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.
In local mode, Apache Spark 2.4.0 and later versions are supported.
This component is not shipped with your Talend Studio by default. You need to install it using the Feature Manager. For more information, see Installing features using the Feature Manager.
For more technologies supported by Talend, see Talend components.