Spark 4.0.0 ScalaDoc - org.apache.spark.ml.linalg.Matrix (original) (raw)
sealed trait Matrix extends Serializable
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Abstract Value Members
- abstract def apply(i: Int, j: Int): Double
- abstract def colIter: Iterator[Vector]
- abstract def copy: Matrix
- abstract def foreachActive(f: (Int, Int, Double) => Unit): Unit
- 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
- def compressed: Matrix
- def compressedColMajor: Matrix
- def compressedRowMajor: Matrix
- final def eq(arg0: AnyRef): Boolean
- def equals(arg0: AnyRef): Boolean
- final def getClass(): Class[_ <: AnyRef]
- 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 toDense: DenseMatrix
- def toDenseColMajor: DenseMatrix
- def toDenseRowMajor: DenseMatrix
- def toSparse: SparseMatrix
- def toSparseColMajor: SparseMatrix
- def toSparseRowMajor: SparseMatrix
- def toString(maxLines: Int, maxLineWidth: Int): String
- 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