Latte Library framework: version update and release description

Latte Library framework: version update and release description Introduction: Latte Library is a powerful Java library for processing and analyzing probability and statistical reasoning issues.This article will introduce the version update and release description of the Latte Library framework, including new functions, BUGs that improve and repair.At the same time, we will also provide some Java code examples to illustrate the use of the framework. Version 1.0.0 Release Instructions: The first version of the Latte Library framework 1.0.0 has been released.The following are new functions and improvements: 1. Add basic probability and statistical reasoning function. Code example: // Create a random variable RandomVariable randomVariable = new RandomVariable("X"); // Add possible values randomVariable.addPossibleValue("a"); randomVariable.addPossibleValue("b"); randomVariable.addPossibleValue("c"); // Create a conditional probability distribution ConditionalProbabilityDistribution cpd = new ConditionalProbabilityDistribution(); // Setting conditions randomVariable.addCondition("Y", "d"); // Set the probability distribution cpd.setProbability(randomVariable, "a", 0.2); cpd.setProbability(randomVariable, "b", 0.5); cpd.setProbability(randomVariable, "c", 0.3); 2. The probability reasoning of the Bayesian network is implemented. Code example: // Create a Bayesian network object BayesianNetwork bayesianNetwork = new BayesianNetwork(); // Add network node bayesianNetwork.addNode("X"); bayesianNetwork.addNode("Y"); bayesianNetwork.addNode("Z"); // Add probability distribution bayesianNetwork.addConditionalProbabilityDistribution("X"); bayesianNetwork.addConditionalProbabilityDistribution("Y"); bayesianNetwork.addConditionalProbabilityDistribution("Z"); // Set the dependency relationship between network nodes bayesianNetwork.addParent("X", "Y"); bayesianNetwork.addParent("X", "Z"); // Perform the probability reasoning bayesianNetwork.doInference(); Version 1.2.0 Release Instructions: Version 1.2.0 has made the following improvements on the Latte Library framework: 1. Added the processing and reasoning function of the Malcov Ringfeng. Code example: // Create a Malcov Ranning Object MarkovRandomField markovRandomField = new MarkovRandomField(); // Add random variables markovRandomField.addRandomVariable("X"); markovRandomField.addRandomVariable("Y"); markovRandomField.addRandomVariable("Z"); // Add the Raptor Airport Energy Function markovRandomField.addEnergyFunction("X", "Y", (x, y) -> x + y); markovRandomField.addEnergyFunction("X", "Z", (x, z) -> x - z); // Reasoning markovRandomField.doInference(); 2. Optimized the probability reasoning algorithm of the Bayesian network and improved performance. BUG fixing: Version 1.2.0 also repaired the following known bugs: 1. In some cases, the problem of incorrect reasoning results of Bayesian network has been repaired. Summarize: Latte Library is a powerful Java library for processing and analyzing probability and statistical reasoning issues.Through the version update, Latte Library provides more and more functions and improvements, including probability and statistical reasoning, Bayesian network, Malcov random airport, etc.I hope the above content can help you better understand the version update and release description of the version of the Latte Library framework.