Class | Description |
---|---|
DKProTcDeepTestTask |
This is a facade-task that is used in experimental setups to avoid the need for providing the
machine learning adapter when the experiment is wired together, i.e. train-test or
cross-validation.
|
DKProTcShallowSerializationTask | |
DKProTcShallowTestTask |
This is a facade-task that is used in experimental setups to avoid the need for providing the
machine learning adapter when the experiment is wired together, i.e. train-test or
cross-validation.
|
DynamicDiscriminableFunctionDimension | |
ExtractFeaturesTask |
Executes all feature extractors and stores the feature representation (usually an Weka ARFF file)
on disk.
|
InitTask |
Initialization of the TC pipeline 1) checks the validity of the setup 2) runs the preprocessing
3) runs the outcome/unit annotator 4) runs additional validity checks that check the outcome/unit
setup
|
MetaInfoTask |
Iterates over all documents and stores required collection-level meta data, e.g. which n-grams
appear in the documents.
|
ModelSerializationTask | |
OutcomeCollectionTask |
The InitTask writes the outcomes they encountered.
|
TcTaskTypeUtil |
Enum | Description |
---|---|
TcTaskType |
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