Results

Results objects in Pypomp are structured dataclasses that store the output of algorithmic methods, including log-likelihood estimates, parameter traces, and diagnostic information.

Each Pomp and PanelPomp object maintains a ResultsHistory that automatically records the outcome of every method call (e.g., pfilter, mif, train). In addition to accessing the stored values directly, you can access these results as tidy pandas DataFrames via the results() and traces() methods.

Results Containers

Result	Container for the output of a single inference run.
ResultsHistory	History log of results from multiple POMP runs.