owen/lms
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Fixed bug on training + removed some debug info

Browse Source
This commit is contained in:
emeric
2019-03-09 14:18:23 +01:00
parent d5ead9193f
commit 0a94aa2875
5 changed files with 79 additions and 70 deletions
Download Patch File Download Diff File Expand all files Collapse all files
tools/similarity/LmsSimilarity.cpp
+11 -6
View File
@@ -66,9 +66,9 @@ int main(int argc, char *argv[])
{
try
{
const std::size_t width = 10;
const std::size_t height = 10;
const std::size_t nbIterations = 20;
const std::size_t width = 5;
const std::size_t height = 5;
const std::size_t nbIterations = 10;
std::size_t nbTracks = 5000;
const std::map<std::string, std::size_t> featuresSettings =
@@ -122,14 +122,19 @@ int main(int argc, char *argv[])
SOM::DataNormalizer normalizer {nbDims};
SOM::InputVector weights {nbDims};
for (const auto& featureSettings : featuresSettings)
{
for (std::size_t i {}; i < featureSettings.second; ++i)
weights[i] = SOM::InputVector::value_type{1. / featureSettings.second};
std::size_t index {};
for (const auto& featureSettings : featuresSettings)
{
for (std::size_t i {}; i < featureSettings.second; ++i)
weights[index++] = SOM::InputVector::value_type{1. / featureSettings.second};
}
}
network.setDataWeights(weights);
std::cout << "Weights: " << weights << std::endl;
std::cout << "Normalizing..." << std::endl;
normalizer.computeNormalizationFactors(tracksFeatures);