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21 November 2022, 03:07:34 UTC
Revision 5d6336f1d9d62fd4a3fc144d36a65c3c9d344890 authored by Artem Artemev on 27 October 2019, 16:41:50 UTC, committed by Artem Artemev on 27 October 2019, 16:46:49 UTC 
GPflow 2.0 notebook update: SGPR upper bound (#1116)
 
This PR updates the understanding/upper_bound.ipynb to work in gpflow2.

It fixes the upper_bound code in gpflow/models/sgpr.py and restores the original (tighter) test tolerance that had both been changed by commit 45efebc

The plots don't quite match up to what was in the GPflow1 version (nor does the tight bound in the 1-inducing-point example at the end), but otherwise this seems to work.
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Tip revision: 5d6336f1d9d62fd4a3fc144d36a65c3c9d344890 authored by Artem Artemev on 27 October 2019, 16:41:50 UTC
GPflow 2.0 notebook update: SGPR upper bound (#1116)
Tip revision: 5d6336f
setup.py 
#!/usr/bin/env python
# -*- coding: utf-8 -*-

# pylint: skip-file

import os
from pathlib import Path

from pkg_resources import parse_version
from setuptools import find_packages, setup

# Dependencies of GPflow
requirements = [
    'numpy>=1.10.0',
    'scipy>=0.18.0',
    'multipledispatch>=0.4.9',
    'tensorflow-probability>=0.8',
    'tabulate',
]

min_tf_version = '2.0.0'
tf_cpu = 'tensorflow'
tf_gpu = 'tensorflow-gpu'

# Only detect TF if not installed or outdated. If not, do not do not list as
# requirement to avoid installing over e.g. tensorflow-gpu
# To avoid this, rely on importing rather than the package name (like pip).

try:
    # If tf not installed, import raises ImportError
    import tensorflow as tf
    if parse_version(tf.__version__) < parse_version(min_tf_version):
        # TF pre-installed, but below the minimum required version
        raise DeprecationWarning("TensorFlow version below minimum requirement")
except (ImportError, DeprecationWarning):
    # Add TensorFlow to dependencies to trigger installation/update
    requirements.append(tf_cpu)


with open(str(Path(".", "VERSION").absolute())) as version_file:
    version = version_file.read().strip()

packages = find_packages('.', exclude=["tests"])

setup(name='gpflow',
      version=version,
      author="James Hensman, Alex Matthews",
      author_email="james.hensman@gmail.com",
      description="Gaussian process methods in TensorFlow",
      license="Apache License 2.0",
      keywords="machine-learning gaussian-processes kernels tensorflow",
      url="http://github.com/GPflow/GPflow",
      packages=packages,
      include_package_data=True,
      install_requires=requirements,
      extras_require={'Tensorflow with GPU': [tf_gpu]},
      python_requires=">=3.6",
      classifiers=[
          'License :: OSI Approved :: Apache Software License',
          'Natural Language :: English',
          'Operating System :: MacOS :: MacOS X',
          'Operating System :: Microsoft :: Windows',
          'Operating System :: POSIX :: Linux',
          'Programming Language :: Python :: 3.6',
          'Topic :: Scientific/Engineering :: Artificial Intelligence'
      ])
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