DKPro Lab - Machine Learning - Example

DKPro Lab is a lightweight framework for parameter sweeping experiments. It allows 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 the 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.

Homepage POM file JAR file Javadoc
'de.tudarmstadt.ukp.dkpro.lab:dkpro-lab-ml-example:0.11.0'

Dependencies

Compile dependencies

Test dependencies