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I don't think we currently have the ability to read in posteriors from MCMC that are saved as a HDF5 file, and chop chains in the results class. This can be useful when we identify we have further burn-in that needs to be removed but don't want to rerun the whole MCMC.
The text was updated successfully, but these errors were encountered:
Yup, what you suggested should work. Just remember that the total_orbits input to MCMC.run_sampler is actually num_steps_per_walker x num_walkers, so in your reshape command, n_steps should be the total_orbits input divided by num_walkers.
I don't think we currently have the ability to read in posteriors from MCMC that are saved as a HDF5 file, and chop chains in the results class. This can be useful when we identify we have further burn-in that needs to be removed but don't want to rerun the whole MCMC.
The text was updated successfully, but these errors were encountered: