[2/2] spark git commit: [SPARK-7159][ML] Add multiclass logistic regression to Spark ML

[SPARK-7159][ML] Add multiclass logistic regression to Spark ML ## What changes were proposed in this pull request? This patch adds a new estimator/transformer `MultinomialLogisticRegression` to spark ML. JIRA: [SPARK-7159](https://issues.apache.org/jira/browse/SPARK-7159) ## How was this

[1/2] spark git commit: [SPARK-7159][ML] Add multiclass logistic regression to Spark ML

Repository: spark Updated Branches: refs/heads/master b482c09fa -> 287bea130 http://git-wip-us.apache.org/repos/asf/spark/blob/287bea13/mllib/src/test/scala/org/apache/spark/ml/classification/MultinomialLogisticRegressionSuite.scala

spark git commit: HOTFIX: compilation broken due to protected ctor.

Repository: spark Updated Branches: refs/heads/branch-2.0 c180d637a -> 05b180faa HOTFIX: compilation broken due to protected ctor. (cherry picked from commit b482c09fa22c5762a355f95820e4ba3e2517fb77) Signed-off-by: Reynold Xin Project:

spark git commit: HOTFIX: compilation broken due to protected ctor.

Repository: spark Updated Branches: refs/heads/master f5472dda5 -> b482c09fa HOTFIX: compilation broken due to protected ctor. Project: http://git-wip-us.apache.org/repos/asf/spark/repo Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/b482c09f Tree:

spark git commit: [SPARK-16947][SQL] Support type coercion and foldable expression for inline tables

Repository: spark Updated Branches: refs/heads/branch-2.0 ea684b69c -> c180d637a [SPARK-16947][SQL] Support type coercion and foldable expression for inline tables This patch improves inline table support with the following: 1. Support type coercion. 2. Support using foldable expressions.

spark git commit: [SPARK-17069] Expose spark.range() as table-valued function in SQL

Repository: spark Updated Branches: refs/heads/branch-2.0 176af17a7 -> ea684b69c [SPARK-17069] Expose spark.range() as table-valued function in SQL This adds analyzer rules for resolving table-valued functions, and adds one builtin implementation for range(). The arguments for range() are

spark git commit: [SPARK-16947][SQL] Support type coercion and foldable expression for inline tables

Repository: spark Updated Branches: refs/heads/master b72bb62d4 -> f5472dda5 [SPARK-16947][SQL] Support type coercion and foldable expression for inline tables ## What changes were proposed in this pull request? This patch improves inline table support with the following: 1. Support type

spark git commit: [MINOR][SPARKR] R API documentation for "coltypes" is confusing

Repository: spark Updated Branches: refs/heads/branch-2.0 ec5f157a3 -> 176af17a7 [MINOR][SPARKR] R API documentation for "coltypes" is confusing ## What changes were proposed in this pull request? R API documentation for "coltypes" is confusing, found when working on another ticket.

spark git commit: [SPARK-16447][ML][SPARKR] LDA wrapper in SparkR

Repository: spark Updated Branches: refs/heads/master 68f5087d2 -> b72bb62d4 [SPARK-16447][ML][SPARKR] LDA wrapper in SparkR ## What changes were proposed in this pull request? Add LDA Wrapper in SparkR with the following interfaces: - spark.lda(data, ...) - spark.posterior(object,

spark git commit: [SPARK-17117][SQL] 1 / NULL should not fail analysis

Repository: spark Updated Branches: refs/heads/master 412dba63b -> 68f5087d2 [SPARK-17117][SQL] 1 / NULL should not fail analysis ## What changes were proposed in this pull request? This patch fixes the problem described in SPARK-17117, i.e. "SELECT 1 / NULL" throws an analysis exception:

spark git commit: [SPARK-17117][SQL] 1 / NULL should not fail analysis

Repository: spark Updated Branches: refs/heads/branch-2.0 5735b8bd7 -> ec5f157a3 [SPARK-17117][SQL] 1 / NULL should not fail analysis ## What changes were proposed in this pull request? This patch fixes the problem described in SPARK-17117, i.e. "SELECT 1 / NULL" throws an analysis

spark git commit: [SPARK-17069] Expose spark.range() as table-valued function in SQL

Repository: spark Updated Branches: refs/heads/master b81421afb -> 412dba63b [SPARK-17069] Expose spark.range() as table-valued function in SQL ## What changes were proposed in this pull request? This adds analyzer rules for resolving table-valued functions, and adds one builtin

spark git commit: [SPARK-17087][MESOS] Documentation for Making Spark on Mesos honor port restrictions

Repository: spark Updated Branches: refs/heads/master e82dbe600 -> b81421afb [SPARK-17087][MESOS] Documentation for Making Spark on Mesos honor port restrictions ## What changes were proposed in this pull request? - adds documentation for https://issues.apache.org/jira/browse/SPARK-11714

spark git commit: [SPARK-17107][SQL] Remove redundant pushdown rule for Union

Repository: spark Updated Branches: refs/heads/master 1748f8241 -> e82dbe600 [SPARK-17107][SQL] Remove redundant pushdown rule for Union ## What changes were proposed in this pull request? The `Optimizer` rules `PushThroughSetOperations` and `PushDownPredicate` have a redundant rule to push

spark git commit: [SPARK-16391][SQL] Support partial aggregation for reduceGroups

Repository: spark Updated Branches: refs/heads/branch-2.0 91aa53239 -> 5735b8bd7 [SPARK-16391][SQL] Support partial aggregation for reduceGroups ## What changes were proposed in this pull request? This patch introduces a new private ReduceAggregator interface that is a subclass of

spark git commit: [SPARK-16391][SQL] Support partial aggregation for reduceGroups

Repository: spark Updated Branches: refs/heads/master 3e6ef2e8a -> 1748f8241 [SPARK-16391][SQL] Support partial aggregation for reduceGroups ## What changes were proposed in this pull request? This patch introduces a new private ReduceAggregator interface that is a subclass of Aggregator.

spark git commit: [SPARK-17034][SQL] Minor code cleanup for UnresolvedOrdinal

Repository: spark Updated Branches: refs/heads/master 10204b9d2 -> 3e6ef2e8a [SPARK-17034][SQL] Minor code cleanup for UnresolvedOrdinal ## What changes were proposed in this pull request? I was looking at the code for UnresolvedOrdinal and made a few small changes to make it slightly more