https://github.com/GPflow/GPflow
- HEAD
- refs/heads/0.5.0
- refs/heads/alan/hackathon_docs
- refs/heads/andrewl/fix_GPR_posterior_leading_dim
- refs/heads/avullo-willcowley/working-bee-ef1
- refs/heads/awav/check-det
- refs/heads/awav/develop-2.0/hmc-helper
- refs/heads/awav/develop-2.0/update-parameter-docstring
- refs/heads/awav/different-stuff
- refs/heads/awav/gpflow-2.0-squared_distances
- refs/heads/awav/inference
- refs/heads/awav/kernel-structure
- refs/heads/awav/likelihoods-positive-minimum
- refs/heads/awav/natural-gradients
- refs/heads/awav/release-pip-package
- refs/heads/awav/release-testing-branch
- refs/heads/awav/tensor-functor
- refs/heads/awav/tfp
- refs/heads/awav_documentation
- refs/heads/blockkernel
- refs/heads/cone
- refs/heads/deep
- refs/heads/deep_arccos_kernel
- refs/heads/develop
- refs/heads/develop-1.0
- refs/heads/eps_conditionals
- refs/heads/fast-grad
- refs/heads/felix/pathologies_experiment
- refs/heads/fergus/anisotropy
- refs/heads/fergus/het_sgpr
- refs/heads/fergus/linear
- refs/heads/fergus/linear_noise
- refs/heads/fergus/notebook
- refs/heads/fergus/random_init_lin_noise
- refs/heads/fxsm/new_svgp
- refs/heads/gh-pages
- refs/heads/gplvm
- refs/heads/gplvm-fullcov
- refs/heads/gustavocmv/heterocedastic-gaussian-likelihood
- refs/heads/gustavocmv/multiclass-likelihood-quadrature-test
- refs/heads/gustavocmv/ndiagghquadrature-property-setter
- refs/heads/gustavocmv/varying-noise-notebook-comment
- refs/heads/hugh/broadcasting_matched_multi_sample
- refs/heads/hughsalimbeni-broadcasting-conditional
- refs/heads/icouckuy-derivatives
- refs/heads/james-vincent/sgpr
- refs/heads/jax
- refs/heads/jesper/1956/stateless_random
- refs/heads/jesper/dimobjs
- refs/heads/jesper/dimobjswtf
- refs/heads/jesper/fix_gpflux
- refs/heads/jesper/for_hv
- refs/heads/jesper/jn_gps
- refs/heads/jesper/warped_halton
- refs/heads/joelb/type-hint-config
- refs/heads/john-bradshaw/binary-class-GP
- refs/heads/john-bradshaw/derivative-observations
- refs/heads/john-bradshaw/linear-features-for-kernels
- refs/heads/john-bradshaw/linear-features-for-kernels-gpflow1.0
- refs/heads/john/linear
- refs/heads/mark/jitter
- refs/heads/master
- refs/heads/master-1.0
- refs/heads/master_profile_mnist
- refs/heads/merging-masters
- refs/heads/mnist
- refs/heads/mnist_datatypes
- refs/heads/multiclass_slicing
- refs/heads/multioutput
- refs/heads/nbtest
- refs/heads/nested_models_recompilation
- refs/heads/nicolas/sinc_kernel
- refs/heads/parallel_tests
- refs/heads/profiling_mods
- refs/heads/profiling_mods_paper
- refs/heads/pypi
- refs/heads/requirements_fix
- refs/heads/revert-1511-master
- refs/heads/robustmax_epsilon_learnable
- refs/heads/sc336/mypy-sudden-failure
- refs/heads/sc336/python-3-11
- refs/heads/sc336/sphinx_version_switcher
- refs/heads/sergio_pasc/gpflow-2.0/adapt-sgpmc-and-gpmc
- refs/heads/sergio_pasc/gpflow-2.0/adapt-sgpr
- refs/heads/sergio_pasc/gpflow-2.0/move-gplvm-tests
- refs/heads/sergio_pasc/gpflow-2.0/move-multioutput-features-tests
- refs/heads/sergio_pasc/gpflow-2.0/move-quadrature-tests
- refs/heads/sergio_pasc/gpflow-2.0/move-tests-methods
- refs/heads/sergio_pasc/gpflow-2.0/ordinal_regression
- refs/heads/sergio_pasc/gpflow-2.0/parameter_transform
- refs/heads/sergio_pasc/gpflow-2.0/remove_training_loop
- refs/heads/spascual/add-mailmap-file
- refs/heads/st---metaautoflow
- refs/heads/st/clean_up_broadcasting_conditionals
- refs/heads/st/fix_active_dims_2
- refs/heads/st/fix_config_module_docstring
- refs/heads/st/fix_test_method_equivalence
- refs/heads/st/fix_typo
- refs/heads/st/fxsm
