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| author | Xiangrui Meng <meng@databricks.com> | 2015-02-04 23:03:47 -0800 |
|---|---|---|
| committer | Xiangrui Meng <meng@databricks.com> | 2015-02-04 23:03:47 -0800 |
| commit | db34690466d67f9c8ac6a145fddb5f7ea30a8d8d (patch) | |
| tree | 1646d1f386634a605a7403667aa653ec9ed41f69 /mllib/src/test/java/org | |
| parent | 975bcef467b35586e5224171071355409f451d2d (diff) | |
| download | spark-db34690466d67f9c8ac6a145fddb5f7ea30a8d8d.tar.gz spark-db34690466d67f9c8ac6a145fddb5f7ea30a8d8d.tar.bz2 spark-db34690466d67f9c8ac6a145fddb5f7ea30a8d8d.zip | |
[SPARK-5599] Check MLlib public APIs for 1.3
There are no break changes (against 1.2) in this PR. I hide the PythonMLLibAPI, which is only called by Py4J, and renamed `SparseMatrix.diag` to `SparseMatrix.spdiag`. All other changes are documentation and annotations. The `Experimental` tag is removed from `ALS.setAlpha` and `Rating`. One issue not addressed in this PR is the `setCheckpointDir` in `LDA` (https://issues.apache.org/jira/browse/SPARK-5604).
CC: srowen jkbradley
Author: Xiangrui Meng <meng@databricks.com>
Closes #4377 from mengxr/SPARK-5599 and squashes the following commits:
17975dc [Xiangrui Meng] fix tests
4487f20 [Xiangrui Meng] remove experimental tag from each stat method because Statistics is experimental already
3cd969a [Xiangrui Meng] remove freeman (sorry~) from StreamLA public doc
55900f5 [Xiangrui Meng] make IR experimental and update its doc
9b8eed3 [Xiangrui Meng] graduate Rating and setAlpha in ALS
b854d28 [Xiangrui Meng] correct iid doc in RandomRDDs
27f5bdd [Xiangrui Meng] update linalg docs and some new method signatures
371721b [Xiangrui Meng] mark fpg as experimental and update its doc
8aca7ee [Xiangrui Meng] change SLR to experimental and update the doc
ebbb2e9 [Xiangrui Meng] mark PIC experimental and update the doc
7830d3b [Xiangrui Meng] mark GMM experimental
a378496 [Xiangrui Meng] use the correct subscript syntax in PIC
c65c424 [Xiangrui Meng] update LDAModel doc
a213b0c [Xiangrui Meng] update GMM constructor
3993054 [Xiangrui Meng] hide algorithm in SLR
ad6b9ce [Xiangrui Meng] Revert "make ClassificatinModel.predict(JavaRDD) return JavaDoubleRDD"
0054684 [Xiangrui Meng] add doc to LRModel's constructor
a89763b [Xiangrui Meng] make ClassificatinModel.predict(JavaRDD) return JavaDoubleRDD
7c0946c [Xiangrui Meng] hide PythonMLLibAPI
Diffstat (limited to 'mllib/src/test/java/org')
| -rw-r--r-- | mllib/src/test/java/org/apache/spark/mllib/linalg/JavaMatricesSuite.java | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/mllib/src/test/java/org/apache/spark/mllib/linalg/JavaMatricesSuite.java b/mllib/src/test/java/org/apache/spark/mllib/linalg/JavaMatricesSuite.java index 704d484d0b..3349c50224 100644 --- a/mllib/src/test/java/org/apache/spark/mllib/linalg/JavaMatricesSuite.java +++ b/mllib/src/test/java/org/apache/spark/mllib/linalg/JavaMatricesSuite.java @@ -71,8 +71,8 @@ public class JavaMatricesSuite implements Serializable { Matrix sm = Matrices.diag(sv); DenseMatrix d = DenseMatrix.diag(v); DenseMatrix sd = DenseMatrix.diag(sv); - SparseMatrix s = SparseMatrix.diag(v); - SparseMatrix ss = SparseMatrix.diag(sv); + SparseMatrix s = SparseMatrix.spdiag(v); + SparseMatrix ss = SparseMatrix.spdiag(sv); assertArrayEquals(m.toArray(), sm.toArray(), 0.0); assertArrayEquals(d.toArray(), sm.toArray(), 0.0); |