!pip install h2o_pysparkling_3.5 from pysparkling import H2OConf,H2OContext conf = H2OConf().set(‘spark.dynamicAllocation.enabled’, False) hc = H2OContext.getOrCreate(conf) I am getting the below error IllegalArgumentException: Unsupported argument: (spark.speculation,true) I tried spark.conf.set(“spark.speculation”, “false”), But the below error came for this [CANNOT_MODIFY_CONFIG] Cannot modify the value of the Spark config: “spark.speculation”. python machine-learning pyspark databricks h2o