Index

A

Accuracy (rulekit.params.Measures attribute) add_event_listener() (rulekit.classification.ExpertRuleClassifier method) (rulekit.classification.RuleClassifier method) (rulekit.regression.ExpertRuleRegressor method) (rulekit.regression.RuleRegressor method) (rulekit.survival.ExpertSurvivalRules method) (rulekit.survival.SurvivalRules method)

B

BaseRule (class in rulekit.rules)

BinaryEntropy (rulekit.params.Measures attribute)

C

C1 (rulekit.params.Measures attribute) C2 (rulekit.params.Measures attribute) calculate_avg_rule_coverage() (rulekit.rules.RuleSet method) calculate_avg_rule_precision() (rulekit.rules.RuleSet method) calculate_avg_rule_quality() (rulekit.rules.RuleSet method) calculate_conditions_count() (rulekit.rules.RuleSet method) calculate_induced_conditions_count() (rulekit.rules.RuleSet method) calculate_significance() (rulekit.rules.RuleSet method)

calculate_significance_fdr() (rulekit.rules.RuleSet method) calculate_significance_fwer() (rulekit.rules.RuleSet method) CFoil (rulekit.params.Measures attribute) ClassificationRule (class in rulekit.rules) CN2Significnce (rulekit.params.Measures attribute) conclusion_value (rulekit.rules.RegressionRule property) configure_java_logger() (rulekit.main.RuleKit static method) Correlation (rulekit.params.Measures attribute) Coverage (rulekit.params.Measures attribute)

D

decision_class (rulekit.rules.ClassificationRule property)

E

ExpertRuleClassifier (class in rulekit.classification)

ExpertRuleRegressor (class in rulekit.regression) ExpertSurvivalRules (class in rulekit.survival)

F

FBayesianConfirmation (rulekit.params.Measures attribute) fit() (rulekit.classification.ExpertRuleClassifier method) (rulekit.classification.RuleClassifier method) (rulekit.regression.ExpertRuleRegressor method) (rulekit.regression.RuleRegressor method) (rulekit.survival.ExpertSurvivalRules method) (rulekit.survival.SurvivalRules method)

FMeasure (rulekit.params.Measures attribute) FullCoverage (rulekit.params.Measures attribute)

G

GeoRSS (rulekit.params.Measures attribute) get_coverage_matrix() (rulekit.classification.ExpertRuleClassifier method) (rulekit.classification.RuleClassifier method) (rulekit.regression.ExpertRuleRegressor method) (rulekit.regression.RuleRegressor method) (rulekit.survival.ExpertSurvivalRules method) (rulekit.survival.SurvivalRules method) get_covering_information() (rulekit.rules.BaseRule method) get_java_logger_config() (rulekit.main.RuleKit static method) get_metadata_routing() (rulekit.classification.ExpertRuleClassifier method) (rulekit.classification.RuleClassifier method) (rulekit.regression.ExpertRuleRegressor method) (rulekit.regression.RuleRegressor method) (rulekit.survival.ExpertSurvivalRules method) (rulekit.survival.SurvivalRules method)

get_params() (rulekit.classification.ExpertRuleClassifier method) (rulekit.classification.RuleClassifier method) (rulekit.regression.ExpertRuleRegressor method) (rulekit.regression.RuleRegressor method) (rulekit.survival.ExpertSurvivalRules method) (rulekit.survival.SurvivalRules method) get_train_set_kaplan_meier() (rulekit.survival.ExpertSurvivalRules method) (rulekit.survival.SurvivalRules method) GMeasure (rulekit.params.Measures attribute) growing_time (rulekit.rules.RuleSet property)

I

induction_measure (rulekit.rules.InductionParameters property) InductionParameters (class in rulekit.rules)

InformationGain (rulekit.params.Measures attribute) init() (rulekit.main.RuleKit static method) is_voting (rulekit.rules.RuleSet property)

J

JMeasure (rulekit.params.Measures attribute)

K

kaplan_meier_estimator (rulekit.rules.SurvivalRule property)

Kappa (rulekit.params.Measures attribute) Klosgen (rulekit.params.Measures attribute)

