abstract class DataFrameStatFunctions extends AnyRef
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Instance Constructors
- new DataFrameStatFunctions()
Abstract Value Members
- abstract def approxQuantile(cols: Array[String], probabilities: Array[Double], relativeError: Double): Array[Array[Double]]
- abstract def corr(col1: String, col2: String, method: String): Double
- abstract def cov(col1: String, col2: String): Double
- abstract def crosstab(col1: String, col2: String): DataFrame
- abstract def df: DataFrame
- abstract def freqItems(cols: Seq[String], support: Double): DataFrame
- abstract def sampleBy[T](col: Column, fractions: Map[T, Double], seed: Long): DataFrame
Concrete Value Members
- final def !=(arg0: Any): Boolean
- final def ##: Int
- final def ==(arg0: Any): Boolean
- def approxQuantile(col: String, probabilities: Array[Double], relativeError: Double): Array[Double]
- final def asInstanceOf[T0]: T0
- def bloomFilter(col: Column, expectedNumItems: Long, numBits: Long): BloomFilter
- def bloomFilter(colName: String, expectedNumItems: Long, numBits: Long): BloomFilter
- def bloomFilter(col: Column, expectedNumItems: Long, fpp: Double): BloomFilter
- def bloomFilter(colName: String, expectedNumItems: Long, fpp: Double): BloomFilter
- def clone(): AnyRef
- def corr(col1: String, col2: String): Double
- def countMinSketch(col: Column, eps: Double, confidence: Double, seed: Int): CountMinSketch
- def countMinSketch(col: Column, depth: Int, width: Int, seed: Int): CountMinSketch
- def countMinSketch(colName: String, eps: Double, confidence: Double, seed: Int): CountMinSketch
- def countMinSketch(colName: String, depth: Int, width: Int, seed: Int): CountMinSketch
- final def eq(arg0: AnyRef): Boolean
- def equals(arg0: AnyRef): Boolean
- def freqItems(cols: Seq[String]): DataFrame
- def freqItems(cols: Array[String]): DataFrame
- def freqItems(cols: Array[String], support: Double): DataFrame
- final def getClass(): Class[_ <: AnyRef]
- def hashCode(): Int
- final def isInstanceOf[T0]: Boolean
- final def ne(arg0: AnyRef): Boolean
- final def notify(): Unit
- final def notifyAll(): Unit
- def sampleBy[T](col: Column, fractions: Map[T, Double], seed: Long): DataFrame
- def sampleBy[T](col: String, fractions: Map[T, Double], seed: Long): DataFrame
- def sampleBy[T](col: String, fractions: Map[T, Double], seed: Long): DataFrame
- final def synchronized[T0](arg0: => T0): T0
- def toString(): String
- final def wait(arg0: Long, arg1: Int): Unit
- final def wait(arg0: Long): Unit
- final def wait(): Unit
Deprecated Value Members
- def finalize(): Unit