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Spark 4.0.0 ScalaDoc - org.apache.spark.sql.DataFrameStatFunctions

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1. DataFrameStatFunctions
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1.  new DataFrameStatFunctions()

1.  abstract def approxQuantile(cols: Array[String], probabilities: Array[Double], relativeError: Double): Array[Array[Double]]
2.  abstract def corr(col1: String, col2: String, method: String): Double
3.  abstract def cov(col1: String, col2: String): Double
4.  abstract def crosstab(col1: String, col2: String): DataFrame
5.  abstract def df: DataFrame
6.  abstract def freqItems(cols: Seq[String], support: Double): DataFrame
7.  abstract def sampleBy[T](col: Column, fractions: Map[T, Double], seed: Long): DataFrame

1.  final def !=(arg0: Any): Boolean
2.  final def ##: Int
3.  final def ==(arg0: Any): Boolean
4.  def approxQuantile(col: String, probabilities: Array[Double], relativeError: Double): Array[Double]
5.  final def asInstanceOf[T0]: T0
6.  def bloomFilter(col: Column, expectedNumItems: Long, numBits: Long): BloomFilter
7.  def bloomFilter(colName: String, expectedNumItems: Long, numBits: Long): BloomFilter
8.  def bloomFilter(col: Column, expectedNumItems: Long, fpp: Double): BloomFilter
9.  def bloomFilter(colName: String, expectedNumItems: Long, fpp: Double): BloomFilter
10.  def clone(): AnyRef
11.  def corr(col1: String, col2: String): Double
12.  def countMinSketch(col: Column, eps: Double, confidence: Double, seed: Int): CountMinSketch
13.  def countMinSketch(col: Column, depth: Int, width: Int, seed: Int): CountMinSketch
14.  def countMinSketch(colName: String, eps: Double, confidence: Double, seed: Int): CountMinSketch
15.  def countMinSketch(colName: String, depth: Int, width: Int, seed: Int): CountMinSketch
16.  final def eq(arg0: AnyRef): Boolean
17.  def equals(arg0: AnyRef): Boolean
18.  def freqItems(cols: Seq[String]): DataFrame
19.  def freqItems(cols: Array[String]): DataFrame
20.  def freqItems(cols: Array[String], support: Double): DataFrame
21.  final def getClass(): Class[_ <: AnyRef]
22.  def hashCode(): Int
23.  final def isInstanceOf[T0]: Boolean
24.  final def ne(arg0: AnyRef): Boolean
25.  final def notify(): Unit
26.  final def notifyAll(): Unit
27.  def sampleBy[T](col: Column, fractions: Map[T, Double], seed: Long): DataFrame
28.  def sampleBy[T](col: String, fractions: Map[T, Double], seed: Long): DataFrame
29.  def sampleBy[T](col: String, fractions: Map[T, Double], seed: Long): DataFrame
30.  final def synchronized[T0](arg0: => T0): T0
31.  def toString(): String
32.  final def wait(arg0: Long, arg1: Int): Unit
33.  final def wait(arg0: Long): Unit
34.  final def wait(): Unit

1.  def finalize(): Unit

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