Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
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CamDavidsonPilon
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 ;)
I created a new virtual environment and tried to install the requirement via `pip install -r requirements.txt` On ububtu 16.04 and python 2.7.12. the error: Collecting ipython>=2.0 (from -r requirements.txt...
Work in progress to get this running under [Binder (beta)](https://mybinder.org/), the free Jupyter notebook execution environment in the cloud. To use: just click on `launch binder` button in README.md (which...
After running all cells in the chapter 2 notebook for over 30 minutes, it seems to have all run. But suddenly, without warning at the very end, the notebook was...
In Chapter 5, when the code is provided for inferring the true price for the showcase, the following function is defined: ``` python @pm.potential def error(true_price=true_price, price_estimate=price_estimate): return pm.normal_like(true_price, price_estimate,...
Hi @matthew-mcateer, I tried to modify the code in order to get stable results. By doing so I came across this 'feature': `intSeed = 12345 generate = tfd.Normal(0, 1) ####...
Hi there, in the following line the variable used should be `p_deterministic`: `simulated_data = tfd.Bernoulli(name="bernoulli_sim", probs=p_deterministic_).sample(sample_shape=10000)` p_deterministic_ is evaluated after this step.
Hi there, the kwarg 'normed' in plt.histo was deprecated in matplotlib since 2.1 and should be changed into 'density'. By the way: Thanks to all contributers - awesome work! And...
Dear Maintainer, Thanks for this great awesome project. To make the environment more reproducible and more easier to get started, I write a Dockerfile for the project. So if anyone...
https://stackoverflow.com/questions/38045437/how-to-fix-py872-axes-color-cycle-is-deprecated-and-replaced-with-axes-prop-c
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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 ;)