# tSVMModel

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](https://help.qlik.com/talend/r/en-US/7.3/components/machine-learning).

### In this section

* [tSVMModel properties for Apache Spark Batch](https://help.qlik.com/talend/en-US/components/7.3/machine-learning/tsvmmodel-properties-for-apache-spark-batch)