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Class Summary |
| AbsoluteSplitChain |
An operator chain that split an ExampleSet into two disjunct parts
and applies the first child operator on the first part and applies the second
child on the second part and the result of the first child. |
| AbstractIteratingOperatorChain |
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| AbstractSplitChain |
An operator chain that split an ExampleSet into two disjoint parts
and applies the first child operator on the first part and applies the second
child on the second part and the result of the first child. |
| AverageBuilder |
Collects all average vectors (e.g. |
| BatchProcessing |
This operator groups the input examples into batches of the specified size and performs
the inner operators on all batches subsequently. |
| ClusterIterator |
This operator splits up the input example set according to the clusters and
applies its inner operators number_of_clusters time on copies
of its own input. |
| ESParameterOptimization |
Evolutionary Strategy approach for an evolutionary parameter optimization. |
| EvolutionaryParameterOptimizationOperator |
This operator finds the optimal values for a set of parameters using an evolutionary
strategies approach which is often more appropriate than a grid search or a greedy search
like the quadratic programming approach and leads to better results. |
| ExampleIterator |
This operator takes an input data set and applies its inner operators
as often as the number of examples of the input data is. |
| ExampleSetIterator |
For each example set the ExampleSetIterator finds in its input, the inner
operators are applied as if it was an OperatorChain. |
| ExceptionHandling |
This operator performs the inner operators and delivers the result of the
inner operators. |
| FeatureIterator |
This operator takes an input data set and applies its inner operators
as often as the number of features of the input data is. |
| FeatureSubsetIteration |
This meta operator iterates through all possible feature subsets within the specified range
and applies the inner operators on the feature subsets. |
| FileIterator |
This operator iterates over the files in the specified directory (and
subdirectories if the corresponding parameter is set to true). |
| GridSearchParameterOptimizationOperator |
This operator finds the optimal values for a set of parameters using a grid
search. |
| IteratingOperatorChain |
Performs its inner operators for the defined number of times. |
| LearningCurveOperator |
This operator first divides the input example set into two parts, a training set and a test set
according to the parameter "training_ratio". |
| MultipleLabelIterator |
Performs the inner operator for all label attributes, i.e. special attributes
whose role name starts with "label". |
| OperatorEnabler |
This operator can be used to enable and disable other operators. |
| OperatorSelector |
This operator can be used to employ a single inner operator or operator chain. |
| ParameterCloner |
Sets a list of parameters using existing parameter values. |
| ParameterIteratingOperatorChain |
Provides an operator chain which operates on given parameters
depending on specified values for these parameters. |
| ParameterIteration |
In contrast to the GridSearchParameterOptimizationOperator operator this
operators simply uses the defined parameters and perform the inner operators
for all possible combinations. |
| ParameterOptimizationOperator |
This operator provides basic functions for all other
parameter optimization operators. |
| ParameterSet |
A set of parameters generated by a ParameterOptimizationOperator. |
| ParameterSetter |
Sets a set of parameters. |
| ParameterValue |
The parameter values used by the class ParameterSet. |
| PartialExampleSetLearner |
This operator works similar to the LearningCurveOperator. |
| ProcessEmbeddingOperator |
This operator can be used to embed a complete process definition into the current
process definition. |
| QuadraticParameterOptimizationOperator |
This operator finds the optimal values for a set of parameters using a
quadratic interaction model. |
| RandomOptimizationChain |
This operator iterates several times through the inner operators and in each cycle evaluates a performance measure. |
| RatioSplitChain |
An operator chain that split an ExampleSet into two disjunct parts
and applies the first child operator on the first part and applies the second
child on the second part and the result of the first child. |
| RepeatUntilOperatorChain |
Performs its inner operators until all given criteria are met or a timeout
occurs. |
| ValueIteration |
In each iteration step, this meta operator executes its inner process
to the input example set. |
| ValueSubgroupIteration |
In each iteration step, this meta operator applies its inner operators
to a subset of the input example set. |
| XVPrediction |
Operator chain that splits an ExampleSet into a training and test sets similar to XValidation, but returns
the test set predictions instead of a performance vector. |