add random seed to all pymc examples for reproducible results #149
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This closes #139. By adding a random seed, the results are reproducible. Users won't get confused if their results differ slightly from what is in the examples. It will also stop the results from changing slightly on each re-execution of the example notebooks.
I also re-ran the
generate_plotsnotebook, so we have updated figures for the README.I did not add random seeds to the tests though - I felt it unnecessary as we aren't testing for exact results at this point.