TensorFlow Probability

Hi everyone, I have a timeseries based ML pipeline. The algorithm used in it is STS from Tensorflow.

Hi everyone, I'm currently learning Bayesian approaches through the book "Rethinking"

Can you link me to an updated colab where I can reproduce the error? On Wed, Nov 15, 2023 at 11:46

Here's an example notebook of the things I'm trying to import: https://colab.research.google.

Thanks for the pointer Pavel. I reinstalled the packages and then started a new kernel, and this

Hi Colin, Thank you very much for your time and explanation. They have helped me tremendously! This

Colin- Many Thanks for your prompt response. Initially I found employing tfd.Mixture() to specify the

In traditional machine learning models, we use predict and it gives the point that always lies on

The general term for this in TensorFlow Probability is "JointDistribution". A couple of

This is to generalise that covariance matrix must have the following properties: It is symmetric It

So I tried with the following example normal_batch_dist = tfd.Normal(loc=normal_dist.loc, scale=1) tf

Thank you so much. Regards, Damian On Fri, Apr 14, 2023 at 11:26 PM Brian Patton 🚀 <b...@google.com

Thank you Chris! I had a feeling it was something simple like this. On Wed, Mar 22, 2023 at 10:42 PM

Hello everyone, I am trying to learn posterior conditional density distributions of the form p(x|y)

sorry meant tfb.ScaleMatvecTriL On Mon, Feb 27, 2023 at 12:17 PM Christopher Suter <c...@google.com

I am running into this error now - ValueError: Dimensions must be equal, but are 60000 and 10 for

Hi Christopher, I am trying to debug a utility model I have writing in tensorflow probability. I am

Use DenseVariational with a prior trainable distribution with a small deviation. But I spikes is not

Hello. Recently I made a neural network for three categories of discrete distributions. I don't

This seems essentially correct to me, although I didn't 100% understand every single sentence. On

Hey rif I have fixed the numpy broadcasting documentation url here in this PR https://github.com/

Hi, I am trying to do a similar thing, did u get any help? On Tuesday, 28 September 2021 at 01:13:47

Hey -- sorry for the late response. Can you be more specific about the unexpected behavior? The model

Hello TFP community, Could someone please review the PR #1639 [link] or suggest a reviewer? I

Hi, Is it possible to pass the output of a neural network built with Keras into a joint distribution

I would think that snowfall would be partially causally attributed to temperature, humidity, and

Thanks! This makes sense now Regards, Gurkirat Singh (Website: https://tbhaxor.com) On Mon, Oct 31,

To create a normal prior and posterior I use this code: def prior(kernel_size, bias_size, dtype=None)

Hi Mike! This is a great topic. I suggest creating a new thread and I'm happy to share some

How to create a model with two DistributionLambda. One passa the result to another?