SparkMLLib Toolkit v1.3.0 Release
New:
- The toolkit not longer depend on an installation of Apache Spark and does not need a SPARK_HOME environment variable,
- Correct streams studio classpath settings in toolkit project and sample
- Use studio settings in sample makefile if build from studio
- Update description
- Remove compiler warnings
- Describe spark master parameter
- Add framework tests
- Add test and release targets to main build.xml
- New parameter paraneter getProbabilities in operator SparkNaiveBayes
streamsx.sparkMLLib-1.3.0-b0c3923-20191121-1610.tgz MD5: a3e25e1e9893f6cb812e4ea4cc180c16
streamsx.sparkMLLib-1.3.0-b0c3923-20191121-1610.tgz sha1: 39bf40e9c6a35918f3f28af75194483981a251c0