[GitHub] spark pull request: [SPARK-10738][ML] Refactoring `Instance` out f...
Github user mengxr commented on the pull request: https://github.com/apache/spark/pull/8853#issuecomment-146356551 LGTM. Merged into master. Sorry for the delay! --- 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 and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request: [SPARK-10738][ML] Refactoring `Instance` out f...
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[GitHub] spark pull request: [SPARK-10738][ML] Refactoring `Instance` out f...
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[GitHub] spark pull request: [SPARK-10738][ML] Refactoring `Instance` out f...
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[GitHub] spark pull request: [SPARK-10738][ML] Refactoring `Instance` out f...
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[GitHub] spark pull request: [SPARK-10738][ML] Refactoring `Instance` out f...
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[GitHub] spark pull request: [SPARK-10738][ML] Refactoring `Instance` out f...
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[GitHub] spark pull request: [SPARK-10738][ML] Refactoring `Instance` out f...
Github user dbtsai commented on a diff in the pull request: https://github.com/apache/spark/pull/8853#discussion_r40767420 --- Diff: mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala --- @@ -541,36 +536,38 @@ private class LeastSquaresAggregator( private val gradientSumArray = Array.ofDim[Double](dim) /** - * Add a new training data to this LeastSquaresAggregator, and update the loss and gradient + * Add a new training instance to this LeastSquaresAggregator, and update the loss and gradient * of the objective function. * - * @param instance The data point instance to be added. + * @param instance The instance of data point to be added. * @return This LeastSquaresAggregator object. */ - def add(instance: Instance): this.type = -instance match { case Instance(label, weight, features) => - require(dim == features.size, s"Dimensions mismatch when adding new sample." + -s" Expecting $dim but got ${features.size}.") - require(weight >= 0.0, s"instance weight, ${weight} has to be >= 0.0") - - if (weight == 0.0) return this - - val diff = dot(features, effectiveCoefficientsVector) - label / labelStd + offset - - if (diff != 0) { -val localGradientSumArray = gradientSumArray -features.foreachActive { (index, value) => - if (featuresStd(index) != 0.0 && value != 0.0) { -localGradientSumArray(index) += weight * diff * value / featuresStd(index) + def add(instance: Instance): this.type = { +instance match { + case Instance(label, weight, features) => +require(dim == features.size, s"Dimensions mismatch when adding new sample." + + s" Expecting $dim but got ${features.size}.") +require(weight >= 0.0, s"instance weight, ${weight} has to be >= 0.0") + +if (weight == 0.0) return this + +val diff = dot(features, effectiveCoefficientsVector) - label / labelStd + offset + +if (diff != 0) { + val localGradientSumArray = gradientSumArray + features.foreachActive { (index, value) => +if (featuresStd(index) != 0.0 && value != 0.0) { + localGradientSumArray(index) += weight * diff * value / featuresStd(index) +} } + lossSum += weight * diff * diff / 2.0 } -lossSum += weight * diff * diff / 2.0 - } - totalCnt += 1 - weightSum += weight - this +totalCnt += 1 --- End diff -- The indentation is correct since we added another block. But I'm going to remove this block for your previous comment. --- 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 and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request: [SPARK-10738][ML] Refactoring `Instance` out f...
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[GitHub] spark pull request: [SPARK-10738][ML] Refactoring `Instance` out f...
Github user dbtsai commented on a diff in the pull request: https://github.com/apache/spark/pull/8853#discussion_r40767083 --- Diff: mllib/src/test/scala/org/apache/spark/ml/classification/LogisticRegressionSuite.scala --- @@ -20,6 +20,7 @@ package org.apache.spark.ml.classification import scala.util.Random import org.apache.spark.SparkFunSuite +import org.apache.spark.ml.feature.Instance --- End diff -- They are used to construct the synthetic weighted data. --- 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 and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request: [SPARK-10738][ML] Refactoring `Instance` out f...
