Index

A B C D E F G H I J K L M N O P Q R S T U V W Y
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P

p - Variable in class adaa.analytics.rules.logic.representation.ruleset.RuleSetBase.Significance

Average p-value of all rules.

Pair<T,K> - Class in adaa.analytics.rules.utils

Pair(T, K) - Constructor for class adaa.analytics.rules.utils.Pair

PARAMETER_APPROXIMATE_BINS_COUNT - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

PARAMETER_APPROXIMATE_INDUCTION - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

PARAMETER_COMPLEMENTARY_CONDITIONS - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

PARAMETER_CONSIDER_OTHER_CLASSES - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

Boolean indicating whether automatic induction should be performed for classes for which no user's knowledge has been defined (classification only).

PARAMETER_CONTROL_APRORI_PRECISION - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

PARAMETER_ENABLE_PRUNING - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

Binary parameter indicating whether pruning should be enabled.

PARAMETER_EXPERT_CONFIG - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

PARAMETER_EXPERT_FORBIDDEN_CONDITIONS - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

Set of forbidden conditions (used also for specifying forbidden attributes by using special value Any).

PARAMETER_EXPERT_PREFERRED_CONDITIONS - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

Multiset of preferred conditions (used also for specifying preferred attributes by using special value "Any").

PARAMETER_EXPERT_RULES - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

Set of initial (expert's) rules.

PARAMETER_EXPORT_KEY - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

Auxiliary parameter for specifying sets/multisets of expert rules and preferred/forbidden conditions/attributes.

PARAMETER_EXPORT_VALUE - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

Auxiliary parameter for specifying sets/multisets of expert rules and preferred/forbidden conditions/attributes.

PARAMETER_EXTEND_USING_AUTOMATIC - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

Boolean indicating whether initial rules should be extended with a use of automatic conditions.

PARAMETER_EXTEND_USING_PREFERRED - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

Boolean indicating whether initial rules should be extended with a use of preferred conditions and attributes.

PARAMETER_IGNORE_MISSING - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

Boolean telling whether missing values should be ignored (by default, a missing value of given attribute is always considered as not fulfilling the condition build upon that attribute)

PARAMETER_INCLUDE_BINARY_CONTRAST - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

PARAMETER_INDUCE_USING_AUTOMATIC - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

Boolean indicating whether new rules should be induced with a use of automatic conditions.

PARAMETER_INDUCE_USING_PREFERRED - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

Boolean indicating whether new rules should be induced with a use of preferred conditions and attributes.

PARAMETER_INDUCTION_MEASURE - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

Name of the rule quality measure used during growing (ignored in the survival analysis where log-rank statistics is used).

PARAMETER_MAX_GROWING - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

Non-negative integer representing maximum number of conditions which can be added to the rule in the growing phase (use this parameter for large datasets if execution time is prohibitive); 0 indicates no limit.

PARAMETER_MAX_PASSES_COUNT - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

PARAMETER_MAX_RULE_COUNT - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

Max number of rules to generate - overrides min_cov setting

PARAMETER_MAX_UNCOVERED_FRACTION - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

Fraction of examples that may remain uncovered by the rule set.

PARAMETER_MAXCOV_NEGATIVE - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

PARAMETER_MEAN_BASED_REGRESSION - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

PARAMETER_MINCOV_ALL - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

Number/fraction examples to be covered by a new rule.

PARAMETER_MINCOV_NEW - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

Number/fraction of previously uncovered examples to be covered by a new rule.

PARAMETER_PENALTY_SATURATION - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

PARAMETER_PENALTY_STRENGTH - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

PARAMETER_PREFERRED_ATTRIBUTES_PER_RULE - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

Maximum number of preferred attributes per rule.

PARAMETER_PREFERRED_CONDITIONS_PER_RULE - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

Maximum number of preferred conditions per rule.

PARAMETER_PRUNING_MEASURE - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

Name of the rule quality measure used during pruning.

PARAMETER_SELECT_BEST_CANDIDATE - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

Flag determining if best candidate should be selected from growing phase."

PARAMETER_USE_EXPERT - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

Boolean indicating whether user's knowledge should be used.

PARAMETER_USER_INDUCTION_CLASS - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

Class name of user-defined induction measure; applies only when the corresponding measure parameter has value UserDefined; the equation must be a mathematical expression with p, n, P, N literals (elements of confusion matrix), operators, numbers, and library functions (sin, log, etc.).

PARAMETER_USER_PRUNING_CLASS - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

Class name of user-defined pruning measure.

PARAMETER_USER_VOTING_CLASS - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

Class name of user-defined voting measure.

