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Posted to commits@mahout.apache.org by ap...@apache.org on 2016/04/11 01:13:53 UTC
[1/2] mahout git commit: MAHOUT-1818 workaround and test cleanup for
Flink release closes apache/mahout#218
Repository: mahout
Updated Branches:
refs/heads/flink-binding 4856d5fdf -> 71609ad61
MAHOUT-1818 workaround and test cleanup for Flink release closes apache/mahout#218
Project: http://git-wip-us.apache.org/repos/asf/mahout/repo
Commit: http://git-wip-us.apache.org/repos/asf/mahout/commit/472438bc
Tree: http://git-wip-us.apache.org/repos/asf/mahout/tree/472438bc
Diff: http://git-wip-us.apache.org/repos/asf/mahout/diff/472438bc
Branch: refs/heads/flink-binding
Commit: 472438bc83a51bcc08518e44daff4ec5f3bf81e9
Parents: 681d30e
Author: Andrew Palumbo <ap...@apache.org>
Authored: Sun Apr 10 19:10:44 2016 -0400
Committer: Andrew Palumbo <ap...@apache.org>
Committed: Sun Apr 10 19:11:31 2016 -0400
----------------------------------------------------------------------
.../flinkbindings/FailingTestsSuite.scala | 272 -------------------
.../DistributedDecompositionsSuite.scala | 31 ---
.../FlinkDistributedDecompositionsSuite.scala | 221 +++++++++++++++
3 files changed, 221 insertions(+), 303 deletions(-)
----------------------------------------------------------------------
http://git-wip-us.apache.org/repos/asf/mahout/blob/472438bc/flink/src/test/scala/org/apache/mahout/flinkbindings/FailingTestsSuite.scala
----------------------------------------------------------------------
diff --git a/flink/src/test/scala/org/apache/mahout/flinkbindings/FailingTestsSuite.scala b/flink/src/test/scala/org/apache/mahout/flinkbindings/FailingTestsSuite.scala
deleted file mode 100644
index 8186e2d..0000000
--- a/flink/src/test/scala/org/apache/mahout/flinkbindings/FailingTestsSuite.scala
+++ /dev/null
@@ -1,272 +0,0 @@
-/**
- * Licensed to the Apache Software Foundation (ASF) under one
- * or more contributor license agreements. See the NOTICE file
- * distributed with this work for additional information
- * regarding copyright ownership. The ASF licenses this file
- * to you under the Apache License, Version 2.0 (the
- * "License"); you may not use this file except in compliance
- * with the License. You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing,
- * software distributed under the License is distributed on an
- * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- * KIND, either express or implied. See the License for the
- * specific language governing permissions and limitations
- * under the License.
- */
-package org.apache.mahout.flinkbindings
-
-import org.apache.flink.api.common.functions.MapFunction
-import org.apache.flink.api.scala.DataSet
-import org.apache.flink.api.scala.hadoop.mapreduce.HadoopOutputFormat
-import org.apache.mahout.common.RandomUtils
-
-import scala.collection.immutable.List
-
-//import org.apache.flink.api.scala.hadoop.mapreduce.HadoopOutputFormat
-import org.apache.hadoop.io.IntWritable
-import org.apache.hadoop.mapreduce.Job
-import org.apache.hadoop.mapreduce.lib.output.{FileOutputFormat, SequenceFileOutputFormat}
-import org.apache.mahout.math.scalabindings._
-import org.apache.mahout.math._
-import org.apache.mahout.math.drm._
-import RLikeDrmOps._
-import RLikeOps._
-import math._
-
-import org.apache.mahout.math.decompositions._
-import org.scalatest.{FunSuite, Matchers}
-
-
-import scala.reflect.ClassTag
-import org.apache.flink.api.scala._
-
-
-
-class FailingTestsSuite extends FunSuite with DistributedFlinkSuite with Matchers {
-
-// // passing now
-// test("Simple DataSet to IntWritable") {
-// val path = TmpDir + "flinkOutput"
-//
-// implicit val typeInfo = createTypeInformation[(Int,Int)]
-// val ds = env.fromElements[(Int,Int)]((1,2),(3,4),(5,6),(7,8))
-// // val job = new JobConf
-//
-//
-// val writableDataset : DataSet[(IntWritable,IntWritable)] =
-// ds.map( tuple =>
