double value
ImmutableSparseVector itemMeans
double globalMean
double damping
ImmutableSparseVector userOffsets
ImmutableSparseVector itemOffsets
double mean
Long2ObjectMap<V> userData
private void readObject(java.io.ObjectInputStream in) throws java.io.IOException
java.io.IOException
private java.lang.Object writeReplace() throws java.io.ObjectStreamException
java.io.ObjectStreamException
IntArrayList compactImpl
LongArrayList fullImpl
int domainSize
java.util.BitSet mask
boolean unowned
LongSortedSet itemSet
LongSortedSet userSet
private void readObject(java.io.ObjectInputStream in) throws java.io.IOException
java.io.IOException
private java.lang.Object writeReplace()
org.grouplens.lenskit.data.dao.packed.BinaryHeader header
java.nio.ByteBuffer ratingData
org.grouplens.lenskit.data.dao.packed.BinaryIndexTable userTable
org.grouplens.lenskit.data.dao.packed.BinaryIndexTable itemTable
java.io.File dataFile
BinaryRatingDAO delegate
double minimum
double maximum
double precision
java.lang.String algoName
java.util.Map<K,V> algoAttributes
TTDataSet dataSet
Long2IntMap indexes
LongArrayList ids
private java.lang.Object writeReplace()
java.lang.Class<T> removedType
double threshold
int minIterations
int iterCount
double threshold
int minIterations
VectorSimilarity delegate
LongKeyDomain items
SparseVector[] itemVectors
Long2ObjectMap<V> userItems
LongKeyDomain itemDomain
java.util.List<E> neighborhoods
LongKeyDomain users
java.util.List<E> vectors
java.util.List<E> normedVectors
Long2ObjectMap<V> itemUserSets
VectorSimilarity delegate
int feature
double userAverage
double itemAverage
double singularValue
DoubleList trainingErrors
java.util.List<E> featureInfo
mikera.vectorz.AVector averageUser
double learningRate
double trainingRegularization
ItemScorer baseline
StoppingCondition stoppingCondition
PreferenceDomain domain
PreferenceDomain domain
private void readObject(java.io.ObjectInputStream input) throws java.io.IOException, java.lang.ClassNotFoundException
java.io.IOException
java.lang.ClassNotFoundException
private void writeObject(java.io.ObjectOutputStream out) throws java.io.IOException
java.io.IOException
int featureCount
int userCount
int itemCount
mikera.matrixx.impl.ImmutableMatrix userMatrix
mikera.matrixx.impl.ImmutableMatrix itemMatrix
IdIndexMapping userIndex
IdIndexMapping itemIndex
private void readObject(java.io.ObjectInputStream in) throws java.io.IOException, java.lang.ClassNotFoundException
java.io.IOException
java.lang.ClassNotFoundException
LongList ids
DoubleList scores
java.util.Map<K,V> unboxedChannels
java.util.Map<K,V> channels
Long2ObjectMap<V> matrix
private java.lang.Object readResolve() throws java.io.ObjectStreamException
java.io.ObjectStreamException
java.lang.String name
private java.lang.Object readResolve() throws java.io.ObjectStreamException
java.io.ObjectStreamException
java.lang.Class<T> type
Symbol symbol
PreferenceDomain domain
ItemScorer baselineScorer
VectorNormalizer delegate
VectorNormalizer delegate
double damping
double globalVariance
double tolerance
PreferenceDomain domain
mikera.vectorz.impl.ImmutableVector values
double value
double thresholdValue
Threshold threshold
ThresholdTruncator threshold
int n
Long2IntMap indexes
LongArrayList ids
java.util.Map<K,V> channelVectors
java.util.Map<K,V> channels
java.util.Map<K,V> channelVectors
java.util.Map<K,V> channels
LongKeyDomain keys
double[] values
SparseVector.keys
.double[] data
double dampingFactor
Quantizer quantizer
double shrinkage
int threshold
VectorSimilarity delegate
PearsonCorrelation pearson