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BayesNet 1.0.5
Bayesian Network Classifiers using libtorch from scratch
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Detailed Description
Definition at line 14 of file Node.h.
Constructor & Destructor Documentation
◆ Node()
| bayesnet::Node::Node |
( |
const std::string & | name | ) |
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explicit |
Member Function Documentation
◆ addChild()
| void bayesnet::Node::addChild |
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Node * | child | ) |
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◆ addParent()
| void bayesnet::Node::addParent |
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Node * | parent | ) |
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◆ clear()
| void bayesnet::Node::clear |
( |
| ) |
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◆ computeCPT()
| void bayesnet::Node::computeCPT |
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const torch::Tensor & | dataset, |
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const std::vector< std::string > & | features, |
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const double | laplaceSmoothing, |
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const torch::Tensor & | weights ) |
◆ getChildren()
| std::vector< Node * > & bayesnet::Node::getChildren |
( |
| ) |
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◆ getCPT()
| torch::Tensor & bayesnet::Node::getCPT |
( |
| ) |
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◆ getFactorValue()
| float bayesnet::Node::getFactorValue |
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std::map< std::string, int > & | evidence | ) |
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◆ getName()
| std::string bayesnet::Node::getName |
( |
| ) |
const |
◆ getNumStates()
| int bayesnet::Node::getNumStates |
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| ) |
const |
◆ getParents()
| std::vector< Node * > & bayesnet::Node::getParents |
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| ) |
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◆ graph()
| std::vector< std::string > bayesnet::Node::graph |
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const std::string & | clasName | ) |
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◆ minFill()
| unsigned bayesnet::Node::minFill |
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| ) |
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◆ removeChild()
| void bayesnet::Node::removeChild |
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Node * | child | ) |
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◆ removeParent()
| void bayesnet::Node::removeParent |
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Node * | parent | ) |
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◆ setNumStates()
| void bayesnet::Node::setNumStates |
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int | numStates | ) |
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The documentation for this class was generated from the following files:
- /Users/rmontanana/Code/BayesNet/bayesnet/network/Node.h
- /Users/rmontanana/Code/BayesNet/bayesnet/network/Node.cc
1.11.0