밀턴 MCMC\n", "\n", "
TensorFlow.org에서 보기 | \n", "Google Colab에서 실행하기 | \n", "GitHub에서 보기 | \n", "노트북 다운로드하기 | \n", "