vdutor

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

vdutor

# 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.

vdutor

import argparse
import os
import shutil

import imageio
import matplotlib.pyplot as _
import matplotlib as mpl
import numpy as np
import tensorflow as tf

vdutor

## 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}
# }