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package root

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root
package org

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root
package apache

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org
package spark
Core Spark functionality.
Core Spark functionality. org.apache.spark.SparkContext serves as the main entry point to Spark, while org.apache.spark.rdd.RDD is the data type representing a distributed collection, and provides most parallel operations.
In addition, org.apache.spark.rdd.PairRDDFunctions contains operations available only on RDDs of key-value pairs, such as groupByKey and join; org.apache.spark.rdd.DoubleRDDFunctions contains operations available only on RDDs of Doubles; and org.apache.spark.rdd.SequenceFileRDDFunctions contains operations available on RDDs that can be saved as SequenceFiles. These operations are automatically available on any RDD of the right type (e.g. RDD[(Int, Int)] through implicit conversions.
Java programmers should reference the org.apache.spark.api.java package for Spark programming APIs in Java.
Classes and methods marked with Experimental are user-facing features which have not been officially adopted by the Spark project. These are subject to change or removal in minor releases.
Classes and methods marked with Developer API are intended for advanced users want to extend Spark through lower level interfaces. These are subject to changes or removal in minor releases.

Definition Classes
apache
package ml
DataFrame-based machine learning APIs to let users quickly assemble and configure practical machine learning pipelines.
DataFrame-based machine learning APIs to let users quickly assemble and configure practical machine learning pipelines.

Definition Classes
spark
package stat

Definition Classes
ml
package distribution

Definition Classes
stat
ChiSquareTest
Correlation
KolmogorovSmirnovTest
Summarizer
SummaryBuilder

org.apache.spark.ml.stat

SummaryBuilder

sealed abstract class SummaryBuilder extends AnyRef

A builder object that provides summary statistics about a given column.

Users should not directly create such builders, but instead use one of the methods in Summarizer.

Annotations: @Since( "2.3.0" )
Source: Summarizer.scala

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abstract def summary(featuresCol: Column, weightCol: Column): Column
Returns an aggregate object that contains the summary of the column with the requested metrics.
Returns an aggregate object that contains the summary of the column with the requested metrics.
featuresCol
a column that contains features Vector object.
weightCol
a column that contains weight value. Default weight is 1.0.
returns
an aggregate column that contains the statistics. The exact content of this structure is determined during the creation of the builder.

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def summary(featuresCol: Column): Column

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SummaryBuilder

sealed abstract class SummaryBuilder extends AnyRef

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SummaryBuilder 

sealed abstract class SummaryBuilder extends AnyRef

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SummaryBuilder