-// (new IntWritable(tuple._1.asInstanceOf[Int]), new IntWritable(tuple._2.asInstanceOf[Int]))
-// )
-//
-// val job: Job = new Job()
-//
-// job.setOutputKeyClass(classOf[IntWritable])
-// job.setOutputValueClass(classOf[IntWritable])
-//
-// // setup sink for IntWritable
-// val sequenceFormat = new SequenceFileOutputFormat[IntWritable, IntWritable]
-// val hadoopOutput = new HadoopOutputFormat[IntWritable,IntWritable](sequenceFormat, job)
-// FileOutputFormat.setOutputPath(job, new org.apache.hadoop.fs.Path(path))
-//
-// writableDataset.output(hadoopOutput)
-//
-// env.execute(s"dfsWrite($path)")
-//
-// }
-
-
-// test("C = A + B, identically partitioned") {
-//
-// val inCoreA = dense((1, 2, 3), (3, 4, 5), (5, 6, 7))
-//
-// val A = drmParallelize(inCoreA, numPartitions = 2)
-//
-// // printf("A.nrow=%d.\n", A.rdd.count())
-//
-// // Create B which would be identically partitioned to A. mapBlock() by default will do the trick.
-// val B = A.mapBlock() {
-// case (keys, block) =>
-// val bBlock = block.like() := { (r, c, v) => util.Random.nextDouble()}
-// keys -> bBlock
-// }
-// // Prevent repeated computation non-determinism
-// // flink problem is here... checkpoint is not doing what it should
-// // ie. greate a physical plan w/o side effects
-// .checkpoint()
-//
-// val inCoreB = B.collect
-//
-// printf("A=\n%s\n", inCoreA)
-// printf("B=\n%s\n", inCoreB)
-//
-// val C = A + B
-//
-// val inCoreC = C.collect
-//
-// printf("C=\n%s\n", inCoreC)
-//
-// // Actual
-// val inCoreCControl = inCoreA + inCoreB
-//
-// (inCoreC - inCoreCControl).norm should be < 1E-10
-// }
-//// Passing now.
-// test("C = inCoreA %*%: B") {
-//
-// val inCoreA = dense((1, 2, 3), (3, 4, 5), (4, 5, 6), (5, 6, 7))
-// val inCoreB = dense((3, 5, 7, 10), (4, 6, 9, 10), (5, 6, 7, 7))
-//
-// val B = drmParallelize(inCoreB, numPartitions = 2)
-// val C = inCoreA %*%: B
-//
-// val inCoreC = C.collect
-// val inCoreCControl = inCoreA %*% inCoreB
-//
-// println(inCoreC)
-// (inCoreC - inCoreCControl).norm should be < 1E-10
-//
-// }
-
- test("dsqDist(X,Y)") {
- val m = 100
- val n = 300
- val d = 7
- val mxX = Matrices.symmetricUniformView(m, d, 12345).cloned -= 5
- val mxY = Matrices.symmetricUniformView(n, d, 1234).cloned += 10
- val (drmX, drmY) = (drmParallelize(mxX, 3), drmParallelize(mxY, 4))
-
- val mxDsq = dsqDist(drmX, drmY).collect
- val mxDsqControl = new DenseMatrix(m, n) := { (r, c, _) ⇒ (mxX(r, ::) - mxY(c, ::)) ^= 2 sum }
- (mxDsq - mxDsqControl).norm should be < 1e-7
- }
-
- test("dsqDist(X)") {
- val m = 100
- val d = 7
- val mxX = Matrices.symmetricUniformView(m, d, 12345).cloned -= 5
- val drmX = drmParallelize(mxX, 3)
-
- val mxDsq = dsqDist(drmX).collect
- val mxDsqControl = sqDist(drmX)
- (mxDsq - mxDsqControl).norm should be < 1e-7
- }
-
-//// passing now
-// test("DRM DFS i/o (local)") {
-//
-// val uploadPath = TmpDir + "UploadedDRM"
-//
-// val inCoreA = dense((1, 2, 3), (3, 4, 5))
-// val drmA = drmParallelize(inCoreA)
-//
-// drmA.dfsWrite(path = uploadPath)
-//
-// println(inCoreA)
-//
-// // Load back from hdfs
-// val drmB = drmDfsRead(path = uploadPath)
-//
-// // Make sure keys are correctly identified as ints
-// drmB.checkpoint(CacheHint.NONE).keyClassTag shouldBe ClassTag.Int
-//
-// // Collect back into in-core
-// val inCoreB = drmB.collect
-//
-// // Print out to see what it is we collected:
-// println(inCoreB)
-//
-// (inCoreA - inCoreB).norm should be < 1e-7
-// }
-
-
-
-// test("dspca") {
-//
-// val rnd = RandomUtils.getRandom
-//
-// // Number of points
-// val m = 500
-// // Length of actual spectrum
-// val spectrumLen = 40
-//
-// val spectrum = dvec((0 until spectrumLen).map(x => 300.0 * exp(-x) max 1e-3))
-// printf("spectrum:%s\n", spectrum)
-//
-// val (u, _) = qr(new SparseRowMatrix(m, spectrumLen) :=
-// ((r, c, v) => if (rnd.nextDouble() < 0.2) 0 else rnd.nextDouble() + 5.0))
-//
-// // PCA Rotation matrix -- should also be orthonormal.
