Hello, I would like to use the StochasticOutlierSelection algorithm for anomaly detection in a DataSet in java but the problem the doc is only in scala.
In java doing : StochasticOutlierSelection stochasticOutliers= new StochasticOutlierSelection(); the "tranform" operation of this algorithm take three parameters : training dataSet, ParameterMap and TransformOperationDataSet on java but in scala doc take one parameters https://ci.apache.org/projects/flink/flink-docs-release-1.7/dev/libs/ml/sos.html#parameters . It's the same case for other algorithms like KNN un scala take only training dataset un scala but un java takes three parameters ! My question is that i do not know what represent ParameterMap and TransformOperationDataSet and how i initialize them and in an optimised way fr my model? Do you have dôme exemple for flink ml un java please ? Thank you in advance ! Best, Anissa MOUSSAOUI -- <http://www.dcbrain.com/> <https://twitter.com/dcbrain_feed?lang=fr> <https://www.linkedin.com/company/dcbrain> <https://www.youtube.com/channel/UCSJrWPBLQ58fHPN8lP_SEGw> Pensez à la planète, imprimer ce papier que si nécessaire
