Hi team,
I am trying to model a GMM model to find probability distribution of input features and finally mark them as anomalous or not.
I have run the GMM PAL and got back in return the probability and the model table as per my training set. I want to understand, now which is the best PAL function that we can use to predict probability value on each new value of parameter on GMM predicted model.
SAP documentation has no information about it.
Ex: K-means PAL function is used to train a kmeans model and CREATEDT , PREDICTWITHDT functions are used to predict kmeans classification for new values but I am not sure if we can choose the same for GMM as well, since we need probability value here and not only the cluster ?
Thanks,
Hasan
