Scripts to convert csv files to libsvm format for machine learning operations

modified from phraug by zygmuntz

This is a first attempt at improving the csv2libsvm script for converting csv data files to libsvm format. The latter is commonly used for machine learning (e.g. MLLIB).

A linux shell script version of the script is also in development.

Additions to original csv2libsvm

• returning result to STDOUT instead of output file csv2libsvm.py <input file> stdout <label index> <skip headers> <convert string classes> <output dict>

• allowing the use of last column as label/class csv2libsvm.py <input file> <output file> last <skip headers> <convert string classes> <output dict>

• introducing a string classes conversion function for non-numeric classes csv2libsvm.py <input file> <output file> last <skip headers> convert_string <output dict> note that output dict will show the mapping between your non-numeric classes and the numeric classes they are mapped to

Format conversion

csv2libsvm.py <input file> <output file> [<label index = 0>] [<skip headers = 0>]

Convert CSV to LIBSVM format. If there are no labels in the input file, specify label index = -1. If there are headers in the input file, specify skip headers = 1.