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java.lang.Objectcom.rapidminer.operator.Operator
com.rapidminer.operator.OperatorChain
com.rapidminer.operator.validation.ValidationChain
com.rapidminer.operator.validation.BatchXValidation
public class BatchXValidation
BatchXValidation encapsulates a cross-validation process. The
example set S is split up into number_of_validations
subsets S_i. The inner operators are applied
number_of_validations times using S_i as the test
set (input of the second inner operator) and S\backslash S_i
training set (input of the first inner operator).
In contrast to the usual cross validation operator (see XValidation)
this operator does not (randomly) split the data itself but uses the partition
defined by the special attribute "batch". This can be an arbitrary
nominal or integer attribute where each possible value occurs at least once
(since many learning schemes depend on this minimum number of examples).
The first inner operator must accept an
ExampleSet while the second must accept an
ExampleSet and the output of the first (which
is in most cases a Model) and must produce
a PerformanceVector.
The cross validation operator provides several values which can be logged
by means of a ProcessLogOperator. Of course the number of the current
iteration can be logged which might be useful for ProcessLog operators wrapped
inside a cross validation. Beside that, all performance estimation operators
of RapidMiner provide access to the average values calculated during the estimation.
Since the operator cannot ensure the names of the delivered criteria, the
ProcessLog operator can access the values via the generic value names:
| Field Summary | |
|---|---|
static java.lang.String |
PARAMETER_AVERAGE_PERFORMANCES_ONLY
The parameter name for "Indicates if only performance vectors should be averaged or all types of averagable result vectors" |
| Fields inherited from class com.rapidminer.operator.validation.ValidationChain |
|---|
PARAMETER_CREATE_COMPLETE_MODEL |
| Constructor Summary | |
|---|---|
BatchXValidation(OperatorDescription description)
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| Method Summary | |
|---|---|
IOObject[] |
estimatePerformance(ExampleSet inputSet)
This is the main method of the validation chain and must be implemented to estimate a performance of inner operators on the given example set. |
java.util.List<ParameterType> |
getParameterTypes()
Returns a list of ParameterTypes describing the parameters of this operator. |
| Methods inherited from class com.rapidminer.operator.validation.ValidationChain |
|---|
apply, evaluate, evaluate, getInnerOperatorCondition, getInputClasses, getInputDescription, getLearner, getMaxNumberOfInnerOperators, getMinNumberOfInnerOperators, getOutputClasses, learn, setResult |
| 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_AVERAGE_PERFORMANCES_ONLY
| Constructor Detail |
|---|
public BatchXValidation(OperatorDescription description)
| Method Detail |
|---|
public IOObject[] estimatePerformance(ExampleSet inputSet)
throws OperatorException
ValidationChain
estimatePerformance in class ValidationChainOperatorExceptionpublic java.util.List<ParameterType> getParameterTypes()
Operator
getParameterTypes in interface ParameterHandlergetParameterTypes in class ValidationChain
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