Github user debasish83 commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-98021307
@mengxr please go ahead...
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not hav
Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-98002797
@debasish83 Do you mind me sending you an update?
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your p
Github user debasish83 commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-96403986
was very last few weeks...update it in next few days...
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well.
Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-95009893
@debasish83 Do you have time to update the PR?
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your proj
Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-90740329
@debasish83 In RankingMetrics, the label set doesn't have an ordering. It
is either hit or miss at each position.
---
If your project is set up for it, you can reply to t
Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-89729865
That might be a fine score. I remember them being MAP being quite low in
general and that 0.1 would be "very good". I don't recall the number for
Netflix, so don't take th
Github user debasish83 commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-89729777
agreed with the implicit MAP calculationFor netflix dataset, I got
0.014...May be I need to use a better regularization...was that 0.05-0.1 number
from using lambd
Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-89729632
I don't remember from the last time I tried the Netflix dataset but in
general MAP is low, like 0.05-0.1, even when recommendations are "good"
according to RMSE.
Github user debasish83 commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-89729377
I meant MAP...what's the MAP on netflix dataset you have seen before and
with what lambda ? I am running MAP experiments with various factorization
formulations includ
Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-89728639
@debasish83 do you mean RMSE? it is well-defined but not very useful. MAP
is the useful metric. I think that only a rank-dependent metric makes sense.
---
If your project
Github user debasish83 commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-89706247
@coderxiang @mengxr If I have a dataset with implicit (click or 0) then MAP
is not that well defined right since in label set everything is 1.0 and so
there is no orde
Github user debasish83 commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-89697236
@srowen For netflix dataset what's the MAP you have seen before...I started
experiments on Netflix dataset...lambda is 0.065 for netflix as well right ?
For MovieLens
Github user debasish83 commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r27769592
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/MovieLensALS.scala ---
@@ -167,23 +169,66 @@ object MovieLensALS {
.setProduct
Github user debasish83 commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r27712646
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -138,14 +141,122 @@ class MatrixFactorizationMo
Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-89083630
@debasish83 The code style still need fixes. On the high level, I think
having variable `num` is not necessary. Let's do a global num in this PR and
see whether users ask
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r27707377
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -138,14 +141,122 @@ class MatrixFactorizationModel(
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r27707375
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -138,14 +141,122 @@ class MatrixFactorizationModel(
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r27707386
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -138,14 +141,122 @@ class MatrixFactorizationModel(
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r27707380
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -138,14 +141,122 @@ class MatrixFactorizationModel(
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r27707373
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -138,14 +141,122 @@ class MatrixFactorizationModel(
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r27707360
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/MovieLensALS.scala ---
@@ -167,23 +169,66 @@ object MovieLensALS {
.setProductBloc
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r27707363
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/MovieLensALS.scala ---
@@ -167,23 +169,66 @@ object MovieLensALS {
.setProductBloc
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r27707367
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -70,26 +71,28 @@ class MatrixFactorizationModel(
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r27707364
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/MovieLensALS.scala ---
@@ -167,23 +169,66 @@ object MovieLensALS {
.setProductBloc
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r27707370
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -138,14 +141,122 @@ class MatrixFactorizationModel(
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r27707366
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -70,26 +71,28 @@ class MatrixFactorizationModel(
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r27707362
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/MovieLensALS.scala ---
@@ -167,23 +169,66 @@ object MovieLensALS {
.setProductBloc
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r27707356
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/MovieLensALS.scala ---
@@ -167,23 +169,66 @@ object MovieLensALS {
.setProductBloc
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r27624801
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/MovieLensALS.scala ---
@@ -39,14 +39,15 @@ import org.apache.spark.rdd.RDD
object MovieL
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r27624736
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -103,13 +109,106 @@ class MatrixFactorizationModel
Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-88361354
Test PASSed.
Refer to this link for build results (access rights to CI server needed):
https://amplab.cs.berkeley.edu/jenkins//job/SparkPullRequestBuilder/29
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-88361341
[Test build #29521 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/29521/consoleFull)
for PR 3098 at commit
[`3a0c4eb`](https://gith
Github user debasish83 commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-88347022
@mengxr could you please do another passI might have missed the JavaRDD
compatibility issue but fixed rest of your comments...