PARAMETER_VOTING_MEASURE - Static variable in class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams

Name of the rule quality measure used during growing.

params - Variable in class adaa.analytics.rules.logic.induction.AbstractFinder

Rule induction parameters.

params - Variable in class adaa.analytics.rules.logic.induction.AbstractSeparateAndConquer

Induction parameters.

params - Variable in class adaa.analytics.rules.logic.induction.RuleFactory

Indication parameters.

params - Variable in class adaa.analytics.rules.logic.representation.ruleset.RuleSetBase

Induction paramters.

ParamSetConfiguration - Class in adaa.analytics.rules.consoles.config

ParamSetConfiguration() - Constructor for class adaa.analytics.rules.consoles.config.ParamSetConfiguration

paramSetConfigurations - Variable in class utils.config.TestConfig

parse(String) - Method in class utils.config.TestConfigParser

parseCompoundCondition(String, IAttributes) - Static method in class adaa.analytics.rules.logic.representation.RuleParser

Parses a compound condition.

parseElementaryCondition(String, IAttributes) - Static method in class adaa.analytics.rules.logic.representation.RuleParser

Parses an elementary condition.

parseRule(String, IAttributes) - Static method in class adaa.analytics.rules.logic.representation.RuleParser

Parses a rule.

PawlakDependencyFactor - Static variable in class adaa.analytics.rules.logic.quality.ClassificationMeasure

penaltyStrength - Variable in class adaa.analytics.rules.logic.induction.AttributePenalty

PerformanceResult - Class in adaa.analytics.rules.logic.performance

PerformanceResult() - Constructor for class adaa.analytics.rules.logic.performance.PerformanceResult

PerformanceResult(String, double) - Constructor for class adaa.analytics.rules.logic.performance.PerformanceResult

performPrediction(IExampleSet, IAttribute) - Method in class adaa.analytics.rules.logic.representation.ruleset.PredictionModel

Subclasses should iterate through the given example set and set the prediction for each example.

performPrediction(IExampleSet, IAttribute) - Method in class adaa.analytics.rules.logic.representation.ruleset.RuleSetBase

Iterates over all examples and applies the model to them.

pool - Variable in class adaa.analytics.rules.logic.induction.AbstractFinder

Thread pool to be used by the algorithm.

POSITIVE_PRECISION - Static variable in class adaa.analytics.rules.logic.representation.ContrastIndicators

POSITIVE_SUPPORT - Static variable in class adaa.analytics.rules.logic.representation.ContrastIndicators

positives - Variable in class adaa.analytics.rules.logic.induction.Covering

postprocess(Rule, IExampleSet) - Method in class adaa.analytics.rules.logic.induction.AbstractFinder

Postprocesses a rule.

postprocess(Rule, IExampleSet) - Method in class adaa.analytics.rules.logic.induction.ApproximateClassificationFinder

Postprocesses a rule.

postprocess(Rule, IExampleSet) - Method in class adaa.analytics.rules.logic.induction.ClassificationFinder

postprocess(Rule, IExampleSet) - Method in class adaa.analytics.rules.logic.induction.ContrastRegressionFinder

Postprocess a rule.

postprocess(Rule, IExampleSet) - Method in class adaa.analytics.rules.logic.induction.ContrastSurvivalFinder

Postprocess a rule.

postprocess(Rule, IExampleSet) - Method in class adaa.analytics.rules.logic.induction.SurvivalLogRankExpertFinder

Postprocesses a rule.

postprocess(Rule, IExampleSet) - Method in class adaa.analytics.rules.logic.induction.SurvivalLogRankFinder.Implementation

postprocess(Rule, IExampleSet) - Method in class adaa.analytics.rules.logic.induction.SurvivalLogRankFinder

Postprocesses a rule.

precalculatedCoverings - Variable in class adaa.analytics.rules.logic.induction.ClassificationFinder

Map of precalculated coverings (time optimization).

precalculatedCoverings - Variable in class adaa.analytics.rules.logic.induction.ClassificationFinderPrecalculated

Map of precalculated coverings (time optimization).

precalculatedCoveringsComplement - Variable in class adaa.analytics.rules.logic.induction.ClassificationFinder

Precision - Static variable in class adaa.analytics.rules.logic.quality.ClassificationMeasure

PRECISION - Static variable in class adaa.analytics.rules.logic.performance.BinaryClassificationPerformance

predict(Example) - Method in class adaa.analytics.rules.logic.representation.ruleset.ClassificationRuleSet

Predicts class label for a given example.

predict(Example) - Method in class adaa.analytics.rules.logic.representation.ruleset.ContrastRuleSet

Predicts class label for a given example.

predict(Example) - Method in class adaa.analytics.rules.logic.representation.ruleset.RegressionRuleSet

Calculate prediction for a given example.

predict(Example) - Method in class adaa.analytics.rules.logic.representation.ruleset.RuleSetBase

Applies the model to a single example and returns the predicted class value.

predict(Example) - Method in class adaa.analytics.rules.logic.representation.ruleset.SurvivalRuleSet

Estimates survival function for a given example and stores in a text form in ATTRIBUTE_ESTIMATOR attribute.

