Performs featurization operations to transform data into the format expected by the model training components such as tLogisticRegressionModel or tKMeansModel.
tModelEncoder receives data from its preceding components, applies a wide range of feature processing algorithms to transform given columns of this data and sends the result to the model training component that follows to eventually train and create a predictive model.
For more technologies supported by Talend, see Talend components.