I am running H2O AutoML on the same date set with the same seed on the same laptop multiple times and getting different predictions from time to time. I wonder if it is possible to get the same numbers on every run. Here is my code:

import h2o
h2o.init()
aml = h2o.automl.H2OAutoML(max_models = 25,
 balance_classes = False, seed = 1)
aml.train(predictors, response, training_frame = h2o_df_train)
aml.leader.predict(h2o_df_test)

It looks like it is possible for GBM, but I wonder if it is possible for whole AutoML run?