This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import glob | |
import json | |
import time | |
import numpy as np | |
import pandas as pd | |
import streamlit as st | |
from bayesian_benchmarks import data as uci_datasets |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# Copyright 2021 Vincent Dutordoir | |
# | |
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software | |
# and associated documentation files (the "Software"), to deal in the Software without restriction, | |
# including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, | |
# and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, | |
# subject to the following conditions: | |
# | |
# The above copyright notice and this permission notice shall be included in all copies or substantial | |
# portions of the Software. |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import argparse | |
import os | |
import shutil | |
import imageio | |
import matplotlib.pyplot as _ | |
import matplotlib as mpl | |
import numpy as np | |
import tensorflow as tf |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
## Attempt at implementing the Gaussian Process Autoregressive Regression Model (GPAR). | |
# | |
# Main reference: | |
# | |
# @article{requeima2018gaussian, | |
# title={The Gaussian Process Autoregressive Regression Model (GPAR)}, | |
# author={Requeima, James and Tebbutt, Will and Bruinsma, Wessel and Turner, Richard E}, | |
# journal={arXiv preprint arXiv:1802.07182}, | |
# year={2018} | |
# } |