---
If your project is set up for i
Github user debasish83 commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-88346990
I reran the map computation on MovieLens with varying ranks:
Example run:
./bin/spark-submit --master spark://TUSCA09LMLVT00C.local:7077 --class
org.apache
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-88346961
[Test build #29521 has
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/29521/consoleFull)
for PR 3098 at commit
[`3a0c4eb`](https://githu
Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-88312097
Test FAILed.
Refer to this link for build results (access rights to CI server needed):
https://amplab.cs.berkeley.edu/jenkins//job/SparkPullRequestBuilder/29
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-88312094
[Test build #29518 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/29518/consoleFull)
for PR 3098 at commit
[`98fa424`](https://gith
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-88311999
[Test build #29518 has
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/29518/consoleFull)
for PR 3098 at commit
[`98fa424`](https://githu
Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-88311846
Test FAILed.
Refer to this link for build results (access rights to CI server needed):
https://amplab.cs.berkeley.edu/jenkins//job/SparkPullRequestBuilder/29
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-88311843
[Test build #29517 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/29517/consoleFull)
for PR 3098 at commit
[`ee99571`](https://gith
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-88311599
[Test build #29517 has
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/29517/consoleFull)
for PR 3098 at commit
[`ee99571`](https://githu
Github user debasish83 commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-88292172
If we move computeRankingMetrics and computeRMSE to a better place, I can
guard it through tests...
---
If your project is set up for it, you can reply to this email
Github user debasish83 commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-88291470
@mengxr I also added 2 test-cases for batch predict APIs. These features
are useful if users are interested in computing MAP measures...Let me know if I
move the funct
Github user debasish83 commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r27535273
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -103,13 +109,106 @@ class MatrixFactorizationMo
Github user debasish83 commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r27533769
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -103,13 +109,106 @@ class MatrixFactorizationMo
Github user debasish83 commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r27529681
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -103,13 +109,106 @@ class MatrixFactorizationMo
Github user debasish83 commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r27529308
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -35,33 +41,33 @@ import org.apache.spark.rdd.RD
Github user debasish83 commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r27529347
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -35,33 +41,33 @@ import org.apache.spark.rdd.RD
Github user debasish83 commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r27529231
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -17,14 +17,20 @@
package org.apache.
Github user debasish83 commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r27529218
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -17,14 +17,20 @@
package org.apache.
Github user debasish83 commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r27528991
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/MovieLensALS.scala ---
@@ -171,18 +175,62 @@ object MovieLensALS {
println
Github user debasish83 commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r27528959
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/MovieLensALS.scala ---
@@ -171,18 +175,62 @@ object MovieLensALS {
println
Github user debasish83 commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r27528238
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/MovieLensALS.scala ---
@@ -171,18 +175,62 @@ object MovieLensALS {
println
Github user debasish83 commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r27528198
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/MovieLensALS.scala ---
@@ -171,18 +175,62 @@ object MovieLensALS {
println
Github user debasish83 commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r27528120
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/MovieLensALS.scala ---
@@ -171,18 +175,62 @@ object MovieLensALS {
println
Github user debasish83 commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r27528071
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/MovieLensALS.scala ---
@@ -171,18 +175,62 @@ object MovieLensALS {
println
Github user debasish83 commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r27525568
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/MovieLensALS.scala ---
@@ -171,18 +175,62 @@ object MovieLensALS {
println
Github user debasish83 commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r27525485
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/MovieLensALS.scala ---
@@ -74,6 +75,9 @@ object MovieLensALS {
opt[Unit]("impl
Github user debasish83 commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r26545110
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/MovieLensALS.scala ---
@@ -18,14 +18,14 @@
package org.apache.spark.examples.mllib
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r24955687
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -103,13 +109,106 @@ class MatrixFactorizationModel
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r24955679
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -103,13 +109,106 @@ class MatrixFactorizationModel
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r24955671
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -35,33 +41,33 @@ import org.apache.spark.rdd.RDD
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r24955675
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -103,13 +109,106 @@ class MatrixFactorizationModel
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r24955690
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -103,13 +109,106 @@ class MatrixFactorizationModel
