/** @generated * @param addr low level Feature Structure reference * @return the feature value */ public double getProbability(int addr) { if (featOkTst && casFeat_probability == null) jcas.throwFeatMissing("probability", "de.julielab.jcore.types.mantra.NER"); return ll_cas.ll_getDoubleValue(addr, casFeatCode_probability); } /** @generated
/** @generated * @param addr low level Feature Structure reference * @return the feature value */ public double getFscore(int addr) { if (featOkTst && casFeat_fscore == null) jcas.throwFeatMissing("fscore", "de.julielab.jcore.types.Overall"); return ll_cas.ll_getDoubleValue(addr, casFeatCode_fscore); } /** @generated
/** getter for confidence - gets Confidence value of the classification into this class. * @generated * @return value of the feature */ public double getConfidence() { if (DocumentClass_Type.featOkTst && ((DocumentClass_Type)jcasType).casFeat_confidence == null) jcasType.jcas.throwFeatMissing("confidence", "de.julielab.jcore.types.DocumentClass"); return jcasType.ll_cas.ll_getDoubleValue(addr, ((DocumentClass_Type)jcasType).casFeatCode_confidence);}
/** getter for fscore - gets * @generated * @return value of the feature */ public double getFscore() { if (Overall_Type.featOkTst && ((Overall_Type)jcasType).casFeat_fscore == null) jcasType.jcas.throwFeatMissing("fscore", "de.julielab.jcore.types.Overall"); return jcasType.ll_cas.ll_getDoubleValue(addr, ((Overall_Type)jcasType).casFeatCode_fscore);}
/** getter for precision - gets * @generated * @return value of the feature */ public double getPrecision() { if (Overall_Type.featOkTst && ((Overall_Type)jcasType).casFeat_precision == null) jcasType.jcas.throwFeatMissing("precision", "de.julielab.jcore.types.Overall"); return jcasType.ll_cas.ll_getDoubleValue(addr, ((Overall_Type)jcasType).casFeatCode_precision);}
/** getter for confidence - gets * @generated * @return value of the feature */ public double getConfidence() { if (Relation_Type.featOkTst && ((Relation_Type)jcasType).casFeat_confidence == null) jcasType.jcas.throwFeatMissing("confidence", "org.apache.ctakes.typesystem.type.relation.Relation"); return jcasType.ll_cas.ll_getDoubleValue(addr, ((Relation_Type)jcasType).casFeatCode_confidence);}
/** @generated * @param addr low level Feature Structure reference * @return the feature value */ public double getConfidence(int addr) { if (featOkTst && casFeat_confidence == null) jcas.throwFeatMissing("confidence", "org.apache.ctakes.typesystem.type.relation.Relation"); return ll_cas.ll_getDoubleValue(addr, casFeatCode_confidence); } /** @generated
/** * getter for amount - gets Numeric value of amount of money mentioned in document. * * @generated * @return value of the feature */ public double getAmount() { if (Money_Type.featOkTst && ((Money_Type) jcasType).casFeat_amount == null) jcasType.jcas.throwFeatMissing("amount", "uk.gov.dstl.baleen.types.common.Money"); return jcasType.ll_cas.ll_getDoubleValue(addr, ((Money_Type) jcasType).casFeatCode_amount); }
/** * @generated * @param addr low level Feature Structure reference * @return the feature value */ public double getConfidence(int addr) { if (featOkTst && casFeat_confidence == null) jcas.throwFeatMissing("confidence", "uk.gov.dstl.baleen.types.Base"); return ll_cas.ll_getDoubleValue(addr, casFeatCode_confidence); } /**
/** getter for confidence - gets The confidence for the prediction * @generated * @return value of the feature */ public double getConfidence() { if (TextClassificationOutcome_Type.featOkTst && ((TextClassificationOutcome_Type)jcasType).casFeat_confidence == null) jcasType.jcas.throwFeatMissing("confidence", "de.tudarmstadt.ukp.dkpro.tc.api.type.TextClassificationOutcome"); return jcasType.ll_cas.ll_getDoubleValue(addr, ((TextClassificationOutcome_Type)jcasType).casFeatCode_confidence);}