-// val (tr, _) = qr(Matrices.symmetricUniformView(spectrumLen, spectrumLen, rnd.nextInt) - 10.0)
-//
-// val input = (u %*%: diagv(spectrum)) %*% tr.t
-// val drmInput = drmParallelize(m = input, numPartitions = 2)
-//
-// // Calculate just first 10 principal factors and reduce dimensionality.
-// // Since we assert just validity of the s-pca, not stochastic error, we bump p parameter to
-// // ensure to zero stochastic error and assert only functional correctness of the method's pca-
-// // specific additions.
-// val k = 10
-//
-// // Calculate just first 10 principal factors and reduce dimensionality.
-// var (drmPCA, _, s) = dspca(drmA = drmInput, k = 10, p = spectrumLen, q = 1)
-// // Un-normalized pca data:
-// drmPCA = drmPCA %*% diagv(s)
-//
-// val pca = drmPCA.checkpoint(CacheHint.NONE).collect
-//
-// // Of course, once we calculated the pca, the spectrum is going to be different since our originally
-// // generated input was not centered. So here, we'd just brute-solve pca to verify
-// val xi = input.colMeans()
-// for (r <- 0 until input.nrow) input(r, ::) -= xi
-// var (pcaControl, _, sControl) = svd(m = input)
-// pcaControl = (pcaControl %*%: diagv(sControl))(::, 0 until k)
-//
-// printf("pca:\n%s\n", pca(0 until 10, 0 until 10))
-// printf("pcaControl:\n%s\n", pcaControl(0 until 10, 0 until 10))
-//
-// (pca(0 until 10, 0 until 10).norm - pcaControl(0 until 10, 0 until 10).norm).abs should be < 1E-5
-//
-// }
-
- test("dals") {
-
- val rnd = RandomUtils.getRandom
-
- // Number of points
- val m = 500
- val n = 500
-
- // Length of actual spectrum
- val spectrumLen = 40
-
- // Create singluar values with decay
- val spectrum = dvec((0 until spectrumLen).map(x => 300.0 * exp(-x) max 1e-3))
- printf("spectrum:%s\n", spectrum)
-
- // Create A as an ideal input
- val inCoreA = (qr(Matrices.symmetricUniformView(m, spectrumLen, 1234))._1 %*%: diagv(spectrum)) %*%
- qr(Matrices.symmetricUniformView(n, spectrumLen, 2345))._1.t
- val drmA = drmParallelize(inCoreA, numPartitions = 2)
-
- // Decompose using ALS
- val (drmU, drmV, rmse) = dals(drmA = drmA, k = 20).toTuple
- val inCoreU = drmU.collect
- val inCoreV = drmV.collect
-
- val predict = inCoreU %*% inCoreV.t
-
- printf("Control block:\n%s\n", inCoreA(0 until 3, 0 until 3))
- printf("ALS factorized approximation block:\n%s\n", predict(0 until 3, 0 until 3))
-
- val err = (inCoreA - predict).norm
- printf("norm of residuals %f\n", err)
- printf("train iteration rmses: %s\n", rmse)
-
- err should be < 15e-2
-
- }
-
-}
\ No newline at end of file
http://git-wip-us.apache.org/repos/asf/mahout/blob/472438bc/flink/src/test/scala/org/apache/mahout/flinkbindings/standard/DistributedDecompositionsSuite.scala
----------------------------------------------------------------------
diff --git a/flink/src/test/scala/org/apache/mahout/flinkbindings/standard/DistributedDecompositionsSuite.scala b/flink/src/test/scala/org/apache/mahout/flinkbindings/standard/DistributedDecompositionsSuite.scala
