rmontanana/BayesNet
rmontanana/BayesNet
1
0
Fork 0
Code Issues 2 Pull Requests Packages Projects Releases 3 Wiki Activity

Change cpt table type to float

Browse Source
This commit is contained in:
Ricardo Montañana Gómez 2024-07-08 13:27:55 +02:00
parent 35ca862eca
commit 0bbc8328a9
Signed by: rmontanana
GPG Key ID: 46064262FD9A7ADE
2 changed files with 5 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

8
bayesnet/network/Node.cc
View File

@ -97,7 +97,7 @@ namespace bayesnet {
dimensions.push_back(numStates);
transform(parents.begin(), parents.end(), back_inserter(dimensions), [](const auto& parent) { return parent->getNumStates(); });
// Create a tensor of zeros with the dimensions of the CPT
cpTable = torch::zeros(dimensions, torch::kFloat) + smoothing;
cpTable = torch::zeros(dimensions, torch::kDouble) + smoothing;
// Fill table with counts
auto pos = find(features.begin(), features.end(), name);
if (pos == features.end()) {
@ -118,19 +118,19 @@ namespace bayesnet {
coordinates.push_back(sample[parent_index]);
}
// Increment the count of the corresponding coordinate
cpTable.index_put_({ coordinates }, cpTable.index({ coordinates }) + weights.index({ n_sample }).item<double>());
cpTable.index_put_({ coordinates }, weights.index({ n_sample }), true);
}
// Normalize the counts
// Divide each row by the sum of the row
cpTable = cpTable / cpTable.sum(0);
}
float Node::getFactorValue(std::map<std::string, int>& evidence)
double Node::getFactorValue(std::map<std::string, int>& evidence)
{
c10::List<c10::optional<at::Tensor>> coordinates;
// following predetermined order of indices in the cpTable (see Node.h)
coordinates.push_back(at::tensor(evidence[name]));
transform(parents.begin(), parents.end(), std::back_inserter(coordinates), [&evidence](const auto& parent) { return at::tensor(evidence[parent->getName()]); });
return cpTable.index({ coordinates }).item<float>();
return cpTable.index({ coordinates }).item<double>();
}
std::vector<std::string> Node::graph(const std::string& className)
{

2
bayesnet/network/Node.h
View File

@ -28,7 +28,7 @@ namespace bayesnet {
void setNumStates(int);
unsigned minFill();
std::vector<std::string> graph(const std::string& clasName); // Returns a std::vector of std::strings representing the graph in graphviz format
float getFactorValue(std::map<std::string, int>&);
double getFactorValue(std::map<std::string, int>&);
private:
std::string name;
std::vector<Node*> parents;