Index
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R
- read() - Method in class utils.reports.TestReportReader
- read(String) - Static method in class adaa.analytics.rules.consoles.ModelFileInOut
- readConfigurations(String) - Static method in class adaa.analytics.rules.consoles.config.DatasetConfiguration
- readConfigurations(Document) - Static method in class adaa.analytics.rules.consoles.config.DatasetConfiguration
- readConfigurations(Element) - Static method in class adaa.analytics.rules.consoles.config.DatasetConfiguration
- readParamSetConfigurations(String) - Static method in class adaa.analytics.rules.consoles.config.ParamSetConfiguration
- readParamSetConfigurations(Document) - Static method in class adaa.analytics.rules.consoles.config.ParamSetConfiguration
- readParamSetConfigurations(Element) - Static method in class adaa.analytics.rules.consoles.config.ParamSetConfiguration
- recalculatePerformance(RuleSetBase) - Static method in class adaa.analytics.rules.logic.performance.RulePerformanceCounter
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Calculates rule model characteristics.
- recalculateStatistics() - Method in interface adaa.analytics.rules.data.IAttribute
- recalculateStatistics() - Method in class adaa.analytics.rules.data.metadata.ColumnMetaData
- recalculateStatistics(EStatisticType, String) - Method in class adaa.analytics.rules.data.DataTable
- recalculateStatistics(EStatisticType, String) - Method in interface adaa.analytics.rules.data.IExampleSet
- recalculateStatistics(EStatisticType, String) - Method in class adaa.analytics.rules.logic.representation.exampleset.ExampleSetWrapper
- redundancy - Variable in class adaa.analytics.rules.logic.representation.rule.ContrastRule
- REGRESSION - Static variable in class adaa.analytics.rules.logic.representation.rule.RuleType
- RegressionExampleSet - Class in adaa.analytics.rules.logic.representation.exampleset
- RegressionExampleSet(IExampleSet) - Constructor for class adaa.analytics.rules.logic.representation.exampleset.RegressionExampleSet
- RegressionExpertFinder - Class in adaa.analytics.rules.logic.induction
-
Class for growing and pruning regression rules with user's knowledge.
- RegressionExpertFinder(InductionParameters) - Constructor for class adaa.analytics.rules.logic.induction.RegressionExpertFinder
- RegressionExpertSnC - Class in adaa.analytics.rules.logic.induction
-
User-guided separate'n'conquer algorithm for generating regression rule sets.
- RegressionExpertSnC(RegressionFinder, InductionParameters, Knowledge) - Constructor for class adaa.analytics.rules.logic.induction.RegressionExpertSnC
- RegressionExpertSnCTest - Class in adaa.analytics.rules.logic.induction
- RegressionExpertSnCTest() - Constructor for class adaa.analytics.rules.logic.induction.RegressionExpertSnCTest
- RegressionFinder - Class in adaa.analytics.rules.logic.induction
-
Algorithm for growing and pruning regression rules.
- RegressionFinder(InductionParameters) - Constructor for class adaa.analytics.rules.logic.induction.RegressionFinder
- RegressionRule - Class in adaa.analytics.rules.logic.representation.rule
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Class representing regression rule.
- RegressionRule(CompoundCondition, ElementaryCondition) - Constructor for class adaa.analytics.rules.logic.representation.rule.RegressionRule
-
Creates a regression rule with a given premise and a consequence.
- RegressionRuleSet - Class in adaa.analytics.rules.logic.representation.ruleset
-
Class representing a set of regression rules.
- RegressionRuleSet(IExampleSet, boolean, InductionParameters, Knowledge) - Constructor for class adaa.analytics.rules.logic.representation.ruleset.RegressionRuleSet
-
Invokes base class constructor.
- RegressionSnC - Class in adaa.analytics.rules.logic.induction
-
Separate'n'conquer algorithm for generating regression rule sets.
- RegressionSnC(RegressionFinder, InductionParameters) - Constructor for class adaa.analytics.rules.logic.induction.RegressionSnC
- RegressionSnCTest - Class in adaa.analytics.rules.logic.induction
- RegressionSnCTest() - Constructor for class adaa.analytics.rules.logic.induction.RegressionSnCTest
- regular - Enum constant in enum class adaa.analytics.rules.data.metadata.EColumnRole
- regularSize() - Method in interface adaa.analytics.rules.data.IAttributes
- regularSize() - Method in class adaa.analytics.rules.data.metadata.ColumnMetadataMap
- RELATIVE_ERROR - Static variable in class adaa.analytics.rules.logic.performance.SimpleCriterion
- RELATIVE_SUPPORT - Static variable in class adaa.analytics.rules.logic.representation.ContrastIndicators
- RelativeRisk - Static variable in class adaa.analytics.rules.logic.quality.ClassificationMeasure
- remove(Object) - Method in class adaa.analytics.rules.logic.representation.IntegerBitSet
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Removes an integer from the set (resets an appropriate bit).
