Update pymc3\examples #2947
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Update pymc3\examples #2947
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added 6 commits
April 23, 2018 09:41
Move custom logp outside of model block to avoide `AttributeError: Can't pickle local object 'build_model.<locals>.logp'`
- Change scale of prior - increase tuning and target_accept Note that there are still ~5 divergences per 1000 samples after tunning, further reparameterization is necessary.
No more divergence with more informative priors.
avoid `ValueError: Mass matrix contains zeros on the diagonal.`
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LGTM |
agustinaarroyuelo
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Feb 8, 2019
* Update arbitrary_stochastic.py Move custom logp outside of model block to avoide `AttributeError: Can't pickle local object 'build_model.<locals>.logp'` * Reduce divergence - Change scale of prior - increase tuning and target_accept Note that there are still ~5 divergences per 1000 samples after tunning, further reparameterization is necessary. * remove unnecessary comments * Change prior for model No more divergence with more informative priors. * Use more realistic prior to avoid divergence * Change init for sample avoid `ValueError: Mass matrix contains zeros on the diagonal.`
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Rerun all examples under current master