spark-instrumented-optimizer/R/pkg/DESCRIPTION
hyukjinkwon 9a145fd796 [MINOR] Bump SparkR and PySpark version to 2.3.0.
## What changes were proposed in this pull request?

#17753 bumps master branch version to 2.3.0-SNAPSHOT, but it seems SparkR and PySpark version were omitted.

ditto of https://github.com/apache/spark/pull/16488 / https://github.com/apache/spark/pull/17523

## How was this patch tested?

N/A

Author: hyukjinkwon <gurwls223@gmail.com>

Closes #18341 from HyukjinKwon/r-version.
2017-06-19 11:13:03 +01:00

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Package: SparkR
Type: Package
Version: 2.3.0
Title: R Frontend for Apache Spark
Description: The SparkR package provides an R Frontend for Apache Spark.
Authors@R: c(person("Shivaram", "Venkataraman", role = c("aut", "cre"),
email = "shivaram@cs.berkeley.edu"),
person("Xiangrui", "Meng", role = "aut",
email = "meng@databricks.com"),
person("Felix", "Cheung", role = "aut",
email = "felixcheung@apache.org"),
person(family = "The Apache Software Foundation", role = c("aut", "cph")))
License: Apache License (== 2.0)
URL: http://www.apache.org/ http://spark.apache.org/
BugReports: http://spark.apache.org/contributing.html
Depends:
R (>= 3.0),
methods
Suggests:
knitr,
rmarkdown,
testthat,
e1071,
survival
Collate:
'schema.R'
'generics.R'
'jobj.R'
'column.R'
'group.R'
'RDD.R'
'pairRDD.R'
'DataFrame.R'
'SQLContext.R'
'WindowSpec.R'
'backend.R'
'broadcast.R'
'catalog.R'
'client.R'
'context.R'
'deserialize.R'
'functions.R'
'install.R'
'jvm.R'
'mllib_classification.R'
'mllib_clustering.R'
'mllib_fpm.R'
'mllib_recommendation.R'
'mllib_regression.R'
'mllib_stat.R'
'mllib_tree.R'
'mllib_utils.R'
'serialize.R'
'sparkR.R'
'stats.R'
'streaming.R'
'types.R'
'utils.R'
'window.R'
RoxygenNote: 5.0.1
VignetteBuilder: knitr