L

Laplace (rulekit.params.Measures attribute) Lift (rulekit.params.Measures attribute)

LogicalSufficiency (rulekit.params.Measures attribute) LogRank (rulekit.params.Measures attribute)

M

Measures (class in rulekit.params) MEstimate (rulekit.params.Measures attribute) module rulekit.main rulekit.params rulekit.rules rulekit.stats

MutualSupport (rulekit.params.Measures attribute)

N

N (rulekit.stats.RuleStatistics attribute)

n (rulekit.stats.RuleStatistics attribute) Novelty (rulekit.params.Measures attribute)

O

OddsRatio (rulekit.params.Measures attribute)

OneWaySupport (rulekit.params.Measures attribute)

P

P (rulekit.stats.RuleStatistics attribute) p (rulekit.stats.RuleStatistics attribute) parameters (rulekit.rules.RuleSet property) PawlakDependencyFactor (rulekit.params.Measures attribute) Precision (rulekit.params.Measures attribute) predict() (rulekit.classification.ExpertRuleClassifier method) (rulekit.classification.RuleClassifier method) (rulekit.regression.ExpertRuleRegressor method) (rulekit.regression.RuleRegressor method) (rulekit.survival.ExpertSurvivalRules method) (rulekit.survival.SurvivalRules method)

predict_proba() (rulekit.classification.ExpertRuleClassifier method) (rulekit.classification.RuleClassifier method) print_stats() (rulekit.rules.BaseRule method) pruning_measure (rulekit.rules.InductionParameters property) pruning_time (rulekit.rules.RuleSet property) pvalue (rulekit.rules.BaseRule property) (rulekit.stats.RuleStatistics attribute)

Q

Q2 (rulekit.params.Measures attribute)

R

RegressionRule (class in rulekit.rules) RelativeRisk (rulekit.params.Measures attribute) Ripper (rulekit.params.Measures attribute) RSS (rulekit.params.Measures attribute) RuleClassifier (class in rulekit.classification) RuleInterest (rulekit.params.Measures attribute) RuleKit (class in rulekit.main) rulekit.main module rulekit.operator.Data (built-in variable)

rulekit.params module rulekit.rules module rulekit.stats module RuleRegressor (class in rulekit.regression) rules (rulekit.rules.RuleSet property) RuleSet (class in rulekit.rules) RuleSetStatistics (class in rulekit.stats) RuleStatistics (class in rulekit.stats)

S

SBayesian (rulekit.params.Measures attribute) score() (rulekit.classification.ExpertRuleClassifier method) (rulekit.classification.RuleClassifier method) (rulekit.regression.ExpertRuleRegressor method) (rulekit.regression.RuleRegressor method) (rulekit.survival.ExpertSurvivalRules method) (rulekit.survival.SurvivalRules method) Sensitivity (rulekit.params.Measures attribute) set_params() (rulekit.classification.ExpertRuleClassifier method) (rulekit.classification.RuleClassifier method) (rulekit.regression.ExpertRuleRegressor method) (rulekit.regression.RuleRegressor method) (rulekit.survival.ExpertSurvivalRules method) (rulekit.survival.SurvivalRules method)

SIGNIFICANCE_LEVEL (rulekit.stats.RuleSetStatistics attribute) Specificity (rulekit.params.Measures attribute) stats (rulekit.rules.BaseRule property) (rulekit.rules.RuleSet property) SurvivalRule (class in rulekit.rules) SurvivalRules (class in rulekit.survival)

T

total_time (rulekit.rules.RuleSet property)

TwoWaySupport (rulekit.params.Measures attribute)

V

version (rulekit.main.RuleKit attribute)

voting_measure (rulekit.rules.InductionParameters property)

W

weight (rulekit.rules.BaseRule property) (rulekit.stats.RuleStatistics attribute) weighted_N (rulekit.rules.BaseRule property) weighted_n (rulekit.rules.BaseRule property)

weighted_P (rulekit.rules.BaseRule property) weighted_p (rulekit.rules.BaseRule property) WeightedLaplace (rulekit.params.Measures attribute) WeightedRelativeAccuracy (rulekit.params.Measures attribute)

Y

YAILS (rulekit.params.Measures attribute)