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__init__.py
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__init__.py
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# Copyright 2018 The TensorFlow Probability Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ============================================================================
"""Methods and objectives for variational inference."""
from tensorflow_probability.python.vi import mutual_information
from tensorflow_probability.python.vi.csiszar_divergence import amari_alpha
from tensorflow_probability.python.vi.csiszar_divergence import arithmetic_geometric
from tensorflow_probability.python.vi.csiszar_divergence import chi_square
from tensorflow_probability.python.vi.csiszar_divergence import csiszar_vimco
from tensorflow_probability.python.vi.csiszar_divergence import csiszar_vimco_helper
from tensorflow_probability.python.vi.csiszar_divergence import dual_csiszar_function
from tensorflow_probability.python.vi.csiszar_divergence import jeffreys
from tensorflow_probability.python.vi.csiszar_divergence import jensen_shannon
from tensorflow_probability.python.vi.csiszar_divergence import kl_forward
from tensorflow_probability.python.vi.csiszar_divergence import kl_reverse
from tensorflow_probability.python.vi.csiszar_divergence import log1p_abs
from tensorflow_probability.python.vi.csiszar_divergence import modified_gan
from tensorflow_probability.python.vi.csiszar_divergence import monte_carlo_csiszar_f_divergence
from tensorflow_probability.python.vi.csiszar_divergence import monte_carlo_variational_loss
from tensorflow_probability.python.vi.csiszar_divergence import pearson
from tensorflow_probability.python.vi.csiszar_divergence import squared_hellinger
from tensorflow_probability.python.vi.csiszar_divergence import symmetrized_csiszar_function
from tensorflow_probability.python.vi.csiszar_divergence import t_power
from tensorflow_probability.python.vi.csiszar_divergence import total_variation
from tensorflow_probability.python.vi.csiszar_divergence import triangular
from tensorflow_probability.python.vi.optimization import fit_surrogate_posterior
from tensorflow.python.util.all_util import remove_undocumented # pylint: disable=g-direct-tensorflow-import
_allowed_symbols = [
'amari_alpha',
'arithmetic_geometric',
'chi_square',
'csiszar_vimco',
'csiszar_vimco_helper',
'dual_csiszar_function',
'fit_surrogate_posterior',
'jensen_shannon',
'jeffreys',
'kl_forward',
'kl_reverse',
'log1p_abs',
'modified_gan',
'monte_carlo_csiszar_f_divergence',
'monte_carlo_variational_loss',
'mutual_information',
'pearson',
'squared_hellinger',
'symmetrized_csiszar_function',
'total_variation',
'triangular',
't_power',
]
remove_undocumented(__name__, _allowed_symbols)