de.lmu.ifi.dbs.elki.data

Class SparseDoubleVector.Factory

java.lang.Object

de.lmu.ifi.dbs.elki.data.SparseDoubleVector.Factory

All Implemented Interfaces:

FeatureVector.Factory<SparseDoubleVector,java.lang.Number>, NumberVector.Factory<SparseDoubleVector>, SparseNumberVector.Factory<SparseDoubleVector>

Enclosing class:

SparseDoubleVector

public static class SparseDoubleVector.Factory
extends java.lang.Object
implements SparseNumberVector.Factory<SparseDoubleVector>

Factory class.

Author:

Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	SparseDoubleVector.Factory.Parameterizer Parameterization class.

Constructor Summary

Constructors

Constructor and Description
Factory()

Method Summary

Modifier and Type	Method and Description
ByteBufferSerializer<SparseDoubleVector>	getDefaultSerializer() Get the default serializer for this type.
java.lang.Class<? super SparseDoubleVector>	getRestrictionClass() Get the objects type restriction.
<A> SparseDoubleVector	newFeatureVector(A array, ArrayAdapter<? extends java.lang.Number,A> adapter) Returns a new FeatureVector of V for the given values.
<A> SparseDoubleVector	newNumberVector(A array, NumberArrayAdapter<?,? super A> adapter) Instantiate from any number-array like object.
SparseDoubleVector	newNumberVector(it.unimi.dsi.fastutil.ints.Int2DoubleOpenHashMap values, int maxdim) Returns a new NumberVector of N for the given values.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface de.lmu.ifi.dbs.elki.data.NumberVector.Factory

newNumberVector, newNumberVector

Constructor Detail

Factory

public Factory()

Method Detail

newFeatureVector

public <A> SparseDoubleVector newFeatureVector(A array,
                                               ArrayAdapter<? extends java.lang.Number,A> adapter)

Description copied from interface: FeatureVector.Factory

Returns a new FeatureVector of V for the given values.

Specified by:

newFeatureVector in interface FeatureVector.Factory<SparseDoubleVector,java.lang.Number>

Type Parameters:

A - Array type

Parameters:

array - the values of the featureVector

adapter - adapter class

Returns:

a new FeatureVector of V for the given values

newNumberVector

public <A> SparseDoubleVector newNumberVector(A array,
                                              NumberArrayAdapter<?,? super A> adapter)

Description copied from interface: NumberVector.Factory

Instantiate from any number-array like object.

Specified by:

newNumberVector in interface NumberVector.Factory<SparseDoubleVector>

Type Parameters:

A - Array type

Parameters:

array - Array

adapter - Adapter

Returns:

a new NumberVector of N for the given values.

newNumberVector

public SparseDoubleVector newNumberVector(it.unimi.dsi.fastutil.ints.Int2DoubleOpenHashMap values,
                                          int maxdim)

Description copied from interface: SparseNumberVector.Factory

Returns a new NumberVector of N for the given values.

Specified by:

newNumberVector in interface SparseNumberVector.Factory<SparseDoubleVector>

Parameters:

values - the values of the NumberVector

maxdim - Maximum dimensionality.

Returns:

a new NumberVector of N for the given values

getDefaultSerializer

public ByteBufferSerializer<SparseDoubleVector> getDefaultSerializer()

Description copied from interface: FeatureVector.Factory

Get the default serializer for this type. Note, this may be null when no serializer is available.

Specified by:

getDefaultSerializer in interface FeatureVector.Factory<SparseDoubleVector,java.lang.Number>

Returns:

Serializer

getRestrictionClass

public java.lang.Class<? super SparseDoubleVector> getRestrictionClass()

Description copied from interface: FeatureVector.Factory

Get the objects type restriction.

Specified by:

getRestrictionClass in interface FeatureVector.Factory<SparseDoubleVector,java.lang.Number>

Returns:

Restriction class