Spark 3.5.5 ScalaDoc - org.apache.spark.mllib.linalg.Matrix (original) (raw)
sealed trait Matrix extends Serializable
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Matrix
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Abstract Value Members
- abstract def apply(i: Int, j: Int): Double
- abstract def asML: ml.linalg.Matrix
- abstract def colIter: Iterator[Vector]
- abstract def copy: Matrix
- abstract def numActives: Int
- abstract def numCols: Int
- abstract def numNonzeros: Int
- abstract def numRows: Int
- abstract def transpose: Matrix
Concrete Value Members
- final def !=(arg0: Any): Boolean
- final def ##(): Int
- final def ==(arg0: Any): Boolean
- final def asInstanceOf[T0]: T0
- def clone(): AnyRef
- final def eq(arg0: AnyRef): Boolean
- def equals(arg0: Any): Boolean
- def finalize(): Unit
- final def getClass(): Class[_]
- def hashCode(): Int
- final def isInstanceOf[T0]: Boolean
- val isTransposed: Boolean
- def multiply(y: Vector): DenseVector
- def multiply(y: DenseVector): DenseVector
- def multiply(y: DenseMatrix): DenseMatrix
- final def ne(arg0: AnyRef): Boolean
- final def notify(): Unit
- final def notifyAll(): Unit
- def rowIter: Iterator[Vector]
- final def synchronized[T0](arg0: ⇒ T0): T0
- def toArray: Array[Double]
- def toString(maxLines: Int, maxLineWidth: Int): String
- def toString(): String
- final def wait(): Unit
- final def wait(arg0: Long, arg1: Int): Unit
- final def wait(arg0: Long): Unit