- hardSigmoid(double) - Static method in class gov.sandia.cognition.learning.function.scalar.HardSigmoidFunction
-
Computes the hard sigmoid function.
- HardSigmoidFunction - Class in gov.sandia.cognition.learning.function.scalar
-
A hard sigmoid function, which is an approximation of a logistic sigmoid
whose output is between 0 and 1.
- HardSigmoidFunction() - Constructor for class gov.sandia.cognition.learning.function.scalar.HardSigmoidFunction
-
- hardTanH(double) - Static method in class gov.sandia.cognition.learning.function.scalar.HardTanHFunction
-
Computes the hard sigmoid function.
- HardTanHFunction - Class in gov.sandia.cognition.learning.function.scalar
-
A hard sigmoid function, which is an approximation of a tanh sigmoid
whose output is between -1 and 1.
- HardTanHFunction() - Constructor for class gov.sandia.cognition.learning.function.scalar.HardTanHFunction
-
- hasChildren() - Method in class gov.sandia.cognition.learning.algorithm.clustering.hierarchy.AbstractClusterHierarchyNode
-
- hasChildren() - Method in class gov.sandia.cognition.learning.algorithm.clustering.hierarchy.BinaryClusterHierarchyNode
-
- hasChildren() - Method in interface gov.sandia.cognition.learning.algorithm.clustering.hierarchy.ClusterHierarchyNode
-
True if this node has any children.
- hasCogxel(SemanticIdentifier) - Method in interface gov.sandia.cognition.framework.CogxelState
-
Returns true if there is an existing Cogxel for the given identifier and
false otherwise.
- hasCogxel(SemanticIdentifier) - Method in class gov.sandia.cognition.framework.lite.CogxelStateLite
-
Returns true if there is an existing Cogxel for the given identifier and
false otherwise.
- hasFactors() - Method in class gov.sandia.cognition.learning.algorithm.factor.machine.FactorizationMachine
-
Determines if this Factorization Machine has pairwise factor terms.
- hasField(String) - Method in class gov.sandia.cognition.text.document.AbstractDocument
-
- hasField(String) - Method in interface gov.sandia.cognition.text.document.Document
-
Determines if this document has a field of the given name.
- hash(byte[], int) - Static method in class gov.sandia.cognition.hash.Eva32Hash
-
32-bit (4-byte) hash code for the given input and seed
- hash(byte[], long) - Static method in class gov.sandia.cognition.hash.Eva64Hash
-
Computes the Eva64Hash of the given input and the seed
- hash(byte[]) - Static method in class gov.sandia.cognition.hash.FNV1a32Hash
-
FNV-1a 32-bit hash function
- hash(byte[], int) - Static method in class gov.sandia.cognition.hash.FNV1a32Hash
-
FNV-1a 32-bit hash function
- hash(byte[]) - Static method in class gov.sandia.cognition.hash.FNV1a64Hash
-
FNV-1a 64-bit hash function
- hash(byte[], long) - Static method in class gov.sandia.cognition.hash.FNV1a64Hash
-
FNV-1a 64-bit hash function
- hash(byte[], int) - Static method in class gov.sandia.cognition.hash.Murmur32Hash
-
Static hash method that implements the MurmurHash2 32-bit (4-byte)
hash function
- hash(byte[]) - Static method in class gov.sandia.cognition.hash.Prime32Hash
-
Computes the prime-number hash of the given input, prime number, and seed
- hash(byte[], int) - Static method in class gov.sandia.cognition.hash.Prime32Hash
-
Computes the prime-number hash of the given input, prime number, and seed
- hash(byte[], int, int) - Static method in class gov.sandia.cognition.hash.Prime32Hash
-
Computes the prime-number hash of the given input, prime number, and seed
- hash(byte[]) - Static method in class gov.sandia.cognition.hash.Prime64Hash
-
Computes the prime-number hash of the given input, prime number, and seed
- hash(byte[], long) - Static method in class gov.sandia.cognition.hash.Prime64Hash
-
Computes the prime-number hash of the given input, prime number, and seed
- hash(byte[], long, long) - Static method in class gov.sandia.cognition.hash.Prime64Hash
-
Computes the prime-number hash of the given input, prime number, and seed
- hash(byte[]) - Static method in class gov.sandia.cognition.hash.SHA1Hash
-
Computes the SHA-1 representation of the given input.
- hash(byte[], byte[]) - Static method in class gov.sandia.cognition.hash.SHA1Hash
-
Computes the SHA-1 representation of the given input.
- hash(byte[], byte[], byte[]) - Static method in class gov.sandia.cognition.hash.SHA1Hash
-
Computes the SHA-1 representation of the given input and seed.
