| Class | Description |
|---|---|
| EvaluationRun |
This class represents a single run for an algorithm with specific implementation using specific datasets with its qualitative scores and quantitative records
|
| GoldStandard |
This class contains the gold standard mapping and the source and target URIs
|
| PairDissimilar<S,T> |
This generic class combines pair of data from different datatypes
|
| PairSimilar<T> |
This generic class combines pair of data from same datatypes
|
| Point | |
| TaskAlgorithm |
This class combines a machine learning algorithm information to be executed
|
| TaskData |
This class contains all information regarding a dataset used for evaluating an algorithm.
It includes the name, cache of the source dataset, cache of the target dataset, the mapping predicted and the gold standard |
| Tree<T> |
| Enum | Description |
|---|---|
| LogicOperator |
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