Current with delegation we have the following restrictions with APL
Cases when model training is not delegated to APL:
1) Will the same restrictions apply to delegation with Native Spark as well . ?
2) Why would a cutting strategy affect delegation ....if I would want to manually suggest a cutting strategy (70% Training 20% Validation 10% Testing)
3) If I suggest a manual cutting strategy will all the data be replicated to the PA server ?