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

N

NaiveBayesClassifierFactory - Class in csli.util.classify.stanford

NaiveBayesClassifierFactory() - Constructor for class csli.util.classify.stanford.NaiveBayesClassifierFactory

NaiveNgramClassifier - Class in csli.util.classify.stanford

A binary classifier which uses a single n-gram model, making class decision by comparing log-likelihood with a given threshold

NaiveNgramClassifier(NgramModel, Object, double, boolean) - Constructor for class csli.util.classify.stanford.NaiveNgramClassifier

NaiveNgramClassifier(NgramModel, Object) - Constructor for class csli.util.classify.stanford.NaiveNgramClassifier

NaiveNgramClassifierFactory - Class in csli.util.classify.stanford

NaiveNgramClassifierFactory(int, int, double, Object, double, boolean) - Constructor for class csli.util.classify.stanford.NaiveNgramClassifierFactory

NaiveNgramClassifierFactory(int, double, Object, double, boolean) - Constructor for class csli.util.classify.stanford.NaiveNgramClassifierFactory

nameExt - Static variable in class csli.util.classify.stanford.C4_5ClassifierFactory

NEG_LABEL - Static variable in class csli.util.classify.stanford.SvmLightClassifierFactory

negExamples() - Method in class csli.util.classify.berkeley.TrainingType

negLabel - Static variable in class csli.util.classify.stanford.WeightedWindowClassifierFactory

newInstance(String, Object[]) - Static method in class csli.util.InstanceFactory

Create a new instance of the an object with the passed in class name and passing the arguments passed in to the constructor

newInstance(String, Object[], Class[]) - Static method in class csli.util.InstanceFactory

Create a new instance of the an object with the passed in class name and passing the arguments passed in to the constructor

newInstance(Class<T>) - Static method in class csli.util.InstanceFactory

newInstance(Class<T>, Object[], Class[]) - Static method in class csli.util.InstanceFactory

newInstance(String) - Static method in class csli.util.InstanceFactory

newInstance(String, Object) - Static method in class csli.util.InstanceFactory

newInstance(String, Object, Object) - Static method in class csli.util.InstanceFactory

newInstance(String, Object, Object, Object) - Static method in class csli.util.InstanceFactory

newInstance(String, Object, Object, Object, Object) - Static method in class csli.util.InstanceFactory

newInstance(String, Object, Object, Object, Object, Object) - Static method in class csli.util.InstanceFactory

newInstance(String, Object, Object, Object, Object, Object, Object) - Static method in class csli.util.InstanceFactory

newInstanceIfExists(String, Object[]) - Static method in class csli.util.InstanceFactory

Same as newInstance, only returns null if class doesn't exist, without throwing an exception.

newList(E...) - Static method in class csli.util.collections.CollectionUtils

Returns a new List that contains the given arguments.

newMap(K, V, Object...) - Static method in class csli.util.collections.CollectionUtils

Returns a new map that contains the given arguments, treating them as a list of alternating keys and values: Map map = newMap(1, "george", 2, "martha"); will produce the map {1=george, 2=martha}.

newSet(E...) - Static method in class csli.util.collections.CollectionUtils

Returns a new Set that contains the given arguments.

newSortedSet(E...) - Static method in class csli.util.collections.CollectionUtils

next(int) - Method in class csli.util.math.RandomMT

NEXT_BUTTON_ACTION_COMMAND - Static variable in class csli.util.swing.wizard.Wizard

The String-based action command for the 'Next' button.

NEXT_FINISH_BUTTON_ENABLED_PROPERTY - Static variable in class csli.util.swing.wizard.WizardModel

Property identification String for the Next button's enabled state

NEXT_FINISH_BUTTON_TEXT_PROPERTY - Static variable in class csli.util.swing.wizard.WizardModel

Property identification String for the Next button's text

nextBigInteger(int) - Method in class csli.util.math.RandomMT

Return a random BigInteger between 0 and 2bits, including 0 but not including 2bits.

nextBigInteger(BigInteger) - Method in class csli.util.math.RandomMT

Return a random BigInteger between 0 and n, including 0 but not including n.

nextBigInteger(BigInteger, BigInteger) - Method in class csli.util.math.RandomMT

Return a random BigInteger between min and max, including both endpoints.

