gsp-python 0.0.7

GSP Python implementation

GSP-python

A Python implementation of Generalized Sequential Patterns (GSP) algorithm for sequential pattern mining

This project implements the Generalized Sequential Patterns (GSP) algorithm to find frequent sequences within a given dataset. This implementation includes parameters for the mingap, maxgap, and maxspan time constraints.

The project also features a simple dataset generator.

Installation

python3 -m pip install gsp-python

Usage

To run the gsp algorithm:

python3 -m gsp-python GSP infile outfile minsup -t maxgap mingap maxspan

To generate a random dataset:

python3 -m gsp-python DatasetGen outfile size nevents maxevents avgelems

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For more information about arguments and additional optional arguments, type:

python3 -m gsp-python GSP -h

or

python3 -m gsp-python DatasetGen -h

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Alternatively, the modules can be manually imported and used in a script. An example is given below:

from gsp_py.gsp import load_ds
from gsp_py.gsp import GSP

dataset, {}, {} = load_ds("path/to/file.txt")

algo_gsp = GSP(dataset, minsup=0.3, mingap=1, maxgap=2, maxspan=5)
output = algo_gsp.run_gsp()