Analyzes feature vectors.
These vectors are usually pre-processed by tModelEncoder to generate a classifier model that is used by tPredict to classify given elements.
tRandomForestModel analyzes incoming datasets based on applying the Random Forest algorithm.
It generates a classification model out of this analysis and writes this model either in memory or in a given file system.
For more technologies supported by Talend, see Talend components.