BayesFusion Support Forum

Thanks for the support! Would it be possible to make a x86_64 build as well?

Could you provide a build without any optimizations?

I'm actually using XCode with gcc 4:

i686-apple-darwin9-g++-4.0.1 (GCC) 4.0.1 (Apple Inc. build 5493)

I've also tried building from the command line:

g++ -O3 -DNDEBUG -ffast-math main.cpp -o test -Lsmile -Ismile -lsmilearn -lsmile

I'm getting the exactly same results as when using XCode. And ...

Hi,

I'm using Visual C++ Express Edition (Version 9.0.30729.1 SP):


Microsoft Visual Studio 2008
Version 9.0.30729.1 SP
Microsoft .NET Framework
Version 3.5 SP1

Installed Edition: VC Express

Microsoft Visual C++ 2008 91909-152-0000052-60665
Microsoft Visual C++ 2008

Hotfix for Microsoft Visual ...

Windows :: SetRandomizeParameters(false):

0 A
0.500759 0.499241
1 B
0.492636 0.507364
2 C
0.527896 0.472104
3 H
0.195727 0.804273 0.724004 0.275996 0.362899 0.637101 0.294494 0.705506 0.171772 0.828228 0.884285 0.115715 0.449727 0.5
50273 0.763873 0.236127
4 D
0.20216 0.79784 0.70362 0.29638
5 E
0 ...

Without parameter randomization, the code still works under Windows and under Mac OS X still produces the wrong results.

The following code delivers the CORRECT results under Windows. Unfortunately this is NOT the case for Mac OS X


#include <iostream>
#include <vector>

#include "smile.h"
#include "smilearn.h"

int main (int argc, char * const argv[]) {

DSL_network network;
if (network.ReadFile("abc-h-def-network ...

Do you have a C++ example for EM parameters learning?

Maybe I'm missing something when using the EM class?

This doesn't work either under Mac OS:

#include <iostream>
#include <vector>

#include "smile.h"
#include "smilearn.h"

int main (int argc, char * const argv[]) {

DSL_network network;
if (network.ReadFile("abc-h-def-network-randomized.xdsl") != DSL_OKAY) {
std::cout << "Unable to read network\n ...

I'm using the latest jSmile for Mac OS X.

Hi,

when I use the EM class for learning the parameters of a network I get a different result as compared to when learning the parameters from the same data set using Genie. The result delivered by Genie is the correct one (I've checked it against several other BN toolboxes). This is the code that ...

Is there a plan to release a x86_64 binary for Mac OS X? Now that Java 6 is 64 bit, using jSmile requires to switch JVMs. Actually, I'm not quite sure whether it would be possible to create a 64 bit JNI library which uses the 32 bit version of smile.