deleted file mode 100644
index 031553e..0000000
--- a/flink/src/test/scala/org/apache/mahout/flinkbindings/standard/DistributedDecompositionsSuite.scala
+++ /dev/null
@@ -1,31 +0,0 @@
-/**
- * Licensed to the Apache Software Foundation (ASF) under one
- * or more contributor license agreements. See the NOTICE file
- * distributed with this work for additional information
- * regarding copyright ownership. The ASF licenses this file
- * to you under the Apache License, Version 2.0 (the
- * "License"); you may not use this file except in compliance
- * with the License. You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing,
- * software distributed under the License is distributed on an
- * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- * KIND, either express or implied. See the License for the
- * specific language governing permissions and limitations
- * under the License.
- */
-package org.apache.mahout.flinkbindings.standard
-
-import org.apache.mahout.flinkbindings._
-import org.apache.mahout.math.decompositions.DistributedDecompositionsSuiteBase
-import org.junit.runner.RunWith
-import org.scalatest.FunSuite
-import org.scalatest.junit.JUnitRunner
-
-@RunWith(classOf[JUnitRunner])
-class DistributedDecompositionsSuite extends FunSuite with DistributedFlinkSuite
- with DistributedDecompositionsSuiteBase {
-
-}
\ No newline at end of file
http://git-wip-us.apache.org/repos/asf/mahout/blob/472438bc/flink/src/test/scala/org/apache/mahout/flinkbindings/standard/FlinkDistributedDecompositionsSuite.scala
----------------------------------------------------------------------
diff --git a/flink/src/test/scala/org/apache/mahout/flinkbindings/standard/FlinkDistributedDecompositionsSuite.scala b/flink/src/test/scala/org/apache/mahout/flinkbindings/standard/FlinkDistributedDecompositionsSuite.scala
new file mode 100644
index 0000000..a1054af
--- /dev/null
+++ b/flink/src/test/scala/org/apache/mahout/flinkbindings/standard/FlinkDistributedDecompositionsSuite.scala
@@ -0,0 +1,221 @@
+/**
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied. See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+package org.apache.mahout.flinkbindings.standard
+
+import org.apache.mahout.common.RandomUtils
+import org.apache.mahout.flinkbindings._
+import org.apache.mahout.math.{Matrices, SparseRowMatrix}
+import org.apache.mahout.math.decompositions._
+import org.apache.mahout.math.drm.{CacheHint, _}
+import org.scalatest.{FunSuite, Matchers}
+import org.apache.mahout.math._
+import scalabindings._
+import RLikeOps._
+import RLikeDrmOps._
+
+import scala.math._
+
+// Exact copy of the DistributedDecompositionsSuiteBase trait with the exception of the
+// matrix size in the dals test which has been lowered to 350 x 350 from 500 x 500
+// due to some Flink serialization issues.
