All, Ran into one strange issue. If I initialize a h2o context and start it (NOT using it anywhere) , the count action on spark data frame would result in an error. The same count action on the spark data frame would work fine without h20 context not being initialized.
hc = H2OContext(sc).start() It fails in py4j/protocol.py at this function get_return_value. Has anyone out there played with Sparkling water faced any issues with H2O + Spark on Cloudera? Thanks, RK -- Collective[i] dramatically improves sales and marketing performance using technology, applications and a revolutionary network designed to provide next generation analytics and decision-support directly to business users. Our goal is to maximize human potential and minimize mistakes. In most cases, the results are astounding. We cannot, however, stop emails from sometimes being sent to the wrong person. If you are not the intended recipient, please notify us by replying to this email's sender and deleting it (and any attachments) permanently from your system. If you are, please respect the confidentiality of this communication's contents.
