pm4py | R Documentation |
This package provides access to the Python Process Mining library PM4PY in R and provides conversion between bupaR and PM4PY data structures.
pm4py
An object of class python.builtin.module
(inherits from python.builtin.object
) of length 1.
To use this package, you need to have a Python environment (Conda or virtualenv)
installed and install the PM4PY package and its dependencies. You can use
the convenience function install_pm4py to let reticulate
take care of
install the right version. See the documentation of this function for further
information.
When loaded, the object pm4py
provides the low-level interface to the main
PM4PY module. Use $
to access sub modules of PM4PY as described in the
reticulate
documentation:
vignette("calling_python", package = "reticulate")
For parts of PM4PY wrapper functions are provided to transparently convert parameters and results to and from the corresponding bupaR S3 classes.
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