libsvm.svm_model model
List<E> schema
A mapping of features to indices as used within the training set. This is necessary to assign the correct indices to the correct features during classification.
List<E> classes
Normalization normalization
DummyVariableCreator dummyCoder
de.bwaldvogel.liblinear.Model model
Map<K,V> featureLabelIndices
List<E> classIndices
Normalization normalization
DummyVariableCreator dummyCoder
private void readObject(ObjectInputStream arg0) throws IOException, ClassNotFoundException
IOExceptionClassNotFoundExceptionprivate void writeObject(ObjectOutputStream arg0) throws IOException
IOExceptionprivate void readObject(ObjectInputStream arg0) throws IOException, ClassNotFoundException
IOExceptionClassNotFoundExceptionprivate void writeObject(ObjectOutputStream arg0) throws IOException
IOExceptionFeatureSetting.TextFeatureType textFeatureType
int maxTerms
int minNGramLength
int maxNGramLength
int minimumTermLength
int maximumTermLength
boolean caseSensitive
boolean characterPadding
boolean stem
boolean removeStopwords
ws.palladian.helper.constants.Language language
boolean createSkipGrams
opennlp.tools.doccat.DoccatModel doccatModel
String featureGeneratorName
LibLinearModel libLinearModel
Map<K,V> dictionary
float[] r
Model model
private void readObject(ObjectInputStream arg0) throws IOException, ClassNotFoundException
IOExceptionClassNotFoundExceptionprivate void writeObject(ObjectOutputStream arg0) throws IOException
IOExceptionDictionaryModel entityDictionary
List<E> conceptLikelihoodOrder
DictionaryModel annotationDictionary
DictionaryModel contextDictionary
Set<E> lowerCaseDictionary
Set<E> leftContexts
Set<E> removeAnnotations
PalladianNerTrainingSettings.LanguageMode languageMode
PalladianNerTrainingSettings.TrainingMode trainingMode
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