probability

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Bayesian MCMC model and Bayesian regression analysis model

2

I wonder the difference between Bayesian MCMC model and Bayesian regression analysis model. The tensorflow_probability library is being used. The code has been imported from Excel into the target value...

Peridein

Hi All, I noticed recently that stateless PRNG behaviour for `JointDistribution*` objects appear to do different things depending on whether random numbers are generated on GPU or CPU. This is...

chrism0dwk

Tensorflow probability not imported in my google colab. showing these error. how can i overcome this? !pip install --upgrade tensorflow-probability import tensorflow_probability --------------------------------------------------------------------------- ModuleNotFoundError Traceback (most recent call last) [](https://localhost:8080/#)...

Prithibee13

Can you break your dependency on dm-tree?

2

DM-tree [doesn't support Python 3.13](https://github.com/google-deepmind/tree/issues/119), which prevents tensorflow-probability from installing on Python 3.13 and therefore all projects that depend on it. Moreover, DM-tree appears to be unmaintained since they don't...

NeilGirdhar

tfp.sts.forcast only applies to future data. Is it possible to "predict" training data?

1

I am using the Structural Time Series of TensorFlow Probability. I separated my data(1 year) into training data (10 months) and test data (2 months). After building the model and...

HuangKY

Sampling from TruncatedNormal can yield NaN

2

Example: ```python from tensorflow_probability.substrates import jax as tfp tfp.distributions.TruncatedNormal( 0.5382424, 0.05, 0.80921564, 0.86921564 ).sample(seed=jax.random.PRNGKey(2)) ``` returns NaN. JAX version: 0.4.33. TFP version: 0.23.0.

georgematheos

Sampling from the Negative Binomial distribution (using jax substrates), especially using a small `total_count` parameter is very slow, compared to a jax only implementation. ```python import tensorflow_probability as tfp tfp.__version__...

stefanheyder

Background ---------------- Sometimes it would be useful to be able to trace intermediate values computed as part of a `JointDistribution*` model. The current solution to this is to make use...

chrism0dwk

Bug- False "UserWarning: Explicitly requested dtype <class 'jax.numpy.int64'> requested in astype is not available, and will be truncated to dtype int32

1

```python Python 3.9.19 (main, May 6 2024, 19:43:03) [GCC 11.2.0] :: Anaconda, Inc. on linux Type "help", "copyright", "credits" or "license" for more information. >>> import jax >>> import tensorflow_probability.substrates.jax...

eadadi

Bumps [tqdm](https://github.com/tqdm/tqdm) from 4.66 to 4.66.3. Release notes Sourced from tqdm's releases. tqdm v4.66.3 stable cli: eval safety (fixes CVE-2024-34062, GHSA-g7vv-2v7x-gj9p) tqdm v4.66.2 stable pandas: add DataFrame.progress_map (#1549) notebook: fix...

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