- hash(byte[]) - Static method in class gov.sandia.cognition.hash.SHA256Hash
-
SHA-2 256-bit hash function
- hash(byte[], byte[]) - Static method in class gov.sandia.cognition.hash.SHA256Hash
-
SHA-2 256-bit hash function
- hash(byte[], byte[], byte[]) - Static method in class gov.sandia.cognition.hash.SHA256Hash
-
SHA-2 256-bit hash function
- hash(int) - Method in class gov.sandia.cognition.learning.data.feature.FeatureHashing
-
Applies the hashing function to the index.
- hashCode() - Method in class gov.sandia.cognition.collection.DoubleArrayList
-
- hashCode() - Method in class gov.sandia.cognition.collection.IntArrayList
-
- hashCode() - Method in class gov.sandia.cognition.framework.AbstractSemanticIdentifier
-
Computes the hash-code for the SemanticIdentifier, which should be
equal to a call to getIdentifier.
- hashCode() - Method in class gov.sandia.cognition.framework.DefaultSemanticLabel
-
Computes the hash-code for the label, which is just the hash-code for
its String.
- hashCode() - Method in class gov.sandia.cognition.framework.learning.converter.AbstractCogxelPairConverter
-
- hashCode() - Method in class gov.sandia.cognition.framework.learning.converter.CogxelBooleanConverter
-
- hashCode() - Method in class gov.sandia.cognition.framework.learning.converter.CogxelDoubleConverter
-
- hashCode() - Method in class gov.sandia.cognition.framework.learning.converter.CogxelInputOutputPairConverter
-
- hashCode() - Method in class gov.sandia.cognition.framework.learning.converter.CogxelTargetEstimatePairConverter
-
- hashCode() - Method in class gov.sandia.cognition.framework.learning.converter.CogxelVectorConverter
-
- hashCode() - Method in interface gov.sandia.cognition.framework.SemanticIdentifier
-
Computes the hash-code for the SemanticIdentifier, which should be
equal to a call to getIdentifier.
- hashCode() - Method in interface gov.sandia.cognition.framework.SemanticLabel
-
Computes the hash-code for the label.
- hashCode() - Method in class gov.sandia.cognition.learning.algorithm.minimization.matrix.ConjugateGradientMatrixSolver
-
- hashCode() - Method in class gov.sandia.cognition.learning.algorithm.minimization.matrix.ConjugateGradientWithPreconditionerMatrixSolver
-
- hashCode() - Method in class gov.sandia.cognition.learning.algorithm.minimization.matrix.IterativeMatrixSolver
-
- hashCode() - Method in class gov.sandia.cognition.learning.algorithm.minimization.matrix.MatrixVectorMultiplier
-
- hashCode() - Method in class gov.sandia.cognition.learning.algorithm.minimization.matrix.OverconstrainedConjugateGradientMatrixMinimizer
-
- hashCode() - Method in class gov.sandia.cognition.learning.algorithm.minimization.matrix.OverconstrainedMatrixVectorMultiplier
-
- hashCode() - Method in class gov.sandia.cognition.learning.algorithm.minimization.matrix.SteepestDescentMatrixSolver
-
- hashCode() - Method in class gov.sandia.cognition.learning.function.scalar.VectorEntryFunction
-
- hashCode() - Method in class gov.sandia.cognition.math.ComplexNumber
-
- hashCode() - Method in class gov.sandia.cognition.math.geometry.KDTree.Neighborhood.Neighbor
-
- hashCode() - Method in class gov.sandia.cognition.math.LogNumber
-
- hashCode() - Method in class gov.sandia.cognition.math.matrix.AbstractMatrix
-
- hashCode() - Method in class gov.sandia.cognition.math.matrix.AbstractVector
-
- hashCode() - Method in class gov.sandia.cognition.math.matrix.DefaultInfiniteVector
-
- hashCode() - Method in class gov.sandia.cognition.math.MutableDouble
-
- hashCode() - Method in class gov.sandia.cognition.math.MutableInteger
-
- hashCode() - Method in class gov.sandia.cognition.math.MutableLong
-
- hashCode() - Method in class gov.sandia.cognition.math.UnsignedLogNumber
-
- hashCode() - Method in class gov.sandia.cognition.statistics.distribution.MultivariateGaussian
-
- hashCode() - Method in class gov.sandia.cognition.statistics.TransferEntropy.TransferEntropyDistributionObject
-
- hashCode() - Method in class gov.sandia.cognition.statistics.UnivariateRandomVariable
-
Warning: The hashCode of this class is just the default hashCode,
but equality uses a statistical test to see if two random variables
are equal.
