https://bugzilla.redhat.com/show_bug.cgi?id=1718997
Bug ID: 1718997
Summary: Review Request: python-pyfim - Frequent Item Set
Mining and Association Rule Induction
Product: Fedora
Version: rawhide
Hardware: All
OS: Linux
Status: NEW
Component: Package Review
Severity: medium
Priority: medium
Assignee: [email protected]
Reporter: [email protected]
QA Contact: [email protected]
CC: [email protected]
Target Milestone: ---
Classification: Fedora
Spec URL: https://ankursinha.fedorapeople.org/python-pyfim/python-pyfim.spec
SRPM URL:
https://ankursinha.fedorapeople.org/python-pyfim/python-pyfim-6.28-1.fc30.src.rpm
Description:
PyFIM is an extension module that makes several frequent item set mining
implementations available as functions in Python 2.7.x & 3.5.x. Currently
apriori, eclat, fpgrowth, sam, relim, carpenter, ista, accretion and apriacc
are available as functions, although the interfaces do not offer all of the
options of the command line program. (Note that lcm is available as an
algorithm mode of eclat.) There is also a "generic" function fim, which is
essentially the same function as fpgrowth, only with a simplified interface
(fewer options). Finally, there is a function arules for generating association
rules (simplified interface compared to apriori, eclat and fpgrowth, which can
also be used to generate association rules.
How to use the functions can be seen in the example scripts testfim.py and
testacc.py in the source package (directory pyfim/ex). From a Python script or
command prompt interface, call help(fim), help(apriori) (or help(fim.apriori)),
help(eclat) (or help(fim.eclat)) etc. or print, for example, apriori.__doc__,
eclat.__doc__ etc. for a description of the functions and their arguments.
This extension module was originally developed for Python 2.7. The shared
objects made available above were compiled particularly for Python 2.7.11 and
Python 3.5.1 on Ubuntu 16.04 LTS and the dynamic modules made available above
were compiled for Python 2.7.10 and Python 3.5.1 on Windows 10.
Fedora Account System Username: ankursinha
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