probability

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Python version: 3.11.6 tensorflow==2.18.0 # via # -r requirements.in # tf-keras tensorflow-probability==0.24.0 # via -r requirements.in tf-keras==2.18.0 # via -r requirements.in I am trying to perform an analysis built on...

melanierbutler

Inference Gym: adding and/or updating ground truth expectations

3

(I've divided this into three subsections, and can split into separate issues if preferable) ## Length of ground truth runs As I understand it, the current ground truth estimates are...

reubenharry

There seems to be some inconsistency with the required versions: `setup.py` requires [TF >= 2.16](https://github.com/tensorflow/probability/blob/main/setup.py#L52), while the `__init__.py` runtime dependency check [requires 2.18](https://github.com/tensorflow/probability/blob/main/tensorflow_probability/python/__init__.py#L54). This leads to a simple failure when...

jonas-eschle

Hey! Thanks for opening this issue!

1

Hey! Thanks for opening this issue! I am also trying to use the codes for AutoBNN shared here to model this data, but it is giving me very big values...

Opiyo-Inno

Two changes to improve the error message when an optional dependency is missing 1. using an exception of the same type that was originally raised (i.e. `ImportError` or `ModuleNotFoundError`, but...

jonas-eschle

My understanding is that the Wishart distribution is well defined so long as df > k - 1. k is the dimension parameter, so the Wishart distribution has support over...

georgematheos

inference gym / numpyro compatibility

1

I'm looking to use Inference Gym targets in numpyro, but I'm running into issues I believe because there are numpy arrays in the Inference Gym model init, which causes tracer...

kylejcaron

MultiTaskGaussianProcessRegressionModel issue with tf.function

6

Hi, I have encountered an error when using `tf.function` decorator on a function calling `MultiTaskGaussianProcessRegressionModel` from the experimental package. The error occurs specifically when passing `input_signature` of unknown dimension to...

mengsiong

saiabhinav001

MCMC Estimation of Copula CAN'T WORK

3

The samples is the initial values. import numpy as np import os import re os.environ["CUDA_VISIBLE_DEVICES"] ="-1" from scipy.special import gamma import scipy.stats import tensorflow as tf from tensorflow.keras.models import Model...

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