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r24955684
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -103,13 +109,106 @@ class MatrixFactorizationModel
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r24955678
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -103,13 +109,106 @@ class MatrixFactorizationModel
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r24955650
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/MovieLensALS.scala ---
@@ -171,18 +175,62 @@ object MovieLensALS {
println(s"T
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r24955626
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/MovieLensALS.scala ---
@@ -39,14 +39,15 @@ import org.apache.spark.rdd.RDD
object MovieL
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r24955674
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -35,33 +41,33 @@ import org.apache.spark.rdd.RDD
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r24955670
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -17,14 +17,20 @@
package org.apache.spar
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r24955680
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -103,13 +109,106 @@ class MatrixFactorizationModel
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r24955662
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/MovieLensALS.scala ---
@@ -171,18 +175,62 @@ object MovieLensALS {
println(s"T
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r24955657
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/MovieLensALS.scala ---
@@ -171,18 +175,62 @@ object MovieLensALS {
println(s"T
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r24955652
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/MovieLensALS.scala ---
@@ -171,18 +175,62 @@ object MovieLensALS {
println(s"T
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r24955664
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -17,14 +17,20 @@
package org.apache.spar
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r24955654
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/MovieLensALS.scala ---
@@ -171,18 +175,62 @@ object MovieLensALS {
println(s"T
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r24955659
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/MovieLensALS.scala ---
@@ -171,18 +175,62 @@ object MovieLensALS {
println(s"T
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r24955648
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/MovieLensALS.scala ---
@@ -171,18 +175,62 @@ object MovieLensALS {
println(s"T
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r24955630
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/MovieLensALS.scala ---
@@ -74,6 +75,9 @@ object MovieLensALS {
opt[Unit]("implicit
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r24955624
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/MovieLensALS.scala ---
@@ -18,14 +18,14 @@
package org.apache.spark.examples.mllib
Github user debasish83 commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-64804819
@mengxr can we please review and merge this ? It will greatly help in
reporting results from PLSA and other variants of matrix factorization
results...should I update
Github user debasish83 commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-63979463
More details about the API added and experiments are on the JIRA
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub
Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-63745222
Test PASSed.
Refer to this link for build results (access rights to CI server needed):
https://amplab.cs.berkeley.edu/jenkins//job/SparkPullRequestBuilder/23
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-63745215
[Test build #23642 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/23642/consoleFull)
for PR 3098 at commit
[`3f97c49`](https://gith
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-63738974
**[Test build #23632 timed
out](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/23632/consoleFull)**
for PR 3098 at commit
[`7163a5c`](https://git
Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-63738984
Test FAILed.
Refer to this link for build results (access rights to CI server needed):
https://amplab.cs.berkeley.edu/jenkins//job/SparkPullRequestBuilder/23
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-63736377
[Test build #23642 has
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/23642/consoleFull)
for PR 3098 at commit
[`3f97c49`](https://githu
Github user debasish83 commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r20617279
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/MovieLensALS.scala ---
@@ -18,14 +18,14 @@
package org.apache.spark.examples.mllib
Github user debasish83 commented on a diff in the pull request:
https://github.com/apache/spark/pull/3098#discussion_r20616949
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/MovieLensALS.scala ---
@@ -39,14 +39,15 @@ import org.apache.spark.rdd.RDD
object Mo
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-63722805
[Test build #23632 has
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/23632/consoleFull)
for PR 3098 at commit
[`7163a5c`](https://githu
Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-62675921
Test PASSed.
Refer to this link for build results (access rights to CI server needed):
https://amplab.cs.berkeley.edu/jenkins//job/SparkPullRequestBuilder/23
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-62675915
[Test build #23246 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/23246/consoleFull)
for PR 3098 at commit
[`d144f57`](https://gith
Github user debasish83 commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-62670877
More performance tests undergoing for internal datasets where the cartesian
code is really slow (due to groupByKey)...For MovieLens there is no substantial
difference.
Github user debasish83 commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-62670769
@mengxr added recommendAll API to MatrixFactorizationModel and right now
the catesian based topK finding is also in the code for validation...
Example run:
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-62670490
[Test build #23246 has
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/23246/consoleFull)
for PR 3098 at commit
[`d144f57`](https://githu
95 matches
Mail list logo