- hashCode() - Method in class gov.sandia.cognition.text.DefaultTextual
-
- hashCode() - Method in class gov.sandia.cognition.text.term.AbstractTerm
-
- hashCode() - Method in class gov.sandia.cognition.text.term.DefaultIndexedTerm
-
- hashCode() - Method in class gov.sandia.cognition.text.term.DefaultTermOccurrence
-
- hashCode() - Method in class gov.sandia.cognition.text.term.relation.IndexedTermSimilarityRelation
-
- hashCode() - Method in class gov.sandia.cognition.time.DefaultDuration
-
- hashCode() - Method in class gov.sandia.cognition.util.DefaultKeyValuePair
-
- hashCode() - Method in class gov.sandia.cognition.util.DefaultPair
-
- hashCodeSafe(Object) - Static method in class gov.sandia.cognition.util.ObjectUtil
-
Determines the hash code of the given value by calling the hashCode
method on the given object if it is not null.
- HashFunction - Interface in gov.sandia.cognition.hash
-
A hash function maps an arbitrarily large input and maps it onto a
finite-length output.
- hashFunction - Variable in class gov.sandia.cognition.learning.data.feature.FeatureHashing
-
The hashing function to use.
- HashFunctionUtil - Class in gov.sandia.cognition.hash
-
Static class with helper functions for hash codes
- HashFunctionUtil() - Constructor for class gov.sandia.cognition.hash.HashFunctionUtil
-
- hasIndex(int) - Method in class gov.sandia.cognition.collection.DefaultIndexer
-
- hasIndex(Integer) - Method in class gov.sandia.cognition.collection.DefaultIndexer
-
- hasIndex(int) - Method in interface gov.sandia.cognition.collection.Indexer
-
Determines if the given index is valid for this indexer, which means it
has a value associated with it.
- hasIndex(Integer) - Method in interface gov.sandia.cognition.collection.Indexer
-
Determines if the given index is valid for this indexer, which means it
has a value associated with it.
- hasIndex(int) - Method in class gov.sandia.cognition.text.term.AbstractTermIndex
-
- hasIndex(int) - Method in interface gov.sandia.cognition.text.term.TermIndex
-
Determines if the term index contains the given index.
- hasIndexedTerm(IndexedTerm) - Method in class gov.sandia.cognition.text.term.AbstractTermIndex
-
- hasIndexedTerm(IndexedTerm) - Method in interface gov.sandia.cognition.text.term.TermIndex
-
Determines if the given indexed term matches the term at the given index
value in this term index.
- hasNext() - Method in class gov.sandia.cognition.collection.AbstractLogNumberMap.SimpleIterator
-
- hasNext() - Method in class gov.sandia.cognition.collection.AbstractMutableDoubleMap.SimpleIterator
-
- hasNext() - Method in class gov.sandia.cognition.collection.FiniteCapacityBuffer.InternalIterator
-
- hasNext() - Method in class gov.sandia.cognition.collection.MultiIterator
- hasNext() - Method in class gov.sandia.cognition.math.Combinations.AbstractCombinationsIterator
-
- hasNext() - Method in class gov.sandia.cognition.math.geometry.KDTree.InOrderKDTreeIterator
-
- hasNext() - Method in class gov.sandia.cognition.math.geometry.KDTree.Neighborhood.NeighborhoodIterator
-
- hasNext() - Method in class gov.sandia.cognition.math.matrix.custom.VectorIterator
-
- hasNext() - Method in class gov.sandia.cognition.math.matrix.DefaultInfiniteVector.SimpleIterator
-
- hasNext() - Method in class gov.sandia.cognition.math.matrix.MatrixUnionIterator
- hasNext() - Method in class gov.sandia.cognition.math.matrix.VectorUnionIterator
-
- hasNext() - Method in class gov.sandia.cognition.statistics.distribution.MultinomialDistribution.Domain.MultinomialIterator
-
- hasPrevious() - Method in class gov.sandia.cognition.collection.FiniteCapacityBuffer.InternalIterator
-
- hasRelation(ObjectType, ObjectType) - Method in interface gov.sandia.cognition.text.relation.RelationNetwork
-
Determines if the network has a relation between the two given objects.
- hasRelation(IndexedTerm, IndexedTerm) - Method in class gov.sandia.cognition.text.term.relation.MatrixBasedTermSimilarityNetwork
-
- hasSufficientPoints(LineBracket) - Method in interface gov.sandia.cognition.learning.algorithm.minimization.line.interpolator.LineBracketInterpolator
-
Determines if the LineBracket contains a sufficient number/quality of
points to conduct the interpolation.
- hasSufficientPoints(LineBracket) - Method in class gov.sandia.cognition.learning.algorithm.minimization.line.interpolator.LineBracketInterpolatorBrent
-
- hasSufficientPoints(LineBracket) - Method in class gov.sandia.cognition.learning.algorithm.minimization.line.interpolator.LineBracketInterpolatorGoldenSection
-
Golden section step only needs the bounds to operate, so we'll just
check to make sure they're not null.
