PSVM giving NaNs for some metrics

[exalate-issue-sync]

This issue was found in R with binary classification, but should also be checked in Python too:

{code:r}library(h2o)
h2o.init()
train <- h2o.importFile("https://s3.amazonaws.com/erin-data/higgs/higgs_train_10k.csv")
test <- h2o.importFile("https://s3.amazonaws.com/erin-data/higgs/higgs_test_5k.csv")
y <- "response"
x <- setdiff(names(train), y)

train[,y] <- as.factor(train[,y])
test[,y] <- as.factor(test[,y])
psvm <- h2o.psvm(x = x, y = y, training_frame = train)
h2o.performance(psvm, test){code}

Gives NaNs:

H2OBinomialMetrics: psvm
MSE: 0.43
RMSE: 0.6557439
LogLoss: NaN
Mean Per-Class Error: 0.4269508
AUC: NaN
AUCPR: NaN
Gini: NaN

[h2o-ops]

JIRA Issue Migration Info

Jira Issue: PUBDEV-7314
Assignee: Michal Kurka
Reporter: Erin LeDell
State: Open
Fix Version: Backlog
Attachments: N/A
Development PRs: Available

Linked PRs from JIRA

#4341