Issues around using h2o.train_segments

Description

There are multiple issues here :

1) I am trying to use the below code to create multiple models based on a column value ("MODEL_ID") , below is the code :

library(h2o)
h2o.init()
mrd_trainh2o <- as.h2o(mrd_log)
models <- h2o.train_segments(algorithm = "glm",
segment_columns = "MODEL_ID",
x = xVars, y = get("targetVar"),
training_frame = mrd_trainh2o)

It gives me the below error ,

Error in .h2o.doSafeREST(h2oRestApiVersion = h2oRestApiVersion, urlSuffix = page, : Error in .h2o.doSafeREST(h2oRestApiVersion = h2oRestApiVersion, urlSuffix = page, :

ERROR MESSAGE:

Name lookup of 'RTMP_sid_8822_11' failed

What does this mean , how do I look where is RTMP_sid_8822_11 , and how to solve it ?

2) Can I run h2o.trainsegments on multiple worker cores ? h2o.init causes it to run for single driver core , which would be slow for big data ?

Assignee

New H2O Bugs

Fix versions

None

Reporter

priyal.doshi

Support ticket URL

None

Labels

None

Affected Spark version

None

Customer Request Type

None

Task progress

None

CustomerVisible

No

Components

Priority

Major
Configure