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Support Custom Metric Function from R
PUBDEV-7039
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Verify immutability logic is not working
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We can create categorical vector from vector of numbers but we end up with cardinality = 0
PUBDEV-5940
Ability to interact directly with HCatalog/Hive/Sentry for Data Ingestion
PUBDEV-5644
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PUBDEV-5482
Support for Particle Swarm Optimization for hyper-parameter tuning
PUBDEV-5480
Move ModelMetricsListSchemaV3 to water.api.schemas3
PUBDEV-5152
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PUBDEV-5051
GBM early stopping is computed on training set logloss
PUBDEV-5041
H2OFrame in Python is adding additional duplicate rows to the Pandas DataFrame
PUBDEV-4806
Loading 3-line svmlight file appears to put h2o in infinite loop
PUBDEV-4798
H2O Build fails on Windows and Clean Ubuntu Linux
PUBDEV-4031
Documentation of Java API
PUBDEV-3997
Expose munging commands to Java api layer
PUBDEV-3996
Expose one-hot encoding to H2OFrame operations
PUBDEV-3955
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rectangular assignment from a frame using boolean condition
PUBDEV-3776
grid search results in deep learning
PUBDEV-3708
Grid search overwrite_with_best_model false
PUBDEV-3707
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PUBDEV-3674
H2O APIs should support JSON body POST
PUBDEV-3383
Two-stage prcomp cannot be aborted
PUBDEV-3323
Memory leak in H2O (standalone cluster)
PUBDEV-3203
Merge needs public Java API
PUBDEV-2992
H2O stops accessing HDFS after Kerberos ticket is renewed
PUBDEV-2533
issue 1 of 2118

Support Custom Metric Function from R

Description

Currently, custom metric functions can be provided via python client only. Please allow R functions or R6 Classes to do the same.

Environment

None

Status

Assignee

New H2O Bugs

Fix versions

None

Reporter

Srikanth K S

Support ticket URL

None

Labels

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Release Priority

None

Affected Spark version

None

Customer Request Type

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Task progress

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CustomerVisible

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Components

Priority

Blocker
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