Github user dbtsai commented on a diff in the pull request: https://github.com/apache/spark/pull/8853#discussion_r40767101 --- Diff: mllib/src/test/scala/org/apache/spark/ml/regression/LinearRegressionSuite.scala --- @@ -20,6 +20,7 @@ package org.apache.spark.ml.regression import scala.util.Random import org.apache.spark.SparkFunSuite +import org.apache.spark.ml.feature.Instance --- End diff -- They are used to construct the synthetic weighted data. --- 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 and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request: [SPARK-10738][ML] Refactoring `Instance` out f...
Github user dbtsai commented on the pull request: https://github.com/apache/spark/pull/8853#issuecomment-144101215 I know `ml.feature` is mostly for feature engineering, but I don't think `ml.util` is a good place. How about make it as first citizen in `ml`? I will implement different type of `Instance` for unweighted version. --- 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 and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request: [SPARK-10738][ML] Refactoring `Instance` out f...
Github user mengxr commented on a diff in the pull request: https://github.com/apache/spark/pull/8853#discussion_r40754590 --- Diff: mllib/src/test/scala/org/apache/spark/ml/classification/LogisticRegressionSuite.scala --- @@ -20,6 +20,7 @@ package org.apache.spark.ml.classification import scala.util.Random import org.apache.spark.SparkFunSuite +import org.apache.spark.ml.feature.Instance --- End diff -- not necessary --- 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 and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request: [SPARK-10738][ML] Refactoring `Instance` out f...
Github user mengxr commented on a diff in the pull request: https://github.com/apache/spark/pull/8853#discussion_r40754595 --- Diff: mllib/src/test/scala/org/apache/spark/ml/regression/LinearRegressionSuite.scala --- @@ -20,6 +20,7 @@ package org.apache.spark.ml.regression import scala.util.Random import org.apache.spark.SparkFunSuite +import org.apache.spark.ml.feature.Instance --- End diff -- not necessary --- 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 and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request: [SPARK-10738][ML] Refactoring `Instance` out f...
Github user dbtsai commented on the pull request: https://github.com/apache/spark/pull/8853#issuecomment-144266021 Okay. It makes sense. But it's still private, and cleans up some code, do u think it worths to merge it first and we can think about where is the best place to have it? --- 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 and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request: [SPARK-10738][ML] Refactoring `Instance` out f...
Github user mengxr commented on a diff in the pull request: https://github.com/apache/spark/pull/8853#discussion_r40754661 --- Diff: mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala --- @@ -541,36 +536,38 @@ private class LeastSquaresAggregator( private val gradientSumArray = Array.ofDim[Double](dim) /** - * Add a new training data to this LeastSquaresAggregator, and update the loss and gradient + * Add a new training instance to this LeastSquaresAggregator, and update the loss and gradient * of the objective function. * - * @param instance The data point instance to be added. + * @param instance The instance of data point to be added. * @return This LeastSquaresAggregator object. */ - def add(instance: Instance): this.type = -instance match { case Instance(label, weight, features) => - require(dim == features.size, s"Dimensions mismatch when adding new sample." + -s" Expecting $dim but got ${features.size}.") - require(weight >= 0.0, s"instance weight, ${weight} has to be >= 0.0") - - if (weight == 0.0) return this - - val diff = dot(features, effectiveCoefficientsVector) - label / labelStd + offset - - if (diff != 0) { -val localGradientSumArray = gradientSumArray -features.foreachActive { (index, value) => - if (featuresStd(index) != 0.0 && value != 0.0) { -localGradientSumArray(index) += weight * diff * value / featuresStd(index) + def add(instance: Instance): this.type = { --- End diff -- I think we shouldn't change this block. We can keep `case Instance(..` in this line. --- 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 and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request: [SPARK-10738][ML] Refactoring `Instance` out f...
Github user mengxr commented on the pull request: https://github.com/apache/spark/pull/8853#issuecomment-144259441 It will be quite hard, e.g., in survival model, we have a column called `censor`. In the future, we might want to add `offset` to instances used in linear models. --- 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 and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request: [SPARK-10738][ML] Refactoring `Instance` out f...
