becky93/librf

Automatically exported from code.google.com/p/librf

librf's Issues

[deleted issue]

[deleted issue]

compiler error due to 'assert'

What steps will reproduce the problem?
1. make

I had to add #include <assert.h> to both discrete_dist.h and
random_forst.cc in order to compile.



[]'s
Pedro

Original issue reported on code.google.com by [email protected] on 21 Sep 2008 at 3:02

visualization

How to visualize a random forst model
I want to do image classification using random forest classifier library librf
I had done the example program rftrain and i got the output

./rftrain -t 100 -m heart.model -d ../data/heart.csv --header --csv -l 
../data/heart_labels.txt 


i got heart.model in the examples folder
how to visualize this data
I want to see the output classified image
How to acheive this??

how to create image.model from a satellite imagery

Expecting a positive reply from you

Original issue reported on code.google.com by [email protected] on 19 Dec 2011 at 7:14

csv and libsvm examples give different results

CSV:

./rftrain -t 100 -m heart.model -d ../data/heart.csv --header --csv -l 
../data/heart_labels.txt
OOB Accuracy 0.825926
---Confusion Matrix----
94 26 
21 129 
Reliability Diagram
bin fraction 1 0 total
0.05 0.04 2 48 50
0.15 0.0833333 3 33 36
0.25 0.347826 8 15 23
0.35 0.25 6 18 24
0.45 0.318182 7 15 22
0.55 0.55 11 9 20
0.65 0.722222 13 5 18
0.75 0.785714 11 3 14
0.85 0.96 24 1 25
0.95 0.921053 35 3 38
Model file saved to heart.model

libSVM:
./rftrain -t 100 -m heart.model -d ../data/heart.svm -f 14
OOB Accuracy -nan
---Confusion Matrix----
0 0 
0 0 
Reliability Diagram
bin fraction 1 0 total
0.05 -nan -2147483648 -2147483648 0
0.15 -nan -2147483648 -2147483648 0
0.25 -nan -2147483648 -2147483648 0
0.35 -nan -2147483648 -2147483648 0
0.45 -nan -2147483648 -2147483648 0
0.55 -nan -2147483648 -2147483648 0
0.65 -nan -2147483648 -2147483648 0
0.75 -nan -2147483648 -2147483648 0
0.85 -nan -2147483648 -2147483648 0
0.95 -nan -2147483648 -2147483648 0
Model file saved to heart.model


On Ubuntu 12.04 using librf release.

Cheers,
Tim

Original issue reported on code.google.com by [email protected] on 23 Mar 2013 at 4:29

Binary classification limitation

Remove assumptions of binary classification

Original issue reported on code.google.com by [email protected] on 7 Jan 2007 at 12:38

Issue of rand_r

I faced a compilation errors in files that have the function call rand_r. 
Since I am trying to compile using .Net 2008, I believe its an stdlib 
problem. 
To get around this error, I have replaced all rand_r(seed) calls by 
srand(*seed) followed by rand().
Even though I do not get any compilation errors now, I would like to 
confirm if I've done the right thing. I understand the code is no longer 
thread safe now.

Manika

Original issue reported on code.google.com by [email protected] on 11 Feb 2009 at 3:34

ARFF support

Add proper support for attribute relation file format.

Original issue reported on code.google.com by [email protected] on 7 Jan 2007 at 12:13