- hasSufficientPoints(LineBracket) - Method in class gov.sandia.cognition.learning.algorithm.minimization.line.interpolator.LineBracketInterpolatorHermiteCubic
-
- hasSufficientPoints(LineBracket) - Method in class gov.sandia.cognition.learning.algorithm.minimization.line.interpolator.LineBracketInterpolatorHermiteParabola
-
- hasSufficientPoints(LineBracket) - Method in class gov.sandia.cognition.learning.algorithm.minimization.line.interpolator.LineBracketInterpolatorLinear
-
- hasSufficientPoints(LineBracket) - Method in class gov.sandia.cognition.learning.algorithm.minimization.line.interpolator.LineBracketInterpolatorParabola
-
Parabolic interpolation needs three noncollinear points to fit a
parabola to them.
- hasTerm(Termable) - Method in class gov.sandia.cognition.text.term.AbstractTermIndex
-
- hasTerm(Term) - Method in class gov.sandia.cognition.text.term.AbstractTermIndex
-
- hasTerm(Termable) - Method in interface gov.sandia.cognition.text.term.TermIndex
-
Determines if the index contains the given term.
- hasTerm(Term) - Method in interface gov.sandia.cognition.text.term.TermIndex
-
Determines if the index contains the given term.
- hasValue(ValueType) - Method in class gov.sandia.cognition.collection.DefaultIndexer
-
- hasValue(ValueType) - Method in interface gov.sandia.cognition.collection.Indexer
-
Determines if the given value is known to the indexer and has an index.
- hasWeights() - Method in class gov.sandia.cognition.learning.algorithm.factor.machine.FactorizationMachine
-
Determines if this Factorization Machine has a linear weight term.
- HiddenMarkovModel<ObservationType> - Class in gov.sandia.cognition.learning.algorithm.hmm
-
A discrete-state Hidden Markov Model (HMM) with either continuous
or discrete observations.
- HiddenMarkovModel() - Constructor for class gov.sandia.cognition.learning.algorithm.hmm.HiddenMarkovModel
-
Default constructor.
- HiddenMarkovModel(int) - Constructor for class gov.sandia.cognition.learning.algorithm.hmm.HiddenMarkovModel
-
Creates a new instance of ContinuousDensityHiddenMarkovModel
- HiddenMarkovModel(Vector, Matrix, Collection<? extends ComputableDistribution<ObservationType>>) - Constructor for class gov.sandia.cognition.learning.algorithm.hmm.HiddenMarkovModel
-
Creates a new instance of ContinuousDensityHiddenMarkovModel
- hiddenToOutputBiasWeights - Variable in class gov.sandia.cognition.learning.function.vector.ThreeLayerFeedforwardNeuralNetwork
-
Bias weights to add to each of the output units.
- hiddenToOutputWeights - Variable in class gov.sandia.cognition.learning.function.vector.ThreeLayerFeedforwardNeuralNetwork
-
Matrix of weights to pre-multiply the hidden-unit activations by.
- HierarchyNode() - Constructor for class gov.sandia.cognition.learning.algorithm.clustering.AgglomerativeClusterer.HierarchyNode
-
Creates a new HierarchyNode.
- HierarchyNode(ClusterType) - Constructor for class gov.sandia.cognition.learning.algorithm.clustering.AgglomerativeClusterer.HierarchyNode
-
Creates a new HierarchyNode.
- HierarchyNode(ClusterType, AgglomerativeClusterer.HierarchyNode<DataType, ClusterType>, AgglomerativeClusterer.HierarchyNode<DataType, ClusterType>, double) - Constructor for class gov.sandia.cognition.learning.algorithm.clustering.AgglomerativeClusterer.HierarchyNode
-
Creates a new HierarchyNode.
- HolmCorrection - Class in gov.sandia.cognition.statistics.method
-
The Holm correction is a uniformly tighter bound than the Bonferroni/Sidak
correction by first sorting the pair-wide p-values and then adjusting the
p-values by the number of remaining hypotheses.
- HolmCorrection() - Constructor for class gov.sandia.cognition.statistics.method.HolmCorrection
-
Default constructor
- HolmCorrection(NullHypothesisEvaluator<Collection<? extends Number>>) - Constructor for class gov.sandia.cognition.statistics.method.HolmCorrection
-
Creates a new instance of BonferroniCorrection
- HolmCorrection.Statistic - Class in gov.sandia.cognition.statistics.method
-
Test statistic from the Shaffer static multiple-comparison test
- HOUR - Static variable in class gov.sandia.cognition.time.DefaultDuration
-
An hour in duration.
- HOURS_PER_DAY - Static variable in class gov.sandia.cognition.time.DefaultDuration
-
There are 24 hours per day.