Uses of Class
net.sf.myra.datamining.data.Instance

Packages that use Instance
net.sf.myra.datamining   
net.sf.myra.datamining.data   
net.sf.myra.datamining.function.hierarchical   
net.sf.myra.datamining.io   
net.sf.myra.datamining.model   
net.sf.myra.datamining.util   
 

Uses of Instance in net.sf.myra.datamining
 

Methods in net.sf.myra.datamining that return types with arguments of type Instance
static java.util.List<Instance> Evaluator.filter(java.util.List<Instance> instances, Term term)
          Filters the specified list of instances according to the test represented by the term.
static java.util.List<Instance> Evaluator.findCorrectCases(Rule rule, Dataset dataset)
          Returns the correct covered (the instance class value equals to the specified rule consequent) instances by the specified rule.
static java.util.List<Instance> Evaluator.findCoveredCases(Rule rule, Dataset dataset)
          Returns the covered instances by the specified rule.
static java.util.List<Instance> Evaluator.findCoveredCases(Rule rule, java.util.List<Instance> instances)
          Returns the covered instances by the specified rule.
static java.util.List<Instance> Evaluator.findNotCoveredCases(Rule rule, Dataset dataset)
          Returns the not covered instances by the specified rule.
static java.util.List<Instance> Evaluator.findNotCoveredCases(Rule rule, java.util.List<Instance> instances)
          Returns the not covered instances by the specified rule.
static java.util.List<Instance> Evaluator.findPositiveCases(Rule rule, Dataset dataset)
          Returns the positive covered (the instance class value contains the specified rule consequent) instances by the specified rule.
 

Methods in net.sf.myra.datamining with parameters of type Instance
 Label Model.classify(Instance instance)
          Classifies the secified instance.
 boolean SequentialRule.isCovered(Instance instance)
           
 boolean Rule.isCovered(Instance instance)
          Checks if this rule covers the specified instance.
 boolean ProbabilisticSequentialRule.isCovered(Instance instance)
           
 

Method parameters in net.sf.myra.datamining with type arguments of type Instance
static java.util.List<Instance> Evaluator.filter(java.util.List<Instance> instances, Term term)
          Filters the specified list of instances according to the test represented by the term.
static java.util.List<Instance> Evaluator.findCoveredCases(Rule rule, java.util.List<Instance> instances)
          Returns the covered instances by the specified rule.
static java.util.Set<java.lang.Integer> Evaluator.findIndexedCoveredCases(Rule rule, java.util.List<Instance> instances)
          Returns a set of indexes of the covered instances by the specified rule.
static Label Evaluator.findMajorityClass(java.util.List<Instance> instances, Metadata metadata)
          Returns the majority class value among the specified instances.
static Label Evaluator.findMajorityClass(java.util.List<Instance> instances, Metadata metadata, Label label)
          Returns the majority class value among the specified instances.
static Label Evaluator.findMajorityClassValue(java.util.List<Instance> instances, int index)
          Returns the majority class value among the specified instances.
static Label Evaluator.findMajorityClassValue(java.util.List<Instance> instances, int index, Label label)
          Returns the majority class value among the specified instances.
static java.util.List<Instance> Evaluator.findNotCoveredCases(Rule rule, java.util.List<Instance> instances)
          Returns the not covered instances by the specified rule.
static ConfusionMatrix Evaluator.getConfusionMatrix(Rule rule, java.util.List<Instance> instances)
          Returns the confusion matrix of the specified rule when used to classify the specified instances.
static ConfusionMatrix Evaluator.getConfusionMatrix(Rule rule, java.util.List<Instance> instances, java.lang.String label)
          Returns the confusion matrix of the rule when used to classify the specified instances, predicting a class label.
static ConfusionMatrix Evaluator.getConfusionMatrix(Rule rule, java.util.List<Instance> instances, UsefulnessHelper helper)
          Returns the confusion matrix of the specified rule when used to classify the specified instances.
static Label Evaluator.getPresentLabel(java.util.List<Instance> instances)
          Returns a label instance with all present class labels from from the specified instances active.
static boolean Evaluator.sameLabel(java.util.List<Instance> instances)
          Verifies if the the list of instances have the same class label.
 

Uses of Instance in net.sf.myra.datamining.data
 

Methods in net.sf.myra.datamining.data that return Instance
 Instance Dataset.get(int index)
          Returns the instance specified by the index.
 Instance Dataset.newInstance()
          Returns a new Instance associated with this dataset.
 

Methods in net.sf.myra.datamining.data that return types with arguments of type Instance
 java.util.List<Instance> Dataset.filter(java.lang.String... c)
          Returns the list of instances that belongs to any of the specified class labels.
 java.util.List<Instance> Dataset.getInstances()
          Returns the list of instances.
 java.util.List<Instance> Dataset.getInstances(Attribute attribute, java.lang.String value)
          Returns the list of instances that have the specified (attribute, value) combination.
 java.util.List<Instance> Dataset.getInstances(Label label)
          Returns the list of instances that have the specified label.
 java.util.List<Instance> Dataset.getInstances(java.lang.String... c)
          Returns the list of instances that belongs to the specified class.
 java.util.List<Instance> Dataset.getInstances(Term term)
          Returns the list of instances that satisfy the specified term.
 java.util.Iterator<Instance> Dataset.iterator()
           
 

Methods in net.sf.myra.datamining.data with parameters of type Instance
 boolean Instance.equals(Instance o)
          Compares the specified instance with this instance for equality.
 boolean Dataset.remove(Instance instance)
          Removes the first occurrence in this dataset of the specified instance.
 

