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enable to handle nan value in VectorAssembler #41

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26 changes: 15 additions & 11 deletions pom.xml
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Original file line number Diff line number Diff line change
Expand Up @@ -10,19 +10,23 @@
<maven.compiler.target>1.6</maven.compiler.target>
<encoding>UTF-8</encoding>
<scala.tools.version>2.11</scala.tools.version>
<scala.version>2.11.6</scala.version>
<scala.version>2.11.8</scala.version>
<spark.version>2.4.2</spark.version>
<scala.spark.version>2.11</scala.spark.version>
</properties>
<dependencies>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.11</artifactId>
<version>2.1.1</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-mllib_2.11</artifactId>
<version>2.1.1</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_${scala.spark.version}</artifactId>
<version>${spark.version}</version>
<!-- <scope>provided</scope>-->
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-mllib_${scala.spark.version}</artifactId>
<version>${spark.version}</version>
<!-- <scope>provided</scope>-->
</dependency>
<dependency>
<groupId>org.scala-lang</groupId>
<artifactId>scala-library</artifactId>
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2 changes: 1 addition & 1 deletion src/main/scala/org/apache/spark/ml/feature/MDLPDiscretizer.scala
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Expand Up @@ -260,7 +260,7 @@ object DiscretizerModel extends MLReadable[DiscretizerModel] {
.select("splits")
.head()
val model = new DiscretizerModel(metadata.uid, splits)
DefaultParamsReader.getAndSetParams(model, metadata)
metadata.getAndSetParams(model)
model
}
}
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2 changes: 2 additions & 0 deletions src/test/scala/org/apache/spark/ml/feature/TestHelper.scala
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Expand Up @@ -37,6 +37,8 @@ object TestHelper {
val featureAssembler = new VectorAssembler()
.setInputCols(inputCols)
.setOutputCol("features")
.setHandleInvalid("keep")

val processedDf = featureAssembler.transform(dataframe)

val discretizer = new MDLPDiscretizer()
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2 changes: 1 addition & 1 deletion src/test/scala/org/apache/spark/ml/feature/ThresholdFinderSuite.scala
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@@ -1,6 +1,6 @@
package org.apache.spark.ml.feature

import org.apache.spark.mllib.feature.{BucketInfo, FeatureUtils, ThresholdFinder}
import org.apache.spark.mllib.feature.{BucketInfo, ThresholdFinder}
import org.apache.spark.sql.SQLContext
import org.junit.runner.RunWith
import org.scalatest.{BeforeAndAfterAll, FunSuite}
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