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27 November 2021, 02:00:58 UTC
Revision 9d238398ce11b8beaad3811e67bfa7de006d79d5 authored by st-- on 20 June 2018, 14:59:06 UTC, committed by James Hensman on 20 June 2018, 14:59:06 UTC 
Notebook to demonstrate advanced usage such as combining GP with Neural Network (#712)
 
* added notebook

* added vanilla conv net accuracy

* Tidy up notebook

* ran notebook

* ran notebook #2

* add untested notebooks to test_notebooks

* fix bug in natural_gradients notebook

* add nb_niter and nb_range to only run a small number of iterations in continuous integration notebook tests

* make advanced_usage.ipynb use nb_iter()

* don't add natural_gradients.ipynb and upper_bound.ipynb notebook tests in this PR

* make advanced_usage run faster in CI

* clean up advanced_usage

* Update test_notebooks.py

* fix notebook_niter

* missing input_dim for CI

* update notebook

* another reset_default_graph_and_session call
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Tip revision: 9d238398ce11b8beaad3811e67bfa7de006d79d5 authored by st-- on 20 June 2018, 14:59:06 UTC
Notebook to demonstrate advanced usage such as combining GP with Neural Network (#712)
Tip revision: 9d23839
setup.py 
#!/usr/bin/env python
# -*- coding: utf-8 -*-

# pylint: skip-file

from setuptools import setup
from setuptools import find_packages

import re
import os
import sys
from pkg_resources import parse_version

# load version form _version.py
exec(open("gpflow/_version.py").read())

# Dependencies of GPflow
requirements = [
    'numpy>=1.10.0',
    'scipy>=0.18.0',
    'pandas>=0.18.1',
    'multipledispatch>=0.4.9',
    'pytest>=3.5.0',
    'h5py>=2.7.0',
]

min_tf_version = '1.5.0'
tf_cpu = 'tensorflow>={}'.format(min_tf_version)
tf_gpu = 'tensorflow-gpu>={}'.format(min_tf_version)

# Only detect TF if not installed or outdated.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) as e:
    # Add TensorFlow to dependencies to trigger installation/update
    requirements.append(tf_cpu)

packages = find_packages('.')
package_data={'gpflow': ['gpflow/gpflowrc']}

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,
      install_requires=requirements,
      package_data=package_data,
      include_package_data=True,
      test_suite='tests',
      extras_require={'Tensorflow with GPU': [tf_gpu]},
      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 :: 3.5',
          'Programming Language :: Python :: 3.6',
          'Topic :: Scientific/Engineering :: Artificial Intelligence'
      ])
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