H2O Segmented Model Databricks/Sparkling Water Integration

Description

Currently, h2o.train_segments only works with local versions of h2o. Can we add integration into databricks/sparkling water?

library(h2o)
h2o_context(sc)

iris_hf <- as.h2o(iris)
models <- h2o.train_segments(algorithm = "gbm",
segment_columns = "Species",
segment_models_id = "models_by_species",
x = c(1:3),
y = 4,
training_frame = iris_hf,
ntrees = 5,
max_depth = 4)

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

ERROR MESSAGE:

POST /3/SegmentModelsBuilders/gbm not found

Assignee

Unassigned

Fix versions

None

Reporter

Sabah Sadiq

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Affected Spark version

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Priority

Major
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