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pmkoalas 0.3.1
pmkoalas: A Process Mining Project
pmkoalas provides data structures for process mining research in a well-organized pythonic style.
Current Features
Event log structures
Importing and exporting of logs to XES formatted XML
Several views/types of log
Simplified logs
This type only considers sequences of process activities, and
nothing else.
Complex logs
This type considers sequences of events. Where an event is a
mapping of data. This log type can always be reduced to the
simplified type.
Generating logs quickly using delimited strings
currently only supports simplified logs
Process model structures
Petri nets
exporting to pnml
creating dot files for a net
generation of a net using fragments of desirable behaviour
Process discovery techniques
Generating a directly follows language from a log
The Alpha miner (original variant)
Development Information
To install dependencies:
py -m pip install -e .[dev]
Testing
To run tests:
py -m unittest
The values of the team
Postel's law
"Be liberal in what you accept, and conservative in what you send"
https://en.wikipedia.org/wiki/Jon_Postel
Branches off main are meant to be either merged in a timely manner,
or show off a potential feature, or should be removed/released back
into the wild.
Features need a use case or a user before they can be explored
in detail.
It is better to delete code that is not used, than to keep it
around. You have written it once, you will write it better the
next time. Don't be afraid to let it go.
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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