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Generates an SVM-based classifier model that can be used by tPredict to classify given elements.

tSVMModel applies the SVM algorithm to analyze feature vectors typically prepared and provided by tModelEncoder.

It generates a binary classification model out of this analysis and writes this model in memory or in a file system supported by this component, such as HDFS or S3.

In local mode, Apache Spark 2.4 and later versions are supported.

For more technologies supported by Talend, see Talend components.

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