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It would be really nice to see both features coming soon :-).
For MCMC Classification there is only one fit_predict method which is not practical for an productional use (because its necessary to train the model each time one want to predict an example).
Also the warm_start functionality of the other solvers is really nice but not available for this solver.
The text was updated successfully, but these errors were encountered:
For MCMC Classification there is only one fit_predict method which is not practical for an productional use (because its necessary to train the model each time one want to predict an example).
It is always the case for MCMC (applied to non-linear models) that the predictions can only be calculated while training the model.
Also the warm_start functionality of the other solvers is really nice but not available for this solver.
True, it's only available for mcmc regression. It should be possible to implement the classification using the same approach. Are you still interested after learning that mcmc models are hard to use in production? ;-)
It would be really nice to see both features coming soon :-).
For MCMC Classification there is only one fit_predict method which is not practical for an productional use (because its necessary to train the model each time one want to predict an example).
Also the warm_start functionality of the other solvers is really nice but not available for this solver.
The text was updated successfully, but these errors were encountered: