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[SPARK-30418][ML] Make FM call super class method extractLabeledPoints #27093

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huaxingao wants to merge 2 commits into from
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[SPARK-30418][ML] Make FM call super class method extractLabeledPoints #27093

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6895c67
[SPARK-30418][ML] Make FM call super class method extractLabeledPoints
huaxingao Jan 3, 2020
b0c01c4
remove extra space
huaxingao Jan 5, 2020
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10 changes: 2 additions & 8 deletions mllib/src/main/scala/org/apache/spark/ml/classification/FMClassifier.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -204,14 +204,8 @@ class FMClassifier @Since("3.0.0") (
instr.logNumFeatures(numFeatures)

val handlePersistence = dataset.storageLevel == StorageLevel.NONE
val data: RDD[(Double, OldVector)] =
dataset.select(col($(labelCol)), col($(featuresCol))).rdd.map {
case Row(label: Double, features: Vector) =>
require(label == 0 || label == 1, s"FMClassifier was given" +
s" dataset with invalid label $label. Labels must be in {0,1}; note that" +
s" FMClassifier currently only supports binary classification.")
(label, features)
}
val labeledPoint = extractLabeledPoints(dataset, numClasses)
val data: RDD[(Double, OldVector)] = labeledPoint.map(x => (x.label, x.features))

if (handlePersistence) data.persist(StorageLevel.MEMORY_AND_DISK)

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7 changes: 2 additions & 5 deletions mllib/src/main/scala/org/apache/spark/ml/regression/FMRegressor.scala
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Expand Up @@ -419,11 +419,8 @@ class FMRegressor @Since("3.0.0") (
instr.logNumFeatures(numFeatures)

val handlePersistence = dataset.storageLevel == StorageLevel.NONE
val data: RDD[(Double, OldVector)] =
dataset.select(col($(labelCol)), col($(featuresCol))).rdd.map {
case Row(label: Double, features: Vector) =>
(label, features)
}
val labeledPoint = extractLabeledPoints(dataset)
val data: RDD[(Double, OldVector)] = labeledPoint.map(x => (x.label, x.features))

if (handlePersistence) data.persist(StorageLevel.MEMORY_AND_DISK)

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