nextBooleans(boolean[], int, int) - Method in class csli.util.math.RandomMT

nextBooleans(boolean[]) - Method in class csli.util.math.RandomMT

nextBytes(byte[], int, int) - Method in class csli.util.math.RandomMT

nextBytes(byte[]) - Method in class csli.util.math.RandomMT

nextInt() - Method in class csli.util.math.RandomMT

Returns a 32 bit uniformly distributed random number in the closed interval [Integer.MIN_VALUE,Integer.MAX_VALUE] (including Integer.MIN_VALUE and Integer.MAX_VALUE).

nextInt(int, int) - Method in class csli.util.math.RandomMT

Return a random int between min and max, including both endpoints.

nextL(int) - Method in class csli.util.math.RandomMT

Similar to RandomMT.next(int), but returns a long with at most 64 bits.

nextLong() - Method in class csli.util.math.RandomMT

nextLong(long) - Method in class csli.util.math.RandomMT

Return a random long between 0 and n, including 0 but not including n.

nextLong(long, long) - Method in class csli.util.math.RandomMT

Return a random long between min and max, including both endpoints.

NgramClassifier - Class in csli.util.classify.stanford

A classifier which uses multiple n-gram models, making class decision based on best log-likelihood

NgramClassifier(HashMap<O, N>) - Constructor for class csli.util.classify.stanford.NgramClassifier

NgramClassifierFactory - Class in csli.util.classify.stanford

NgramClassifierFactory(int, double) - Constructor for class csli.util.classify.stanford.NgramClassifierFactory

NgramModel - Class in csli.util.nlp

N-gram model over sequences of arbitrary objects.

NgramModel(int) - Constructor for class csli.util.nlp.NgramModel

NgramModel(int, int) - Constructor for class csli.util.nlp.NgramModel

ngrams(List<S>) - Method in class csli.util.nlp.NgramModel

ngrams(List<S>, int) - Static method in class csli.util.nlp.NgramModel

ngrams(List<S>, int, int) - Static method in class csli.util.nlp.NgramModel

nodeGetter() - Method in class csli.util.collections.tree.AbstractTree

nodes() - Method in class csli.util.collections.tree.AbstractTree

Returns a view of the tree as an unmodifiable collection of nodes of type T.

nodes() - Method in interface csli.util.collections.tree.Tree

nodeToString(Node) - Static method in class csli.util.xml.XmlUtils

Convert an XML node structure to XML string.

nodeToString(Node, int) - Static method in class csli.util.xml.XmlUtils

nodeToString(Node, XmlPrinter) - Static method in class csli.util.xml.XmlUtils

Convert an XML node structure to XML string.

nodeToString(Node, XmlPrinter, int) - Static method in class csli.util.xml.XmlUtils

NONE - Static variable in class csli.util.collections.CurrentList

normalize() - Method in class csli.util.collections.map.SmoothedDistribution

normalize() - Method in class csli.util.collections.map.SmoothedPairDistribution

normalize(Date) - Static method in class csli.util.TimeUtils

Given a date object, return a date object which is set to the same date of the year, but at midnight.

normalizedLL(List<?>) - Method in class csli.util.nlp.NgramModel

Log likelihood normalized for sentence length.

normalizeFeatures(List<D>, Map<String, Integer>) - Static method in class csli.util.classify.stanford.ClassifierUtils

notNull(Object...) - Static method in class csli.util.A

Ensure that every argument is not null.

notNull(List) - Static method in class csli.util.A

Ensure that every element of the list is not null.

numChildren() - Method in class csli.dialog.core.util.Term

numChildren() - Method in class csli.util.collections.tree.AbstractTree

numChildren() - Method in interface csli.util.collections.tree.Tree

numCols() - Method in class csli.util.math.matrix.ArrayMatrix

numCols() - Method in interface csli.util.math.matrix.Matrix

numExamples() - Method in class csli.util.classify.berkeley.TrainingType

numFeatures() - Method in class csli.util.classify.berkeley.FeatureSet

Gets the number of features in the set

numNegExamples() - Method in class csli.util.classify.berkeley.TrainingType

numPosExamples() - Method in class csli.util.classify.berkeley.TrainingType

numRows() - Method in class csli.util.math.matrix.ArrayMatrix

numRows() - Method in interface csli.util.math.matrix.Matrix

numSlots() - Method in class csli.util.collections.DefaultSlotString

numSlots() - Method in interface csli.util.collections.SlotString

numTypes() - Method in class csli.util.classify.berkeley.TrainingSet