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Uses of BayesianNetwork in org.encog.ml.bayesian.bif |
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Methods in org.encog.ml.bayesian.bif that return BayesianNetwork | |
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BayesianNetwork |
BIFHandler.getNetwork()
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static BayesianNetwork |
BIFUtil.readBIF(File f)
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static BayesianNetwork |
BIFUtil.readBIF(InputStream is)
Read a BIF file from a stream. |
static BayesianNetwork |
BIFUtil.readBIF(String f)
Read a BIF file. |
Methods in org.encog.ml.bayesian.bif with parameters of type BayesianNetwork | |
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static void |
BIFUtil.writeBIF(File file,
BayesianNetwork network)
Write a Bayesian network to a BIF file. |
static void |
BIFUtil.writeBIF(OutputStream os,
BayesianNetwork network)
Write a Bayesian network to an output stream in BIF format. |
static void |
BIFUtil.writeBIF(String fn,
BayesianNetwork network)
Write a Bayesian network to BIF form. |
Uses of BayesianNetwork in org.encog.ml.bayesian.parse |
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Methods in org.encog.ml.bayesian.parse with parameters of type BayesianNetwork | |
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void |
ParsedProbability.defineRelationships(BayesianNetwork network)
Define the relationships. |
void |
ParsedProbability.defineTruthTable(BayesianNetwork network,
double result)
Define the truth table. |
int[] |
ParsedProbability.getArgs(BayesianNetwork network)
Get the arguments to this event. |
static List<ParsedProbability> |
ParseProbability.parseProbabilityList(BayesianNetwork network,
String line)
Parse a probability list. |
Constructors in org.encog.ml.bayesian.parse with parameters of type BayesianNetwork | |
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ParseProbability(BayesianNetwork theNetwork)
Parse the probability for the specified network. |
Uses of BayesianNetwork in org.encog.ml.bayesian.query |
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Methods in org.encog.ml.bayesian.query that return BayesianNetwork | |
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BayesianNetwork |
BayesianQuery.getNetwork()
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BayesianNetwork |
BasicQuery.getNetwork()
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Constructors in org.encog.ml.bayesian.query with parameters of type BayesianNetwork | |
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BasicQuery(BayesianNetwork theNetwork)
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Uses of BayesianNetwork in org.encog.ml.bayesian.query.enumerate |
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Constructors in org.encog.ml.bayesian.query.enumerate with parameters of type BayesianNetwork | |
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EnumerationQuery(BayesianNetwork theNetwork)
Construct the enumeration query. |
Uses of BayesianNetwork in org.encog.ml.bayesian.query.sample |
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Constructors in org.encog.ml.bayesian.query.sample with parameters of type BayesianNetwork | |
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SamplingQuery(BayesianNetwork theNetwork)
Construct a sampling query. |
Uses of BayesianNetwork in org.encog.ml.bayesian.training |
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Methods in org.encog.ml.bayesian.training that return BayesianNetwork | |
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BayesianNetwork |
TrainBayesian.getNetwork()
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Constructors in org.encog.ml.bayesian.training with parameters of type BayesianNetwork | |
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TrainBayesian(BayesianNetwork theNetwork,
MLDataSet theData,
int theMaximumParents)
Construct a Bayesian trainer. |
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TrainBayesian(BayesianNetwork theNetwork,
MLDataSet theData,
int theMaximumParents,
BayesianInit theInit,
BayesSearch theSearch,
BayesEstimator theEstimator)
Construct a Bayesian trainer. |
Uses of BayesianNetwork in org.encog.ml.bayesian.training.estimator |
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Methods in org.encog.ml.bayesian.training.estimator with parameters of type BayesianNetwork | |
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void |
SimpleEstimator.init(TrainBayesian theTrainer,
BayesianNetwork theNetwork,
MLDataSet theData)
Init the estimator. |
void |
EstimatorNone.init(TrainBayesian theTrainer,
BayesianNetwork theNetwork,
MLDataSet theData)
Init the estimator. |
void |
BayesEstimator.init(TrainBayesian theTrainer,
BayesianNetwork theNetwork,
MLDataSet theData)
Init the estimator. |
Uses of BayesianNetwork in org.encog.ml.bayesian.training.search |
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Methods in org.encog.ml.bayesian.training.search with parameters of type BayesianNetwork | |
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void |
SearchNone.init(TrainBayesian theTrainer,
BayesianNetwork theNetwork,
MLDataSet theData)
Init the search object. |
Uses of BayesianNetwork in org.encog.ml.bayesian.training.search.k2 |
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Methods in org.encog.ml.bayesian.training.search.k2 with parameters of type BayesianNetwork | |
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double |
SearchK2.calculateG(BayesianNetwork network,
BayesianEvent event,
List<BayesianEvent> parents)
Calculate G. |
int |
SearchK2.calculateN(BayesianNetwork network,
BayesianEvent event,
List<BayesianEvent> parents,
int[] parentInstance)
Calculate the value N, which is the number of cases, from the training data, where the desiredValue matches the training data. |
int |
SearchK2.calculateN(BayesianNetwork network,
BayesianEvent event,
List<BayesianEvent> parents,
int[] parentInstance,
int desiredValue)
Calculate the value N, which is the number of cases, from the training data, where the desiredValue matches the training data. |
void |
SearchK2.init(TrainBayesian theTrainer,
BayesianNetwork theNetwork,
MLDataSet theData)
Init the search object. |
void |
BayesSearch.init(TrainBayesian theTrainer,
BayesianNetwork theNetwork,
MLDataSet theData)
Init the search object. |
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