I was trying to run an automl model on a linux server with 32 GB RAM using h2o in R on a data set having 5 million records and 70 features.
Here's a code that I was trying to run:
aml <- h2o.automl(y = y, x = x, training_frame = train, seed = 123)
I got this error:
|==== | 8%Error in .h2o.doSafeREST(h2oRestApiVersion = h2oRestApiVersion, urlSuffix = page, : Unexpected CURL error: Recv failure: Connection reset by peerError in .h2o.doSafeREST(h2oRestApiVersion = h2oRestApiVersion, urlSuffix = urlSuffix, : Unexpected CURL error: Failed connect to localhost:54321; Connection refused
And, then after restarting the R session and doing all the clean up when I tried to initialize h2o using:
h2o.init()
It gave me an error:
H2O is not running yet, starting it now...Error in system(paste(which, shQuote(names[i])), intern = TRUE, ignore.stderr = TRUE) : cannot popen '/usr/bin/which 'java' 2>/dev/null', probable reason 'Cannot allocate memory'
Does anyone know how to fix it. I couldn't find any solutions online yet.
EDIT 1
By restarting the server; h2o got was getting initialized with h2o.init. And, by using keep_cross_validation_models = F in h2o.automl; model generation got completed to 100%.
But, I started getting this new error after h2o.automl progress bar reached 100%.
aml <- h2o.automl(y = y, x = x, training_frame = train, keep_cross_validation_models = F, seed = 123)
|======================================================| 100%ERROR: Unexpected HTTP Status code: 500 Server Error (url = http://localhost:54321/3/Jobs/$03017f00000132d4ffffffff$_8d3c6f4c4fd73944d1ce4624042d44a9) Error: parse error: premature EOF (right here) ------^
EDIT 2:
The problem got solved by rebooting the server and initializing h2o by adding max_mem_size = "12g" option.