speedrf on iris, even with 40 trees, random effects mean train, then predict on train data, can still get 1 wrong
(normally it's 0 wrong). affect error rate on predict.
change the netstat in h2o_os_util to not use p
increase timeout on covtype parse for test_GLM2_poisson_1.py (busy systems)
PUB-993: Properly direct DL grid keys to GridSearch (was redirecting to DLModelView)
PUB-474 drop rows with NAs in the result
increase timeout for busy system.
get rid of unnecessary browser stuff in test_GLM2_tnc3_10.py
smaller # of loop iterations
a little clean up
re-enabled known failing cases
testdir_multi_jvm/test_ddply_plot2.py fails with
[2014-08-24 00:35:15.089058] exec_query parameters: {'str': 'a1 = ddply(r.hex, c(1,2), func1)'}
[2014-08-24 00:35:15.089151] 12:35:20.798 FJ-119-13 ERRR WATER: Missing vector #0 (C1) during Frame fetch: $04ff0b268d63ffffffff5b18b8585d38efa76247b464e6$X6C
[2014-08-24 00:35:37.281899] +                                  java.util.concurrent.ExecutionException: java.lang.NullPointerException
increase timeout
apparently too slow to GLM due to # of categoricals
a hacky way to save sandbox stuff as unique per-test artifacts for my local jenkins runs
increase timeouts for loaded system
maybe this needed to say bash?
use ports from the cfg
allow 35% tolerance
saw this in jenkins
Scored classification error of 0.0352 is not within 20.0 % relative error of 0.046
the single_jvm version had a larger tolerance than 20%?
make the test names consistent inside
try a different psutil method for doing the terminate/wait/kill/wait sequence if h2o was still there after shutdown
trying a slightly different terminate/wait/kill/wait psutil method after h2o shutdown
don't need these echos
add a timeoutSecs param to LogAndEcho.json request and make it default larger.
Fix memory leak.