LFD Book Forum  

Go Back   LFD Book Forum > Course Discussions > Online LFD course > Homework 8

Reply
 
Thread Tools Display Modes
  #1  
Old 10-03-2013, 11:56 AM
GB449 GB449 is offline
Member
 
Join Date: Aug 2013
Posts: 20
Default HW8 Q2-6 Converting digit data to libsvm format

I am not clear how to convert digit data ("digit symmetry intensity") to the libsvm format ("+/1 a:b c:d ...").

For e.g. for zero versus all will

0.0000000e+00 2.8954102e-01 -4.6441250e+00 from features.train

translate to

1 2.8954102e-01:-4.6441250e+00

Does anyone have transformed files for Qs 2 and 3 that I can use instead of writing a program to do the transformations?

Thanks!
Reply With Quote
  #2  
Old 11-30-2018, 01:34 AM
Degutis Degutis is offline
Junior Member
 
Join Date: Nov 2018
Posts: 3
Default Re: HW8 Q2-6 Converting digit data to libsvm format

Quote:
Originally Posted by GB449 View Post
I am not clear how to convert digit data ("digit symmetry intensity") to the libsvm format ("+/1 a:b c:d ...").

For e.g. for zero versus all will

0.0000000e+00 2.8954102e-01 -4.6441250e+00 from features.train

translate to

1 2.8954102e-01:-4.6441250e+00

Does anyone have transformed files for Qs 2 and 3 that I can use instead of writing a program to do the last minute essay service transformations?


Thanks!
Hello GB449,

I used csv2libsvm.py to convert csv to libsvm data. Currently looking for the ways to convert dataframes to libsvm format. Have you tried to use dataset in grid.py as well?

Best,
R Degutis
Reply With Quote
Reply

Tags
homework 8

Thread Tools
Display Modes

Posting Rules
You may not post new threads
You may not post replies
You may not post attachments
You may not edit your posts

BB code is On
Smilies are On
[IMG] code is On
HTML code is Off

Forum Jump


All times are GMT -7. The time now is 11:04 AM.


Powered by vBulletin® Version 3.8.3
Copyright ©2000 - 2018, Jelsoft Enterprises Ltd.
The contents of this forum are to be used ONLY by readers of the Learning From Data book by Yaser S. Abu-Mostafa, Malik Magdon-Ismail, and Hsuan-Tien Lin, and participants in the Learning From Data MOOC by Yaser S. Abu-Mostafa. No part of these contents is to be communicated or made accessible to ANY other person or entity.