Convert csv to libsvm format

5 views (last 30 days)
Nourhan
Nourhan on 15 Sep 2014
Answered: gaurang solanki on 19 Feb 2021
Hi,
How can I convert csv format into sparse compatible for libsvm format?

Answers (1)

gaurang solanki
gaurang solanki on 19 Feb 2021
Q: How to convert other data formats to LIBSVM format?
It depends on your data format. A simple way is to use libsvmwrite in the libsvm matlab/octave interface. Take a CSV (comma-separated values) file in UCI machine learning repository as an example. We download SPECTF.train. Labels are in the first column. The following steps produce a file in the libsvm format.
matlab> SPECTF = csvread('SPECTF.train'); % read a csv file
matlab> labels = SPECTF(:, 1); % labels from the 1st column
matlab> features = SPECTF(:, 2:end);
matlab> features_sparse = sparse(features); % features must be in a sparse matrix
matlab> libsvmwrite('SPECTFlibsvm.train', labels, features_sparse);
The tranformed data are stored in SPECTFlibsvm.train.
Alternatively, you can use convert.c to convert CSV format to libsvm format.
LINK :--- https://www.csie.ntu.edu.tw/~cjlin/libsvm/faq.html

Categories

Find more on Statistics and Machine Learning Toolbox in Help Center and File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!