- remove(Object) - Method in class adaa.analytics.rules.logic.representation.MultiSet
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Removes element from the multiset.
- removeAll(Collection<?>) - Method in class adaa.analytics.rules.logic.representation.IntegerBitSet
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Removes all elements from a collection of integers to the set (resets appropriate bits).
- removeRegularRole(IAttribute) - Method in interface adaa.analytics.rules.data.IAttributes
- removeRegularRole(IAttribute) - Method in class adaa.analytics.rules.data.metadata.ColumnMetadataMap
- removeSubcondition(ConditionBase) - Method in class adaa.analytics.rules.logic.representation.condition.CompoundCondition
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Removes a subcondition.
- REPORTS_IN_DIRECTORY_PATH - Static variable in interface utils.reports.Const
- REPORTS_OUT_DIRECTORY_PATH - Static variable in interface utils.reports.Const
- reserve(int) - Method in class adaa.analytics.rules.logic.representation.KaplanMeierEstimator
- reset() - Method in class adaa.analytics.rules.logic.induction.AttributePenalty
- reset() - Method in class adaa.analytics.rules.logic.induction.AttributePenaltyCollection
- resetArrays(IExampleSet, int) - Method in class adaa.analytics.rules.logic.induction.ApproximateClassificationFinder
- retainAll(Collection<?>) - Method in class adaa.analytics.rules.logic.representation.IntegerBitSet
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Retain from the set all of its elements that are contained in the specified collection.
- reverse() - Method in class adaa.analytics.rules.logic.representation.KaplanMeierEstimator
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Creates reveresed K-M estimator.
- right - Variable in class adaa.analytics.rules.logic.representation.valueset.Interval
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Right bound of the interval.
- rightClosed - Variable in class adaa.analytics.rules.logic.representation.valueset.Interval
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Flag indicating if the interval is closed from the right side.
- Ripper - Static variable in class adaa.analytics.rules.logic.quality.ClassificationMeasure
- ROOT_MEAN_SQUARED_ERROR - Static variable in class adaa.analytics.rules.logic.performance.SimpleCriterion
- RootRelativeSquaredError - Class in adaa.analytics.rules.logic.performance
-
Relative squared error is the total squared error made relative to what the error would have been if the prediction had been the average of the absolute value.
- RootRelativeSquaredError() - Constructor for class adaa.analytics.rules.logic.performance.RootRelativeSquaredError
- rowToStringArray(Row, IAttribute[]) - Method in class ioutils.TableSawLoader
- RSS - Static variable in class adaa.analytics.rules.logic.quality.ClassificationMeasure
- Rule - Class in adaa.analytics.rules.logic.representation.rule
-
Abstract class representing all kinds of rules (classification/regression/survival).
- Rule() - Constructor for class adaa.analytics.rules.logic.representation.rule.Rule
-
Creates empty rule.
- Rule(CompoundCondition, ElementaryCondition) - Constructor for class adaa.analytics.rules.logic.representation.rule.Rule
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Creates a rule with a given premise and a consequence.
- Rule(Rule) - Constructor for class adaa.analytics.rules.logic.representation.rule.Rule
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Creates new rule on the basis of the reference one (incomplete shallow copy).
- RuleFactory - Class in adaa.analytics.rules.logic.induction
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A factory class for creating instances of rules and rule sets of different types (classification/regression,/survival).
- RuleFactory(int, InductionParameters, Knowledge) - Constructor for class adaa.analytics.rules.logic.induction.RuleFactory
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Constructor of guided rules factory.
- RuleGenerator - Class in adaa.analytics.rules.logic.rulegenerator
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The basic RuleKit learner operator.
- RuleGenerator() - Constructor for class adaa.analytics.rules.logic.rulegenerator.RuleGenerator
- RuleGenerator(boolean) - Constructor for class adaa.analytics.rules.logic.rulegenerator.RuleGenerator
-
Used by python wrapper
- ruleGeneratorParams - Variable in class adaa.analytics.rules.logic.rulegenerator.RuleGenerator
- RuleGeneratorParams - Class in adaa.analytics.rules.logic.rulegenerator
- RuleGeneratorParams() - Constructor for class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams
- RuleGeneratorParams.MeasureDestination - Enum Class in adaa.analytics.rules.logic.rulegenerator
-
Auxiliary enumeration type describing possible destinations of quality measures.