- refs/heads/st/fxsm_closure
- refs/heads/st/inv_probit_jitter_arg
- refs/heads/st/new_svgp
- refs/heads/st/posterior
- refs/heads/st/posterior_with_linear_operators
- refs/heads/st/quickfix/dispatch_docs
- refs/heads/st/quickfix/posterior
- refs/heads/st/quickfix_num_latent
- refs/heads/st/rename_slow_multioutput
- refs/heads/st/reorder_covariances
- refs/heads/st/rescue_754
- refs/heads/st/snowflake_kernel
- refs/heads/st/test_cleanup
- refs/heads/st/test_for_shape_check
- refs/heads/st/test_kernel
- refs/heads/st/triangular
- refs/heads/st_FITCvsVFE_2.0
- refs/heads/stef/fxsm
- refs/heads/tf2.0-compatible
- refs/heads/transform_on_sided
- refs/heads/v1.5.1-docs
- refs/heads/va/additive_models
- refs/heads/va/gpf/conditional_kernel
- refs/heads/va/gpf/seeger_lik
- refs/heads/va/h
- refs/heads/vdutor/multiple-output-gps
- refs/heads/vincent/add-shared-mixed-mok
- refs/heads/vincent/cholesky-to-kl
- refs/heads/vincent/hotfix/preslicing-lmc
- refs/heads/vincent/hotfix/save-keras-model
- refs/heads/vincent/introspect-conditional
- refs/heads/vincent/more-predict-functions
- refs/heads/vincent/nbviewer
- refs/heads/vincent/quickfix/dynamic-shapes-quadrature
- refs/heads/vincent/quickfix/typo
- refs/heads/vincent/shared-mixed-mok
- refs/heads/vincent/st/heteroscedastic
- refs/heads/vincent/st/multi-output-likelihoods
- refs/heads/vincent/update-readme
- refs/heads/whitening
- refs/tags/0.2.1
- refs/tags/0.3.1
- refs/tags/0.3.2
- refs/tags/0.3.3
- refs/tags/0.3.4
- refs/tags/0.3.5
- refs/tags/0.4.0
- refs/tags/0.5.0
- refs/tags/1.0.0
- refs/tags/1.1.0
- refs/tags/1.1.1
- refs/tags/2.0.0-rc1
- refs/tags/v1.4.1
- refs/tags/v1.5.0
- refs/tags/v1.5.1
- refs/tags/v2.0.0
- refs/tags/v2.0.1
- refs/tags/v2.0.2
- refs/tags/v2.0.3
- refs/tags/v2.0.4
- refs/tags/v2.0.5
- refs/tags/v2.1.0
- refs/tags/v2.1.1
- refs/tags/v2.1.2
- refs/tags/v2.1.3
- refs/tags/v2.1.4
- refs/tags/v2.1.5
- refs/tags/v2.2.0
- refs/tags/v2.2.1
- refs/tags/v2.3.0
- refs/tags/v2.3.1
- refs/tags/v2.4.0
- refs/tags/v2.5.0
- refs/tags/v2.5.1
- refs/tags/v2.5.2
- refs/tags/v2.6.0
- refs/tags/v2.6.1
- refs/tags/v2.6.2
- refs/tags/v2.6.3
Raw File
Take a new snapshot of a software origin
If the archived software origin currently browsed is not synchronized with its upstream version (for instance when new commits have been issued), you can explicitly request Software Heritage to take a new snapshot of it.
Use the form below to proceed. Once a request has been submitted and accepted, it will be processed as soon as possible. You can then check its processing state by visiting this dedicated page.![swh spinner](/static/img/swh-spinner.gif)
Processing "take a new snapshot" request ...
Permalinks
To reference or cite the objects present in the Software Heritage archive, permalinks based on SoftWare Hash IDentifiers (SWHIDs) must be used.
Select below a type of object currently browsed in order to display its associated SWHID and permalink.
Tip revision: 91c6fb11a268bf061e6aee5f4d5a1d5dd056c7e9 authored by Jesper Nielsen on 26 September 2022, 10:05:04 UTC
Merge pull request #1987 from GPflow/jesper/likelihoods-positive-minimum
Merge pull request #1987 from GPflow/jesper/likelihoods-positive-minimum
Tip revision: 91c6fb1
misc.py
# Copyright 2017-2020 The GPflow Contributors. All Rights Reserved.
#
# 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.
from .base import MonteCarloLikelihood
from .scalar_continuous import Gaussian
class GaussianMC(MonteCarloLikelihood, Gaussian): # type: ignore[misc]
"""
Stochastic version of Gaussian likelihood for demonstration purposes only.
"""
pass