autistic-symposium/ml-netclean-py

👾 package to cleanse complex networks data, extracted from the ml-graph-network-analyser

Python

ml-netclean

👉🏼 this package cleanses complex networks data, extracted from the ml-graph-network-analyser

👉🏼 the final cleansed data files can then be ingested into the mlnet-complex-networks project

overview

1. cleansing the data

here we get all the outputs from ml-graph-network-analyser and put them together into vector files (separated by network type and sampling groups)
these files must have a header (or missing values must be completed with '-')

2. organizing the data

here, the files above are organized into vector files for each network
an additional column for the classes is added
the header is removed from these files
missing values are completed with 0

3. generating the final files

here, the vectors files are read from the previous step to create a unified file for all the data