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java.lang.Objectcom.rapidminer.operator.Operator
com.rapidminer.operator.features.transformation.GHA
public class GHA
Generalized Hebbian Algorithm (GHA) is an iterative method to compute
principal components. From a computational point of view, it can be
advantageous to solve the eigenvalue problem by iterative methods which do
not need to compute the covariance matrix directly. This is useful when the
ExampleSet contains many Attributes (hundreds, thousands). The operator
outputs a GHAModel. With the ModelApplier you
can transform the features.
| Field Summary | |
|---|---|
static java.lang.String |
PARAMETER_LEARNING_RATE
The parameter name for "The learning rate for GHA (small)" |
static java.lang.String |
PARAMETER_LOCAL_RANDOM_SEED
The parameter name for "The local random seed for this operator, uses global random number generator if -1. |
static java.lang.String |
PARAMETER_NUMBER_OF_COMPONENTS
The parameter name for "Number of components to compute. |
static java.lang.String |
PARAMETER_NUMBER_OF_ITERATIONS
The parameter name for "Number of Iterations to apply the update rule. |
| Constructor Summary | |
|---|---|
GHA(OperatorDescription description)
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| Method Summary | |
|---|---|
IOObject[] |
apply()
Implement this method in subclasses. |
java.lang.Class<?>[] |
getInputClasses()
Returns the classes that are needed as input. |
java.lang.Class<?>[] |
getOutputClasses()
Returns the classes that are guaranteed to be returned by apply() as additional output. |
java.util.List<ParameterType> |
getParameterTypes()
Returns a list of ParameterTypes describing the parameters of this operator. |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Field Detail |
|---|
public static final java.lang.String PARAMETER_NUMBER_OF_COMPONENTS
public static final java.lang.String PARAMETER_NUMBER_OF_ITERATIONS
public static final java.lang.String PARAMETER_LEARNING_RATE
public static final java.lang.String PARAMETER_LOCAL_RANDOM_SEED
| Constructor Detail |
|---|
public GHA(OperatorDescription description)
| Method Detail |
|---|
public IOObject[] apply()
throws OperatorException
Operator
apply in class OperatorOperatorExceptionpublic java.lang.Class<?>[] getInputClasses()
OperatorOperator.getOutputClasses() and
Operator.apply() if this is necessary. This default behavior can be
changed by overriding Operator.getInputDescription(Class). Subclasses
which implement this method should not make use of parameters since this
method is invoked by getParameterTypes(). Therefore, parameters are not
fully available at this point of time and this might lead to exceptions.
Please use InputDescriptions instead.
getInputClasses in class Operatorpublic java.lang.Class<?>[] getOutputClasses()
OperatorReturns the classes that are guaranteed to be returned by
apply() as additional output. Please note that input objects
which should not be consumed must also be defined by this method (e.g.
an example set which is changed but not consumed in the case of a preprocessing
operator must be defined in both, the methods Operator.getInputClasses() and
Operator.getOutputClasses()). The default behavior for input consumation
is defined by Operator.getInputDescription(Class) and can be changed by
overwriting this method. Objects which are not consumed (defined by changing
the implementation in Operator.getInputDescription(Class)) must not be
defined as additional output in this method.
May deliver null or an empy array (no additional output is produced or guaranteed). Must return the class array of delivered output objects otherwise.
getOutputClasses in class Operatorpublic java.util.List<ParameterType> getParameterTypes()
Operator
getParameterTypes in interface ParameterHandlergetParameterTypes in class Operator
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