Network MCS
The Network MCS module uses the Jaccard Index with Maximum Common Subgraph to generate a similarity score between IE models in the PBSHM network. This module works within the PBSHM Core software stack.
Within this module, you can select any IE models that are loaded into your PBSHM database (given that they meet the specification outlined in PBSHM Schema) and generate a similarity matrix (1 = similar, 0 = dissimilar) for the selected models.
This module was originally authored by Dr Julian Gosliga and has then since been maintained and updated to work with the PBSHM Core.
Installation
Install the package via pip:
pip install pbshm-network-mcs
Setup
Firstly, configure the PBSHM Core by following the outlined guide
Running
The application is run via the standard Flask command:
flask run
1 maintainer
Release files for pbshm-network-mcs 0.1.1
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Source distribution (sdist)
| File | Size | Uploaded | |
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| pbshm_network_mcs-0.1.1.tar.gz | 44.8 kB | Details |
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| pbshm_network_mcs-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 78.8 kB
Release files / pbshm_network_mcs-0.1.1.tar.gz
| Download URL | pbshm_network_mcs-0.1.1.tar.gz |
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