Method parameters in net.sf.myra.datamining.data with type arguments of type Instance
abstract  int IntervalBuilder.count(java.util.List<Instance> instances, ContinuousAttribute attribute)
          Returns the number of candidate threshold values.
 int FunctionBasedBuilder.count(java.util.List<Instance> instances, ContinuousAttribute attribute)
           
 int AbstractEntropyBasedBuilder.count(java.util.List<Instance> instances, ContinuousAttribute attribute)
           
 int AbstractDistanceBasedBuilder.count(java.util.List<Instance> instances, ContinuousAttribute attribute)
           
abstract  IntervalBuilder.Interval[] IntervalBuilder.create(java.util.List<Instance> instances, ContinuousAttribute attribute)
          Returns the discrete intervals for the specified continuous attribute.
 IntervalBuilder.Interval[] FunctionBasedBuilder.create(java.util.List<Instance> instances, ContinuousAttribute attribute)
           
 IntervalBuilder.Interval[] AbstractEntropyBasedBuilder.create(java.util.List<Instance> instances, ContinuousAttribute attribute)
           
 IntervalBuilder.Interval[] AbstractDistanceBasedBuilder.create(java.util.List<Instance> instances, ContinuousAttribute attribute)
           
abstract  IntervalBuilder.Interval IntervalBuilder.createSingle(java.util.List<Instance> instances, ContinuousAttribute attribute)
          Returns an interval for the specified continuous attribute tailored for the specified instances.
 IntervalBuilder.Interval FunctionBasedBuilder.createSingle(java.util.List<Instance> instances, ContinuousAttribute attribute)
           
 IntervalBuilder.Interval AbstractEntropyBasedBuilder.createSingle(java.util.List<Instance> instances, ContinuousAttribute attribute)
          Returns an interval for the specified continuous attribute tailored for the specified instance.
 IntervalBuilder.Interval AbstractDistanceBasedBuilder.createSingle(java.util.List<Instance> instances, ContinuousAttribute attribute)
           
abstract  IntervalBuilder.Interval IntervalBuilder.createSingle(java.util.List<Instance> instances, ContinuousAttribute attribute, java.lang.String label)
          Returns a discrete interval for the specified continuous attribute tailored for the specified instances and class value.
 IntervalBuilder.Interval FunctionBasedBuilder.createSingle(java.util.List<Instance> instances, ContinuousAttribute attribute, java.lang.String label)
           
 IntervalBuilder.Interval AbstractEntropyBasedBuilder.createSingle(java.util.List<Instance> instances, ContinuousAttribute attribute, java.lang.String label)
          Returns a discrete interval for the specified continuous attribute tailored for the specified instances and class value.
 IntervalBuilder.Interval AbstractDistanceBasedBuilder.createSingle(java.util.List<Instance> instances, ContinuousAttribute attribute, java.lang.String c)
           
 double ContinuousAttribute.entropy(java.util.List<Instance> instances)
          Returns the (expected) entropy of this attribute.
 double ContinuousAttribute.mean(java.util.List<Instance> instances)
          Returns the mean value of this attribute.
 java.lang.String NominalAttribute.modal(java.util.List<Instance> instances)
          Returns the most frequent (modal) value.
 boolean Dataset.remove(java.util.Collection<Instance> instances)
          Removes all this dataset's instances that are contained in the specified collection.
 void Dataset.setInstances(java.util.List<Instance> instances)
          Sets the dataset instances.
static double DistanceContent.variance(java.util.List<Instance> instances)
          Returns the variance of the list of instances' class labels.
static double DistanceContent.variance(java.util.List<Instance> instances, double[] mean)
          Returns the variance of the list of instances and the mean class label array.
 

Uses of Instance in net.sf.myra.datamining.function.hierarchical
 

Method parameters in net.sf.myra.datamining.function.hierarchical with type arguments of type Instance
protected  ConfusionMatrix LocalFunction.getConfusionMatrix(Rule rule, java.lang.String label, java.util.List<Instance> instances)
           
 

Uses of Instance in net.sf.myra.datamining.io
 

Methods in net.sf.myra.datamining.io with parameters of type Instance
protected  void ProbabilisticExporter.export(Instance instance, double[] probability)
          Writes the instance informations.
protected  void HierarchicalExporter.export(Instance instance, Label predicted)
          Writes the instance informations.
protected  void Exporter.export(Instance instance, Label predicted)
          Writes the instance informations.
 

Uses of Instance in net.sf.myra.datamining.model
 

Methods in net.sf.myra.datamining.model with parameters of type Instance
 Label RuleSet.classify(Instance instance)
           
 Label RuleList.classify(Instance instance)
           
 Label ProbabilisticRuleModel.classify(Instance instance)
           
 double[] ProbabilisticRuleSet.probabilities(Instance instance)
           
 double[] ProbabilisticRuleList.probabilities(Instance instance)
           
 double[] ProbabilisticModel.probabilities(Instance instance)
           
 

Uses of Instance in net.sf.myra.datamining.util
 

Methods in net.sf.myra.datamining.util that return types with arguments of type Instance
 java.util.List<Instance> FlatCrossValidation.Partition.getInstances()
          Returns the partition instance list.
 

Methods in net.sf.myra.datamining.util with parameters of type Instance
 void FlatCrossValidation.Partition.add(Instance instance)
          Adds the specified instance to this partition.
 boolean C45Disc.Rule.isCovered(Instance instance)
           
 



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