Builds a linear regression model using a training dataset.
This component analyzes feature vectors usually prepared and provided by tModelEncoder to generate a linear regression model that expresses how an outcome is dependent on a given set of features. Then tPredict uses this model to predict the outcome ofthe same type of features it receives.
This model can be used directly in the same Job or written to a file system for later use.
In local mode, Apache Spark 1.6.0 and later versions are supported.
For more technologies supported by Talend, see Talend components.