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

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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