Influence graph analysis, consistency check, repair and prediction
Project description
Installation
You can install iggy by running:
$ pip install --user iggy
The executable scripts can then be found in ~/.local/bin.
Usage
Typical usage is:
$ iggy.py network.sif observation.obs --show_colorings 10
For more options you can ask for help as follows:
$ iggy.py -h usage: iggy.py [-h] [--autoinputs] [--scenfit] [--show_colorings SHOW_COLORINGS] [--show_predictions] networkfile observationfile positional arguments: networkfile influence graph in SIF format observationfile observations in bioquali format optional arguments: -h, --help show this help message and exit --autoinputs compute possible inputs of the network (nodes with indegree 0) --scenfit compute scenfit of the data, default is mcos --show_colorings SHOW_COLORINGS number of colorings to print, default is OFF, 0=all --show_predictions show predictions
The second script contained is opt_graph.py Typical usage is:
$ opt_graph.py network.sif observations_dir/ --show_repairs 10
For more options you can ask for help as follows:
$ opt_graph.py -h usage: opt_graph.py [-h] [--autoinputs] [--show_repairs SHOW_REPAIRS] [--opt_graph] networkfile observationfiles positional arguments: networkfile influence graph in SIF format observationfiles directory of observations in bioquali format optional arguments: -h, --help show this help message and exit --autoinputs compute possible inputs of the network (nodes with indegree 0) --show_repairs SHOW_REPAIRS number of repairs to show, default is OFF, 0=all --opt_graph compute opt-graph repairs (allows also adding edges), default is only removing edges
Samples
Sample files available here:: iggy_demo_data.tar.gz
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
iggy-0.1.tar.gz
(300.4 kB
view hashes)