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Bayesian Modeling and Probabilistic Programming in Python
https://docs.pymc.io/
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regression with Dirichlet process mixtures #3520

Closed Fangwq closed 5 years ago

Fangwq commented 5 years ago

I want to do regression with Dirichlet process mixtures model. And I refer to the example provided by this package. However, I do not figure it out. And I also tried Dirichlet process density regression. But it can't be used for data prediction.(I think this demo is wrong: https://docs.pymc.io/notebooks/dependent_density_regression.html).

The prediction error that the output dimension doesn't match: ''' ax.plot(lidar_pp_x, pp_trace['obs'].mean(axis=0), c='k', zorder=6, label='Posterior expected value'); ''' Does anyone know how to do regression with Dirichlet process mixtures? thank you very much! I use pymc3-3.6 and theano-1.04.

lucianopaz commented 5 years ago

These questions should be asked in our discourse channel and not in the issue tracker. Please ask it there.