Predicts which class an element belongs to, based on the classifier model generated by tSVMModel.
tClassifySVM uses a given SVM classifier model to analyze datasets incoming from its preceding component in order to classify the elements in the datasets.
In local mode, Apache Spark 2.4 and later versions are supported.
For more technologies supported by Talend, see Talend components.
Depending on the Talend product you are using, this component can be used in one, some or all of the following Job frameworks:
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Spark Batch: see tClassifySVM properties for Apache Spark Batch.
The component in this framework is available in all Talend Platform products with Big Data and in Talend Data Fabric.
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Spark Streaming: see tClassifySVM properties for Apache Spark Streaming.
This component is available in Talend Real Time Big Data Platform and Talend Data Fabric.