Open issues

Integration Testing for different variation of Spark
SW-179
Add support for Spark Dynamic Allocation
SW-556
Test Sparkling Water on Standalone Cluster
SW-106
Sparkling shell: newly created classes are not visible by remote nodes
SW-36
bin/build-kubernetes-images.sh should get spark version from $SPARK_HOME directory
SW-2143
Remove deprecated model serialization support
SW-2140
Be able to represent data in H2OFrame
SW-2137
Remove deprecated JoinSupport
SW-2136
Deprecate JoinSupport in water.support package and make it part of ai.h2o.sparkling.H2OFrame
SW-2135
Remove deprecated H2OFrameSupport
SW-2134
Use node options intead of client options in case of local mode, internal backend( remove deprecation introduced by SW-2103)
SW-2129
Remove deprecated allStringColumnsToCategorical
SW-2128
Remove Symlink "jars" -> "assembly/build/libs" from SW Zip Archive
SW-2121
Enable H2O to Connect to Hive
SW-2120
Deprecate and Disable allStringColumnsToCategorical Option
SW-2118
Ensure all core unit & integtTets tests are run without client
SW-2107
In Spark local mode in internal backend, use node related properties instead of the client ones
SW-2104
In Spark local mode in internal backend, notify user that from now on, the node related properties should be setup, instead the client related ones
SW-2103
Remove deprecated client related configuration in R and Python
SW-2102
Deprecate client related configuration in Python and R
SW-2101
Merge internal & external testing pipelines together
SW-2100
Switch the option from SW-2098 to do not start client by default
SW-2099
Add support to import hive table over rest in scala
SW-2091
Enable to set log level via rest API
SW-2090
Remove deprecated MetricsSupport
SW-2088
Remove deprecated DeepLearningSupport and GBMSupport
SW-2085
Remove deprecated hex.ModelUtils
SW-2083
Remove Implicit Switch to External Backend when H2OConf.setH2OCluster is Called
SW-2074
Verify that training frame has all columns constants using Spark instead of H2O error
SW-2062
Introduce method asSparkFrame on H2OContext.scala and deprecate asDataFrame
SW-2044
Add H2O Word2vec to Algo API
SW-2031
Add H2O PCA to Algo API
SW-2030
Add H2O GLRM to Algo API
SW-2029
Experiment with auto cluster start on Kubernetes
SW-2019
Experiment with sending full chunks to H2O in spark in external backend
SW-2001
Run all tests on local-cluster in nightly jobs
SW-1997
Remove JavaH2OContext
SW-1993
Deprecate JavaH2OContext
SW-1992
asH2OFrame does not work on dataset with primitive values
SW-1991
java.lang.Long cannot be cast to org.apache.spark.sql.Row from PySparkling
SW-1980
Remove deprecated method H2OContext.getOrCreate with sparkSession or SparkContext argument
SW-1971
Support for Spark pipelines in RSparkling
SW-1926
Avoid multiple reading of gradle.properties in our jenkins pipeline, instead parse into map once
SW-1909
Create similar test to SW-1752 for method asSparkFrame
SW-1907
Consider integration LightGBM from https://github.com/Azure/mmlspark
SW-1905
Expose Sparkling Water Algo API in RSparkling
SW-1898
Automatically document Sparkling Water Algo API
SW-1847
Sparkling water hangs on asH2OFrame
SW-1834
Change Spark DataFrame to H2OFrame Conversion to Implicitly Convert String Columns to Categoricals
SW-1779
MOJO2: Expose option to have "strict" data mode in MOJOFrame creation
SW-1778
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