Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
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aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
After carefully studying the example code for the multi-armed bandit on chapter six, I found a piece of code which I believe is missing a parameter: ``` def sample_bandits(self, n=1):...
Solves #516 Update Tim's decreasing function for euclidean distance from min to max as detailed in the code and https://arxiv.org/abs/1311.0704
With PyMC 4.0 almost ready, we should work on porting the examples here. Most models should continue to run just fine.
I have a minor question at Chapter 3. Why probability of belonging to cluster 1 was calculated as the following [Figure 1] rather than this? v = (1 - p_trace)...
"The black vertical line is the expected number of defects we should observe, given this model. This allows the user to see how the total number of events predicted by...
Executing the code for the model in the Challenger Space Shuttle Disaster example, it returns an AttributeError, roughly "tfp.bijectors has no attribute AffineScalar". After an unusually long search in the...
I could not make ystockquote to work no matter what I tried. Instead I used yahoo's yfinance package which has a straightforward api. I'm recording the updated code here in...
Hi, In the TFP version of Chapter 2, the original code of the plot_artificial_sms_dataset() function raises an error in evaluating a shape parameter. The error seems to be due to...
This notebook is about Pyro and it wrongly referred to TFP
There is a bayesian Maximum Entropy (BME) toolbox written in matlab: http://www.unc.edu/depts/case/BMEGUI/, but it is hard to use, is it difficult to do BME by pymc? Any advice or suggestion...