[GitHub] spark pull request: [SPARK-13857][ML][WIP] Add "recommend all" fun...

2016-04-26 Thread MLnick
Github user MLnick commented on a diff in the pull request: https://github.com/apache/spark/pull/12574#discussion_r61081773 --- Diff: mllib/src/main/scala/org/apache/spark/ml/recommendation/ALS.scala --- @@ -218,11 +292,135 @@ class ALSModel private[ml] ( predict(userF

[GitHub] spark pull request: [SPARK-13857][ML][WIP] Add "recommend all" fun...

2016-04-26 Thread MLnick
Github user MLnick commented on a diff in the pull request: https://github.com/apache/spark/pull/12574#discussion_r61081233 --- Diff: mllib/src/main/scala/org/apache/spark/ml/recommendation/ALS.scala --- @@ -374,9 +599,26 @@ class ALS(@Since("1.4.0") override val uid: String) exte

[GitHub] spark pull request: [SPARK-13857][ML][WIP] Add "recommend all" fun...

2016-04-26 Thread MLnick
Github user MLnick commented on a diff in the pull request: https://github.com/apache/spark/pull/12574#discussion_r61081248 --- Diff: mllib/src/main/scala/org/apache/spark/ml/recommendation/ALS.scala --- @@ -200,8 +240,42 @@ class ALSModel private[ml] ( @Since("1.3.0")

[GitHub] spark pull request: [SPARK-13857][ML][WIP] Add "recommend all" fun...

2016-04-25 Thread BryanCutler
Github user BryanCutler commented on a diff in the pull request: https://github.com/apache/spark/pull/12574#discussion_r60960027 --- Diff: mllib/src/main/scala/org/apache/spark/ml/recommendation/ALS.scala --- @@ -374,9 +599,26 @@ class ALS(@Since("1.4.0") override val uid: String)

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2016-04-25 Thread BryanCutler
Github user BryanCutler commented on a diff in the pull request: https://github.com/apache/spark/pull/12574#discussion_r60959688 --- Diff: mllib/src/main/scala/org/apache/spark/ml/recommendation/ALS.scala --- @@ -200,8 +240,42 @@ class ALSModel private[ml] ( @Since("1.3.0")

[GitHub] spark pull request: [SPARK-13857][ML][WIP] Add "recommend all" fun...

2016-04-25 Thread frreiss
Github user frreiss commented on the pull request: https://github.com/apache/spark/pull/12574#issuecomment-214463888 LGTM --- 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 have this feature enabled

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2016-04-25 Thread frreiss
Github user frreiss commented on a diff in the pull request: https://github.com/apache/spark/pull/12574#discussion_r60958628 --- Diff: mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala --- @@ -261,58 +261,93 @@ object MatrixFactorizationMode

[GitHub] spark pull request: [SPARK-13857][ML][WIP] Add "recommend all" fun...

2016-04-25 Thread frreiss
Github user frreiss commented on a diff in the pull request: https://github.com/apache/spark/pull/12574#discussion_r60958325 --- Diff: mllib/src/main/scala/org/apache/spark/ml/recommendation/ALS.scala --- @@ -218,11 +292,135 @@ class ALSModel private[ml] ( predict(user

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2016-04-25 Thread SparkQA
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2016-04-25 Thread SparkQA
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2016-04-25 Thread SparkQA
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2016-04-24 Thread SparkQA
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2016-04-24 Thread MLnick
Github user MLnick commented on the pull request: https://github.com/apache/spark/pull/12574#issuecomment-214001249 jenkins retest this please --- 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 have

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2016-04-23 Thread MLnick
Github user MLnick commented on a diff in the pull request: https://github.com/apache/spark/pull/12574#discussion_r60825440 --- Diff: mllib/src/main/scala/org/apache/spark/ml/recommendation/ALS.scala --- @@ -218,11 +292,135 @@ class ALSModel private[ml] ( predict(userF

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2016-04-23 Thread MLnick
Github user MLnick commented on a diff in the pull request: https://github.com/apache/spark/pull/12574#discussion_r60825409 --- Diff: mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala --- @@ -261,58 +261,93 @@ object MatrixFactorizationModel

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2016-04-23 Thread MLnick
Github user MLnick commented on a diff in the pull request: https://github.com/apache/spark/pull/12574#discussion_r60825392 --- Diff: mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala --- @@ -261,58 +261,93 @@ object MatrixFactorizationModel

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2016-04-22 Thread frreiss
Github user frreiss commented on a diff in the pull request: https://github.com/apache/spark/pull/12574#discussion_r60779700 --- Diff: mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala --- @@ -261,58 +261,93 @@ object MatrixFactorizationMode

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2016-04-22 Thread frreiss
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2016-04-22 Thread frreiss
Github user frreiss commented on a diff in the pull request: https://github.com/apache/spark/pull/12574#discussion_r60775792 --- Diff: mllib/src/main/scala/org/apache/spark/ml/recommendation/ALS.scala --- @@ -218,11 +292,135 @@ class ALSModel private[ml] ( predict(user

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2016-04-21 Thread MLnick
Github user MLnick commented on the pull request: https://github.com/apache/spark/pull/12574#issuecomment-213287357 Test failure seems to be caused by issue in #12599 --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If you

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2016-04-21 Thread AmplabJenkins
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2016-04-21 Thread SparkQA
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2016-04-21 Thread MLnick
Github user MLnick commented on the pull request: https://github.com/apache/spark/pull/12574#issuecomment-212939059 retest this please --- 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 have this fea

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2016-04-21 Thread MLnick
Github user MLnick commented on the pull request: https://github.com/apache/spark/pull/12574#issuecomment-212886112 Adding some further detail... ## Proposed semantics * `ALSModel.transform` handles both point predictions (predict `rating` for each `(user, item)` combo in

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2016-04-21 Thread SparkQA
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2016-04-21 Thread MLnick
GitHub user MLnick opened a pull request: https://github.com/apache/spark/pull/12574 [SPARK-13857][ML][WIP] Add "recommend all" functionality in ALS This PR adds "recommend all" functionality to ML's `ALSModel`, similar to what exists in the `recommendProductsForUsers/recommendUsers