- RuleInterest - Static variable in class adaa.analytics.rules.logic.quality.ClassificationMeasure
- ruleOrderNum - Variable in class adaa.analytics.rules.logic.representation.rule.Rule
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Rule order number.
- RuleParser - Class in adaa.analytics.rules.logic.representation
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Class for parsing rules from text.
- RuleParser() - Constructor for class adaa.analytics.rules.logic.representation.RuleParser
- RulePerformanceCounter - Class in adaa.analytics.rules.logic.performance
- RulePerformanceCounter(IExampleSet) - Constructor for class adaa.analytics.rules.logic.performance.RulePerformanceCounter
- ruleRanges - Variable in class adaa.analytics.rules.logic.induction.ApproximateClassificationFinder
- ruleReady(Rule) - Method in class adaa.analytics.rules.logic.induction.AttributePenalty
- ruleReady(Rule) - Method in interface adaa.analytics.rules.logic.induction.IFinderObserver
- rules - Variable in class adaa.analytics.rules.logic.representation.Knowledge
-
Maps a class identifier to a list of initial rules (for regression problems, 0 is used as a class id).
- rules - Variable in class adaa.analytics.rules.logic.representation.ruleset.RuleSetBase
-
Collection of rules.
- RULES - Static variable in interface utils.reports.Const.REPORTS_SECTIONS_HEADERS
- RULES_PER_EXAMPLE - Static variable in class adaa.analytics.rules.logic.performance.ClassificationRulesPerformance
- rulesetAttributes - Variable in class adaa.analytics.rules.logic.induction.AttributePenalty
- RuleSetBase - Class in adaa.analytics.rules.logic.representation.ruleset
-
Abstract class representing all rule-based models (classification/regression/survival).
- RuleSetBase(IExampleSet, boolean, InductionParameters, Knowledge) - Constructor for class adaa.analytics.rules.logic.representation.ruleset.RuleSetBase
-
Initializes members.
- RuleSetBase.Significance - Class in adaa.analytics.rules.logic.representation.ruleset
-
Auxiliary class storing result of rule set significance test.
- RuleSetComparator - Class in utils
- RuleSetComparator() - Constructor for class utils.RuleSetComparator
- RuleStringFactory - Class in utils.reports
- RuleStringFactory() - Constructor for class utils.reports.RuleStringFactory
- RuleType - Class in adaa.analytics.rules.logic.representation.rule
- RuleType() - Constructor for class adaa.analytics.rules.logic.representation.rule.RuleType
- run() - Method in class adaa.analytics.rules.consoles.TrainTestValidationExperiment
- run(IExampleSet) - Method in class adaa.analytics.rules.logic.induction.AbstractSeparateAndConquer
-
Trains a rule classifier.
- run(IExampleSet) - Method in class adaa.analytics.rules.logic.induction.ClassificationExpertSnC
- run(IExampleSet) - Method in class adaa.analytics.rules.logic.induction.ClassificationSnC
-
Generates a classification rule set on the basis of a training set.
- run(IExampleSet) - Method in class adaa.analytics.rules.logic.induction.ContrastSnC
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Generates contrast sets on the basis of a training set.
- run(IExampleSet) - Method in class adaa.analytics.rules.logic.induction.RegressionExpertSnC
- run(IExampleSet) - Method in class adaa.analytics.rules.logic.induction.RegressionSnC
- run(ContrastExampleSet, ContrastRuleSet) - Method in class adaa.analytics.rules.logic.induction.ContrastSnC
-
Generates contrast sets on the basis of a training set.
- run(String, Level) - Method in class adaa.analytics.rules.utils.Logger
-
Logs a message on all streams with logging level smaller than the message level.
- runTestCase(TestCase) - Method in class adaa.analytics.rules.logic.induction.ClassificationExpertSnCTest
- runTestCase(TestCase) - Method in class adaa.analytics.rules.logic.induction.ClassificationSnCTest
- runTestCase(TestCase) - Method in class adaa.analytics.rules.logic.induction.RegressionExpertSnCTest
- runTestCase(TestCase) - Method in class adaa.analytics.rules.logic.induction.RegressionSnCTest
- runTestCase(TestCase) - Method in class adaa.analytics.rules.logic.induction.SurvivalLogRankExpertSnCTest
- runTestCase(TestCase) - Method in class adaa.analytics.rules.logic.induction.SurvivalLogRankSnCTest
- RunTestProcess - Class in adaa.analytics.rules.utils
-
Class used to run test process to profile execution of prediction
- RunTestProcess() - Constructor for class adaa.analytics.rules.utils.RunTestProcess
All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form