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author | Yanbo Liang <ybliang8@gmail.com> | 2015-11-04 08:28:33 -0800 |
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committer | Xiangrui Meng <meng@databricks.com> | 2015-11-04 08:28:33 -0800 |
commit | e328b69c31821e4b27673d7ef6182ab3b7a05ca8 (patch) | |
tree | 7bd0416235fa72fca7097accb6c0a7a6019f80e5 /project | |
parent | c09e5139874fb3626e005c8240cca5308b902ef3 (diff) | |
download | spark-e328b69c31821e4b27673d7ef6182ab3b7a05ca8.tar.gz spark-e328b69c31821e4b27673d7ef6182ab3b7a05ca8.tar.bz2 spark-e328b69c31821e4b27673d7ef6182ab3b7a05ca8.zip |
[SPARK-9492][ML][R] LogisticRegression in R should provide model statistics
Like ml ```LinearRegression```, ```LogisticRegression``` should provide a training summary including feature names and their coefficients.
Author: Yanbo Liang <ybliang8@gmail.com>
Closes #9303 from yanboliang/spark-9492.
Diffstat (limited to 'project')
-rw-r--r-- | project/MimaExcludes.scala | 4 |
1 files changed, 3 insertions, 1 deletions
diff --git a/project/MimaExcludes.scala b/project/MimaExcludes.scala index ec0e44b7f2..eeef96c378 100644 --- a/project/MimaExcludes.scala +++ b/project/MimaExcludes.scala @@ -59,7 +59,9 @@ object MimaExcludes { ProblemFilters.exclude[MissingMethodProblem]( "org.apache.spark.ml.classification.LogisticAggregator.add"), ProblemFilters.exclude[MissingMethodProblem]( - "org.apache.spark.ml.classification.LogisticAggregator.count") + "org.apache.spark.ml.classification.LogisticAggregator.count"), + ProblemFilters.exclude[MissingMethodProblem]( + "org.apache.spark.ml.classification.LogisticRegressionSummary.featuresCol") ) ++ Seq( // SPARK-10381 Fix types / units in private AskPermissionToCommitOutput RPC message. // This class is marked as `private` but MiMa still seems to be confused by the change. |