/** @generated */ public double getScore(int addr) { if (featOkTst && casFeat_Score == null) jcas.throwFeatMissing("Score", "dkpro.similarity.uima.api.type.TextSimilarityScore"); return ll_cas.ll_getDoubleValue(addr, casFeatCode_Score); } /** @generated */
/** * @generated * @param addr low level Feature Structure reference * @return the feature value */ public double getNormalizedQuantity(int addr) { if (featOkTst && casFeat_normalizedQuantity == null) jcas.throwFeatMissing("normalizedQuantity", "uk.gov.dstl.baleen.types.common.Quantity"); return ll_cas.ll_getDoubleValue(addr, casFeatCode_normalizedQuantity); } /**
/** getter for value - gets The actual double value * @generated */ public double getValue() { if (Double_Type.featOkTst && ((Double_Type)jcasType).casFeat_value == null) jcasType.jcas.throwFeatMissing("value", "de.citec.scie.descriptors.Double"); return jcasType.ll_cas.ll_getDoubleValue(addr, ((Double_Type)jcasType).casFeatCode_value);}
/** @generated */ public double getRelatednessValue(int addr) { if (featOkTst && casFeat_RelatednessValue == null) jcas.throwFeatMissing("RelatednessValue", "de.tudarmstadt.ukp.similarity.type.SemanticRelatedness"); return ll_cas.ll_getDoubleValue(addr, casFeatCode_RelatednessValue); } /** @generated */
/** @generated */ public double getSIValue(int addr) { if (featOkTst && casFeat_SIValue == null) jcas.throwFeatMissing("SIValue", "de.citec.scie.descriptors.Time"); return ll_cas.ll_getDoubleValue(addr, casFeatCode_SIValue); } /** @generated */
/** getter for weight - gets * @generated */ public double getWeight() { if (WeightedAnnotationPair_Type.featOkTst && ((WeightedAnnotationPair_Type)jcasType).casFeat_weight == null) jcasType.jcas.throwFeatMissing("weight", "de.tudarmstadt.ukp.similarity.type.WeightedAnnotationPair"); return jcasType.ll_cas.ll_getDoubleValue(addr, ((WeightedAnnotationPair_Type)jcasType).casFeatCode_weight);}
/** getter for probability - gets This gives some hint how probable it is that this annotation actually captures the aggregated annotations. * @generated */ public double getProbability() { if (Aggregated_Type.featOkTst && ((Aggregated_Type)jcasType).casFeat_probability == null) jcasType.jcas.throwFeatMissing("probability", "de.citec.scie.descriptors.Aggregated"); return jcasType.ll_cas.ll_getDoubleValue(addr, ((Aggregated_Type)jcasType).casFeatCode_probability);}
/** getter for SIValue - gets The value of this weight in kg. * @generated */ public double getSIValue() { if (Weight_Type.featOkTst && ((Weight_Type)jcasType).casFeat_SIValue == null) jcasType.jcas.throwFeatMissing("SIValue", "de.citec.scie.descriptors.Weight"); return jcasType.ll_cas.ll_getDoubleValue(addr, ((Weight_Type)jcasType).casFeatCode_SIValue);}
/** @generated * @param addr low level Feature Structure reference * @return the feature value */ public double getConfidence(int addr) { if (featOkTst && casFeat_confidence == null) jcas.throwFeatMissing("confidence", "de.tudarmstadt.ukp.dkpro.tc.api.type.TextClassificationOutcome"); return ll_cas.ll_getDoubleValue(addr, casFeatCode_confidence); } /** @generated
/** @generated */ public double getConfidence(int addr) { if (featOkTst && casFeat_confidence == null) jcas.throwFeatMissing("confidence", "de.tudarmstadt.ukp.dkpro.tc.type.TextClassificationOutcome"); return ll_cas.ll_getDoubleValue(addr, casFeatCode_confidence); } /** @generated */