TensorFlow的概率方法
TensorFlow的概率方法This is the 0.6.0-rc1 release candidate of TensorFlow Probability. It is tested against TensorFlow 1.13.0-rc2.
Assets
2
Assets
2
This is the RC0 release candidate of the TensorFlow Probability 0.6 release.
It is tested against TensorFlow 1.13.0-rc0
Assets
2
Release Notes
This is the 0.5.0 release of TensorFlow Probability. It's tested and stable against TensorFlow 1.12.
Packaging Change
As of this release, we no longer package a separate GPU-specific build. Users can select the version of TensorFlow they wish to use (CPU or GPU), and TensorFlow Probability will work with both.
As a result, we no longer explicitly list a TensorFlow dependency in our package requirements (since we can't know which version the user will want). If TFP is installed with no TensorFlow package present, or with an unsupported TensorFlow version, we will issue an ImportError
at time of import.
Distributions & Bijectors
- All
Distribution
s have been relocated fromtf.distributions
totfp.distributions
(the ones in TF are deprecated and will be deleted in TF 2.0). - Add Triangular distribution.
- Add Zipf distribution.
- Add NormalCDF Bijector.
- Add Multivariate Student's t-distribution.
- Add RationalQuadratic kernel.
Documentation & Examples
- Add example showing how to fit GLMM using Variational Inference.
- Introduce Gaussian process latent variable model colab.
- Introduce Gaussian process regression example colab
- Add notebook showcasing GLM algorithms and deriving some results about GLMs that those algorithms leverage.
Huge thanks to all the contributors to this release!
- Akshay Modi
- Alexey Radul
- Anudhyan Boral
- Ashish Saxena
- Ben Zinberg
- Billy Lamberta
- Brian Patton
- Christopher Suter
- Dave Moore
- Ian Langmore
- Joshua V. Dillon
- Kristian Hartikainen
- Malcolm Reynolds
- Pavel Sountsov
- Srinivas Vasudevan
- Xiaojing Wang
- Yifei Feng
Assets
2
This is the RC1 release candidate of the TensorFlow Probability 0.5 release.
It is tested against TensorFlow 1.12.0-rc2
Assets
2
This is the RC0 release candidate of the TensorFlow Probability 0.5 release.
It is tested against TensorFlow 1.12.0-rc2
TensorFlow Probability 0.3.0-rc2
csuter released this
This is the rc1 release. We never actually built rc1, since we needed to cherrypick a few more things.
This release is tested against TensorFlow v1.10.0
TensorFlow Probability 0.2.0
csuter released this
This is the 0.2 release of TensorFlow Probability, our first versioned release.
It is tested against TensorFlow 1.9.0.
TensorFlow Probability 0.2.0-rc0
csuter released this
This is release candidate rc0, of our 0.2 release of TensorFlow Probability.
It is tested against TensorFlow 1.9.0.
TensorFlow Probability 0.1.0-rc1
csuter released this
Release 0.1.0-rc1
This is release candidate rc1, of our first versioned release of TensorFlow Probability.
It is tested against TensorFlow 1.9.0-rc1.
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创建时间： 2017-10-24 07:50:54 |
最后Commits： 昨天 |
许可协议：Apache-2.0 |
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Verified
csuter released this
Feb 27, 2019
Release notes
This is the 0.6 release of TensorFlow Probability. It is
tested and stable against TensorFlow version 1.13.1.
Change notes
make_value_setter
interceptor to set values of Edward2 random variables.forward(x)
orinverse(y)
with the samex
ory
value.tfp.Distribution
->tfd.Distribution
.posterior_marginals
toHiddenMarkovModel
num_adaptation_steps
argument tomake_simple_step_size_update_policy
.tfp.layers.DistributionLambda
to enable plumbingtfd.Distribution
instances through Keras models.tfb.Exp(tfd.Normal(0,1))
.Huge thanks to all the contributors to this release!