PredictElement - Class in adaa.analytics.rules.consoles.config

PredictElement(Element) - Constructor for class adaa.analytics.rules.consoles.config.PredictElement

predictElements - Variable in class adaa.analytics.rules.consoles.config.DatasetConfiguration

prediction - Enum constant in enum class adaa.analytics.rules.data.metadata.EColumnRole

PredictionModel - Class in adaa.analytics.rules.logic.representation.ruleset

PredictionModel(IExampleSet) - Constructor for class adaa.analytics.rules.logic.representation.ruleset.PredictionModel

predictionPerformanceFilePath - Variable in class adaa.analytics.rules.consoles.config.DatasetConfiguration

predictionsFile - Variable in class adaa.analytics.rules.consoles.config.PredictElement

PREFERRED - Enum constant in enum class adaa.analytics.rules.logic.representation.condition.ConditionBase.Type

preferredAttributes - Variable in class adaa.analytics.rules.logic.representation.Knowledge

Maps a class identifier to a list of preferred attributes (for regression problems, 0 is used as a class id).

preferredAttributesPerRule - Variable in class adaa.analytics.rules.logic.representation.Knowledge

Maximum number of preferred attributes per rule.

preferredConditions - Variable in class adaa.analytics.rules.logic.representation.Knowledge

Maps a class identifier to a list of preferred conditions (for regression problems, 0 is used as a class id).

preferredConditionsPerRule - Variable in class adaa.analytics.rules.logic.representation.Knowledge

Maximum number of preferred conditions per rule.

premise - Variable in class adaa.analytics.rules.logic.representation.rule.Rule

Rule premise.

preprocess(IExampleSet) - Method in class adaa.analytics.rules.logic.induction.AbstractFinder

Can be implemented by subclasses to perform some initial processing prior growing.

preprocess(IExampleSet) - Method in class adaa.analytics.rules.logic.induction.ApproximateClassificationFinder

preprocess(IExampleSet) - Method in class adaa.analytics.rules.logic.induction.ClassificationFinder

If example set is unweighted, method precalculates conditions coverings and stores them as bit vectors in @see precalculatedCoverings field.

preprocessClass(IExampleSet, int) - Method in class adaa.analytics.rules.logic.induction.ApproximateClassificationSnC

preprocessClass(IExampleSet, int) - Method in class adaa.analytics.rules.logic.induction.ClassificationSnC

printArrays() - Method in class adaa.analytics.rules.logic.induction.ApproximateClassificationFinder

printStats() - Method in class adaa.analytics.rules.logic.representation.rule.ContrastRule

printStats() - Method in class adaa.analytics.rules.logic.representation.rule.Rule

Generates statistics in a text form.

printVersionInfo() - Method in class adaa.analytics.rules.consoles.ExperimentalConsole

probabilities - Variable in class adaa.analytics.rules.logic.representation.KaplanMeierEstimator

prune(Rule, IExampleSet, Set<Integer>) - Method in class adaa.analytics.rules.logic.induction.AbstractFinder

Removes irrelevant conditions from rule using hill-climbing strategy.

prune(Rule, IExampleSet, Set<Integer>) - Method in class adaa.analytics.rules.logic.induction.ApproximateClassificationFinder

Removes irrelevant conditions from the rule using hill-climbing strategy.

prune(Rule, IExampleSet, Set<Integer>) - Method in class adaa.analytics.rules.logic.induction.ClassificationFinder

Removes irrelevant conditions from the rule using hill-climbing strategy.

PRUNING - Enum constant in enum class adaa.analytics.rules.logic.rulegenerator.RuleGeneratorParams.MeasureDestination

pruningMode - Variable in class adaa.analytics.rules.logic.induction.AttributePenalty

pruningTime - Variable in class adaa.analytics.rules.logic.representation.ruleset.RuleSetBase

Time of pruning.

PSEP - Static variable in class adaa.analytics.rules.logic.performance.BinaryClassificationPerformance

putStat(String, Object) - Method in class adaa.analytics.rules.logic.representation.rule.Rule

pvalue - Variable in class adaa.analytics.rules.logic.representation.rule.Rule

Rule significance.

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All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form