+
+class FlinkDistributedDecompositionsSuite extends FunSuite with DistributedFlinkSuite
+ with Matchers {this:FunSuite =>
+
+
+ test("thin distributed qr") {
+
+ val inCoreA = dense(
+ (1, 2, 3, 4),
+ (2, 3, 4, 5),
+ (3, -4, 5, 6),
+ (4, 5, 6, 7),
+ (8, 6, 7, 8)
+ )
+
+ val drmA = drmParallelize(inCoreA, numPartitions = 2)
+ val (drmQ, inCoreR) = dqrThin(drmA, checkRankDeficiency = false)
+
+ // Assert optimizer still knows Q and A are identically partitioned
+ drmQ.partitioningTag should equal(drmA.partitioningTag)
+
+ // drmQ.rdd.partitions.size should be(A.rdd.partitions.size)
+ //
+ // // Should also be zippable
+ // drmQ.rdd.zip(other = A.rdd)
+
+ val inCoreQ = drmQ.collect
+
+ printf("A=\n%s\n", inCoreA)
+ printf("Q=\n%s\n", inCoreQ)
+ printf("R=\n%s\n", inCoreR)
+
+ val (qControl, rControl) = qr(inCoreA)
+ printf("qControl=\n%s\n", qControl)
+ printf("rControl=\n%s\n", rControl)
+
+ // Validate with Cholesky
+ val ch = chol(inCoreA.t %*% inCoreA)
+ printf("A'A=\n%s\n", inCoreA.t %*% inCoreA)
+ printf("L:\n%s\n", ch.getL)
+
+ val rControl2 = (ch.getL cloned).t
+ val qControl2 = ch.solveRight(inCoreA)
+ printf("qControl2=\n%s\n", qControl2)
+ printf("rControl2=\n%s\n", rControl2)
+
+ // Householder approach seems to be a little bit more stable
+ (rControl - inCoreR).norm should be < 1E-5
+ (qControl - inCoreQ).norm should be < 1E-5
+
+ // Assert identicity with in-core Cholesky-based -- this should be tighter.
+ (rControl2 - inCoreR).norm should be < 1E-10
+ (qControl2 - inCoreQ).norm should be < 1E-10
+
+ // Assert orthogonality:
+ // (a) Q[,j] dot Q[,j] == 1.0 for all j
+ // (b) Q[,i] dot Q[,j] == 0.0 for all i != j
+ for (col <- 0 until inCoreQ.ncol)
+ ((inCoreQ(::, col) dot inCoreQ(::, col)) - 1.0).abs should be < 1e-10
+ for (col1 <- 0 until inCoreQ.ncol - 1; col2 <- col1 + 1 until inCoreQ.ncol)
+ (inCoreQ(::, col1) dot inCoreQ(::, col2)).abs should be < 1e-10
+
+
+ }
+
+ test("dssvd - the naive-est - q=0") {
+ dssvdNaive(q = 0)
+ }
+
+ test("ddsvd - naive - q=1") {
+ dssvdNaive(q = 1)
+ }
+
+ test("ddsvd - naive - q=2") {
+ dssvdNaive(q = 2)
+ }
+
+
+ def dssvdNaive(q: Int) {
+ val inCoreA = dense(
+ (1, 2, 3, 4),
+ (2, 3, 4, 5),
+ (3, -4, 5, 6),
+ (4, 5, 6, 7),
+ (8, 6, 7, 8)
+ )
+ val drmA = drmParallelize(inCoreA, numPartitions = 2)
+
+ val (drmU, drmV, s) = dssvd(drmA, k = 4, q = q)
+ val (inCoreU, inCoreV) = (drmU.collect, drmV.collect)
+
+ printf("U:\n%s\n", inCoreU)
+ printf("V:\n%s\n", inCoreV)
+ printf("Sigma:\n%s\n", s)
+
+ (inCoreA - (inCoreU %*%: diagv(s)) %*% inCoreV.t).norm should be < 1E-5
+ }
+
+ test("dspca") {
+
+ val rnd = RandomUtils.getRandom
+
+ // Number of points
+ val m = 500
+ // Length of actual spectrum
+ val spectrumLen = 40
+
+ val spectrum = dvec((0 until spectrumLen).map(x => 300.0 * exp(-x) max 1e-3))
+ printf("spectrum:%s\n", spectrum)
+
+ val (u, _) = qr(new SparseRowMatrix(m, spectrumLen) :=
+ ((r, c, v) => if (rnd.nextDouble() < 0.2) 0 else rnd.nextDouble() + 5.0))
+
+ // PCA Rotation matrix -- should also be orthonormal.
+ val (tr, _) = qr(Matrices.symmetricUniformView(spectrumLen, spectrumLen, rnd.nextInt) - 10.0)
+
+ val input = (u %*%: diagv(spectrum)) %*% tr.t
+ val drmInput = drmParallelize(m = input, numPartitions = 2)
+
+ // Calculate just first 10 principal factors and reduce dimensionality.
