DKPro Lab is a lightweight framework for parameter sweeping experiments. It allows the user to set up experiments consisting of multiple interdependent tasks in a declarative manner with minimal overhead. Parameters are injected into tasks using via annotated class fields. Data produced by a task for any particular parameter configuration is stored and re-used whenever possible to avoid needless recalculation of results. Reports can be attached to each task to post-process the experimental results and present them in a convenient manner (e.g., as tables or charts).
|Tags||UIMA parameter sweeping|
|Operating Systems||Java Runtime Environment 6|
Release Notes: Upgraded to uimaFIT 2.0.0. Better support for Groovy; in particular, get/setProperty in Task has been renamed to get/setAttribute to resolve a clash with Groovy method names.