Uses of Class
org.openimaj.util.array.SparseFloatArray

Packages that use SparseFloatArray

Package	Description
org.openimaj.feature
org.openimaj.lsh.functions
org.openimaj.util.array
org.openimaj.workinprogress.sgdsvm

Uses of SparseFloatArray in org.openimaj.feature

Fields in org.openimaj.feature declared as SparseFloatArray

Modifier and Type	Field and Description
SparseFloatArray	SparseFloatFV.values The underlying data backing the feature vector

Methods in org.openimaj.feature that return SparseFloatArray

Modifier and Type	Method and Description
SparseFloatArray	SparseFloatFV.getVector()

Methods in org.openimaj.feature with parameters of type SparseFloatArray

Modifier and Type	Method and Description
abstract double	SparseFloatFVComparison.compare(SparseFloatArray h1, SparseFloatArray h2) Compare two feature vectors in the form of sparse arrays, returning a score or distance.

Constructors in org.openimaj.feature with parameters of type SparseFloatArray

Constructor and Description
SparseFloatFV(SparseFloatArray values) Construct from sparse array

Uses of SparseFloatArray in org.openimaj.lsh.functions

Methods in org.openimaj.lsh.functions with parameters of type SparseFloatArray

Modifier and Type	Method and Description
int	FloatPStableFactory.PStableFunction.computeHashCode(SparseFloatArray array)
int	FloatHashFunction.computeHashCode(SparseFloatArray array) Compute the hash code for the sparse array.

Uses of SparseFloatArray in org.openimaj.util.array

Subclasses of SparseFloatArray in org.openimaj.util.array

Modifier and Type	Class and Description
class	SparseBinSearchFloatArray A Sparse array of float values implemented using a pair of sorted parallel arrays.
class	SparseHashedFloatArray A SparseFloatArray implementation based on a TIntFloatHashMap.

Methods in org.openimaj.util.array that return SparseFloatArray

Modifier and Type	Method and Description
SparseFloatArray	SparseFloatArray.add(SparseFloatArray vector) Add the values in the given vector to a copy of this array and return the result
SparseFloatArray	SparseFloatArray.addInplace(SparseFloatArray vector) Add the values in the given vector to this vector and return this
SparseFloatArray	SparseFloatArray.concatenate(List<SparseFloatArray> ins)
SparseFloatArray	SparseFloatArray.concatenate(SparseFloatArray... ins)
static SparseFloatArray	SparseFloatArray.concatenateArrays(SparseFloatArray... arrays) Concatenate multiple arrays into a single new array.
SparseFloatArray	SparseBinSearchFloatArray.copy()
SparseFloatArray	SparseHashedFloatArray.copy()
abstract SparseFloatArray	SparseFloatArray.copy() Deep copy the array.
SparseFloatArray	SparseFloatArray.multiply(double value) Copy this vector and multiply its values by a scalar
SparseFloatArray	SparseFloatArray.multiplyInplace(double value) Multiply the values inplace by a scalar and return this
SparseFloatArray	SparseBinSearchFloatArray.reverse()
SparseFloatArray	SparseHashedFloatArray.reverse()
abstract SparseFloatArray	SparseFloatArray.reverse() Reverse the elements, returning this.
SparseFloatArray	SparseFloatArray.subtract(SparseFloatArray vector) Subtract the values in the given vector from a copy of this vector and return the result
SparseFloatArray	SparseFloatArray.subtractInplace(SparseFloatArray vector) Subtract the values in the given vector from this array and return this

Methods in org.openimaj.util.array with parameters of type SparseFloatArray

Modifier and Type	Method and Description
SparseFloatArray	SparseFloatArray.add(SparseFloatArray vector) Add the values in the given vector to a copy of this array and return the result
SparseFloatArray	SparseFloatArray.addInplace(SparseFloatArray vector) Add the values in the given vector to this vector and return this
SparseFloatArray	SparseFloatArray.concatenate(SparseFloatArray... ins)
static SparseFloatArray	SparseFloatArray.concatenateArrays(SparseFloatArray... arrays) Concatenate multiple arrays into a single new array.
double	SparseFloatArray.dotProduct(SparseFloatArray vector) Compute the dot product with another vector
Iterable<SparseFloatArray.DualEntry>	SparseFloatArray.intersectEntries(SparseFloatArray otherArray) Provide an iterator over the intersection of values present in both this array and another array.
SparseFloatArray	SparseFloatArray.subtract(SparseFloatArray vector) Subtract the values in the given vector from a copy of this vector and return the result
SparseFloatArray	SparseFloatArray.subtractInplace(SparseFloatArray vector) Subtract the values in the given vector from this array and return this
Iterable<SparseFloatArray.DualEntry>	SparseBinSearchFloatArray.unionEntries(SparseFloatArray otherArray)
Iterable<SparseFloatArray.DualEntry>	SparseFloatArray.unionEntries(SparseFloatArray otherArray) Provide an iterator over the union of values present in both this array and another array.

Method parameters in org.openimaj.util.array with type arguments of type SparseFloatArray

Modifier and Type	Method and Description
SparseFloatArray	SparseFloatArray.concatenate(List<SparseFloatArray> ins)

Uses of SparseFloatArray in org.openimaj.workinprogress.sgdsvm

Methods in org.openimaj.workinprogress.sgdsvm with parameters of type SparseFloatArray

Modifier and Type	Method and Description
void	SvmSgd.determineEta0(int imin, int imax, SparseFloatArray[] xp, double[] yp)
double	SvmSgd.evaluateEta(int imin, int imax, SparseFloatArray[] xp, double[] yp, double eta)
void	SvmSgd.test(int imin, int imax, SparseFloatArray[] xp, double[] yp, String prefix)
double	SvmSgd.testOne(SparseFloatArray x, double y, double[] ploss, double[] pnerr)
void	SvmSgd.train(int imin, int imax, SparseFloatArray[] xp, double[] yp)
void	SvmSgd.trainOne(SparseFloatArray x, double y, double eta)

Method parameters in org.openimaj.workinprogress.sgdsvm with type arguments of type SparseFloatArray

Modifier and Type	Method and Description
void	SvmSgd.determineEta0(int imin, int imax, List<SparseFloatArray> xp, gnu.trove.list.array.TDoubleArrayList yp)
double	SvmSgd.evaluateEta(int imin, int imax, List<SparseFloatArray> xp, gnu.trove.list.array.TDoubleArrayList yp, double eta)
int	Loader.load(List<SparseFloatArray> xp, gnu.trove.list.array.TDoubleArrayList yp, boolean normalize, int maxrows, int[] p_maxdim, int[] p_pcount, int[] p_ncount)
void	SvmSgd.test(int imin, int imax, List<SparseFloatArray> xp, gnu.trove.list.array.TDoubleArrayList yp, String prefix)
void	SvmSgd.train(int imin, int imax, List<SparseFloatArray> xp, gnu.trove.list.array.TDoubleArrayList yp)