Github user mengxr commented on a diff in the pull request: https://github.com/apache/spark/pull/8853#discussion_r40754635 --- Diff: mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala --- @@ -541,36 +536,38 @@ private class LeastSquaresAggregator( private val gradientSumArray = Array.ofDim[Double](dim) /** - * Add a new training data to this LeastSquaresAggregator, and update the loss and gradient + * Add a new training instance to this LeastSquaresAggregator, and update the loss and gradient * of the objective function. * - * @param instance The data point instance to be added. + * @param instance The instance of data point to be added. * @return This LeastSquaresAggregator object. */ - def add(instance: Instance): this.type = -instance match { case Instance(label, weight, features) => - require(dim == features.size, s"Dimensions mismatch when adding new sample." + -s" Expecting $dim but got ${features.size}.") - require(weight >= 0.0, s"instance weight, ${weight} has to be >= 0.0") - - if (weight == 0.0) return this - - val diff = dot(features, effectiveCoefficientsVector) - label / labelStd + offset - - if (diff != 0) { -val localGradientSumArray = gradientSumArray -features.foreachActive { (index, value) => - if (featuresStd(index) != 0.0 && value != 0.0) { -localGradientSumArray(index) += weight * diff * value / featuresStd(index) + def add(instance: Instance): this.type = { +instance match { + case Instance(label, weight, features) => +require(dim == features.size, s"Dimensions mismatch when adding new sample." + + s" Expecting $dim but got ${features.size}.") +require(weight >= 0.0, s"instance weight, ${weight} has to be >= 0.0") + +if (weight == 0.0) return this + +val diff = dot(features, effectiveCoefficientsVector) - label / labelStd + offset + +if (diff != 0) { + val localGradientSumArray = gradientSumArray + features.foreachActive { (index, value) => +if (featuresStd(index) != 0.0 && value != 0.0) { + localGradientSumArray(index) += weight * diff * value / featuresStd(index) +} } + lossSum += weight * diff * diff / 2.0 } -lossSum += weight * diff * diff / 2.0 - } - totalCnt += 1 - weightSum += weight - this +totalCnt += 1 --- End diff -- The indentation seems wrong. --- 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 and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request: [SPARK-10738][ML] Refactoring `Instance` out f...
Github user mengxr commented on the pull request: https://github.com/apache/spark/pull/8853#issuecomment-143951133 @dbtsai The main question would be where we should put `Instance`. I'm not sure `ml.feature` is a good place for it, though I don't have good alternatives. Another place is `ml.util`, not ideal either. --- 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 and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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[GitHub] spark pull request: [SPARK-10738][ML] Refactoring `Instance` out f...
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/8853#issuecomment-142122675 [Test build #42781 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/42781/console) for PR 8853 at commit [`9410c24`](https://github.com/apache/spark/commit/9410c24952b1da92ba06d5662803f86a87bc6a3c). * This patch **fails Scala style tests**. * This patch merges cleanly. * This patch adds no public classes. --- 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 and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request: [SPARK-10738][ML] Refactoring `Instance` out f...
Github user AmplabJenkins commented on the pull request: https://github.com/apache/spark/pull/8853#issuecomment-142122682 Test FAILed. Refer to this link for build results (access rights to CI server needed): https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/42781/ Test FAILed. --- 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 and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request: [SPARK-10738][ML] Refactoring `Instance` out f...
GitHub user dbtsai opened a pull request: https://github.com/apache/spark/pull/8853 [SPARK-10738][ML] Refactoring `Instance` out from LOR and LIR, and also cleaning up some code Refactoring `Instance` case class out from LOR and LIR, and also cleaning up some code. You can merge this pull request into a Git repository by running: $ git pull https://github.com/dbtsai/spark refactoring Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/8853.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #8853 commit b98d0967ada4c8743033cb92c7ed7de3d65e4541 Author: DB TsaiDate: 2015-09-21T21:25:38Z Refacotoring commit 9410c24952b1da92ba06d5662803f86a87bc6a3c Author: DB Tsai Date: 2015-09-21T21:48:53Z refactoring --- 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 and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org