+ // Since we assert just validity of the s-pca, not stochastic error, we bump p parameter to
+ // ensure to zero stochastic error and assert only functional correctness of the method's pca-
+ // specific additions.
+ val k = 10
+
+ // Calculate just first 10 principal factors and reduce dimensionality.
+ var (drmPCA, _, s) = dspca(drmA = drmInput, k = 10, p = spectrumLen, q = 1)
+ // Un-normalized pca data:
+ drmPCA = drmPCA %*% diagv(s)
+
+ val pca = drmPCA.checkpoint(CacheHint.NONE).collect
+
+ // Of course, once we calculated the pca, the spectrum is going to be different since our originally
+ // generated input was not centered. So here, we'd just brute-solve pca to verify
+ val xi = input.colMeans()
+ for (r <- 0 until input.nrow) input(r, ::) -= xi
+ var (pcaControl, _, sControl) = svd(m = input)
+ pcaControl = (pcaControl %*%: diagv(sControl))(::, 0 until k)
+
+ printf("pca:\n%s\n", pca(0 until 10, 0 until 10))
+ printf("pcaControl:\n%s\n", pcaControl(0 until 10, 0 until 10))
+
+ (pca(0 until 10, 0 until 10).norm - pcaControl(0 until 10, 0 until 10).norm).abs should be < 1E-5
+
+ }
+
+ test("dals") {
+
+ val rnd = RandomUtils.getRandom
+
+ // Number of points
+ val m = 350
+ val n = 350
+
+ // Length of actual spectrum
+ val spectrumLen = 40
+
+ // Create singluar values with decay
+ val spectrum = dvec((0 until spectrumLen).map(x => 300.0 * exp(-x) max 1e-3))
+ printf("spectrum:%s\n", spectrum)
+
+ // Create A as an ideal input
+ val inCoreA = (qr(Matrices.symmetricUniformView(m, spectrumLen, 1234))._1 %*%: diagv(spectrum)) %*%
+ qr(Matrices.symmetricUniformView(n, spectrumLen, 2345))._1.t
+ val drmA = drmParallelize(inCoreA, numPartitions = 2)
+
+ // Decompose using ALS
+ val (drmU, drmV, rmse) = dals(drmA = drmA, k = 20).toTuple
+ val inCoreU = drmU.collect
+ val inCoreV = drmV.collect
+
+ val predict = inCoreU %*% inCoreV.t
+
+ printf("Control block:\n%s\n", inCoreA(0 until 3, 0 until 3))
+ printf("ALS factorized approximation block:\n%s\n", predict(0 until 3, 0 until 3))
+
+ val err = (inCoreA - predict).norm
+ printf("norm of residuals %f\n", err)
+ printf("train iteration rmses: %s\n", rmse)
+
+ err should be < 15e-2
+
+ }
+
+}
\ No newline at end of file
[2/2] mahout git commit: Merge branch 'flink-binding' of
https://git-wip-us.apache.org/repos/asf/mahout into flink-binding
Posted by ap...@apache.org.
Merge branch 'flink-binding' of https://git-wip-us.apache.org/repos/asf/mahout into flink-binding
Project: http://git-wip-us.apache.org/repos/asf/mahout/repo
Commit: http://git-wip-us.apache.org/repos/asf/mahout/commit/71609ad6
Tree: http://git-wip-us.apache.org/repos/asf/mahout/tree/71609ad6
Diff: http://git-wip-us.apache.org/repos/asf/mahout/diff/71609ad6
Branch: refs/heads/flink-binding
Commit: 71609ad61ce02feeaa641c0cedb75e707d6c9b7d
Parents: 472438b 4856d5f
Author: Andrew Palumbo <ap...@apache.org>
Authored: Sun Apr 10 19:13:10 2016 -0400
Committer: Andrew Palumbo <ap...@apache.org>
Committed: Sun Apr 10 19:13:10 2016 -0400
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.../scala/org/apache/mahout/flinkbindings/blas/package.scala | 4 ++--
.../scala/org/apache/mahout/sparkbindings/blas/package.scala | 2 +-
2 files changed, 3 insertions(+), 3 deletions(-)
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