src/test/scripts/functions/paramserv/paramserv-spark-agg-service-failed.dml

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e1 = matrix(1, rows=100, cols=10)
modelList = list(e1)
X = matrix(1, rows=200, cols=30)
Y = matrix(2, rows=200, cols=1)
X_val = matrix(3, rows=200, cols=30)
Y_val = matrix(4, rows=200, cols=1)

gradients = function(matrix[double] features,
                     matrix[double] labels,
                     list[unknown] hyperparams,
                     list[unknown] model)
            return (list[unknown] gradients) {
  gradients = model
}

aggregation = function(list[unknown] model,
                       list[unknown] gradients,
                       list[unknown] hyperparams)
              return (list[unknown] modelResult) {
  modelResult = model
  print(toString(as.matrix(gradients["agg_service_err"])))
}

e2 = matrix(2, rows=100, cols=10)
params = list(e2)

# Use paramserv function
modelList2 = paramserv(model=modelList, features=X, labels=Y, val_features=X_val, val_labels=Y_val, upd="gradients", agg="aggregation", mode="REMOTE_SPARK", utype="BSP", epochs=10, hyperparams=params, k=1)

print(toString(as.matrix(modelList2[1])))