Uses of Class
adams.data.instancesanalysis.pls.AbstractPLS
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Packages that use AbstractPLS Package Description adams.data.instancesanalysis adams.data.instancesanalysis.pls weka.classifiers.functions weka.filters.supervised.attribute -
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Uses of AbstractPLS in adams.data.instancesanalysis
Fields in adams.data.instancesanalysis declared as AbstractPLS Modifier and Type Field Description protected AbstractPLS
PLS. m_Algorithm
the algorithm to use.Methods in adams.data.instancesanalysis that return AbstractPLS Modifier and Type Method Description AbstractPLS
PLS. getAlgorithm()
Returns the algorithm to use.Methods in adams.data.instancesanalysis with parameters of type AbstractPLS Modifier and Type Method Description void
PLS. setAlgorithm(AbstractPLS value)
Sets the algorithm to use. -
Uses of AbstractPLS in adams.data.instancesanalysis.pls
Subclasses of AbstractPLS in adams.data.instancesanalysis.pls Modifier and Type Class Description class
AbstractMultiClassPLS
Ancestor for schemes that predict multiple classes.class
AbstractSingleClassPLS
Ancestor for schemes that predict a single class.class
DIPLS
class
KernelPLS
class
NIPALS
class
OPLS
class
PLS1
Implementation of PLS1 algorithm.
For more information see:
Tormod Naes, Tomas Isaksson, Tom Fearn, Tony Davies (2002).class
PRM
class
SIMPLS
Implementation of SIMPLS algorithm.
Available matrices: W, B
For more information see:
Tormod Naes, Tomas Isaksson, Tom Fearn, Tony Davies (2002).class
SparsePLS
class
VCPLS
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Uses of AbstractPLS in weka.classifiers.functions
Fields in weka.classifiers.functions declared as AbstractPLS Modifier and Type Field Description protected AbstractPLS
PLSWeighted. m_Algorithm
the PLS algorithmMethods in weka.classifiers.functions that return AbstractPLS Modifier and Type Method Description AbstractPLS
PLSWeighted. getAlgorithm()
Get the PLS algorithm.AbstractPLS
PLSWeighted. getDefaultAlgorithm()
Returns the default PLS filter.Methods in weka.classifiers.functions with parameters of type AbstractPLS Modifier and Type Method Description void
PLSWeighted. setAlgorithm(AbstractPLS value)
Set the PLS algorithm (only used for setup). -
Uses of AbstractPLS in weka.filters.supervised.attribute
Fields in weka.filters.supervised.attribute declared as AbstractPLS Modifier and Type Field Description protected AbstractPLS
MultiPLS. m_Algorithm
the PLS algorithm.protected AbstractPLS
PLS. m_Algorithm
the PLS algorithm.Fields in weka.filters.supervised.attribute with type parameters of type AbstractPLS Modifier and Type Field Description protected Map<String,AbstractPLS>
MultiPLS. m_PLS
the PLS algorithms corresponding to the Y attributes.Methods in weka.filters.supervised.attribute that return AbstractPLS Modifier and Type Method Description AbstractPLS
MultiPLS. getAlgorithm()
Returns the PLS algorithm to use.AbstractPLS
PLS. getAlgorithm()
Returns the PLS algorithm to use.protected AbstractPLS
MultiPLS. getDefaultAlgorithm()
Returns the default algorithm.protected AbstractPLS
PLS. getDefaultAlgorithm()
Returns the default algorithm.Methods in weka.filters.supervised.attribute with parameters of type AbstractPLS Modifier and Type Method Description void
MultiPLS. setAlgorithm(AbstractPLS value)
Sets the PLS algorithm to use.void
PLS. setAlgorithm(AbstractPLS value)
Sets the PLS algorithm to use.
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