sealed trait Matrix extends Serializable
Trait for a local matrix.
- Annotations
- @Since("2.0.0")
- Source
- Matrices.scala
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- Matrix
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Abstract Value Members
- abstract def apply(i: Int, j: Int): Double
Gets the (i, j)-th element.
Gets the (i, j)-th element.
- Annotations
- @Since("2.0.0")
- abstract def colIter: Iterator[Vector]
Returns an iterator of column vectors.
Returns an iterator of column vectors. This operation could be expensive, depending on the underlying storage.
- Annotations
- @Since("2.0.0")
- abstract def copy: Matrix
Get a deep copy of the matrix.
Get a deep copy of the matrix.
- Annotations
- @Since("2.0.0")
- abstract def foreachActive(f: (Int, Int, Double) => Unit): Unit
Applies a function
f
to all the active elements of dense and sparse matrix.Applies a function
f
to all the active elements of dense and sparse matrix. The ordering of the elements are not defined.- f
the function takes three parameters where the first two parameters are the row and column indices respectively with the type
Int
, and the final parameter is the corresponding value in the matrix with typeDouble
.
- Annotations
- @Since("2.2.0")
- abstract def numActives: Int
Find the number of values stored explicitly.
Find the number of values stored explicitly. These values can be zero as well.
- Annotations
- @Since("2.0.0")
- abstract def numCols: Int
Number of columns.
Number of columns.
- Annotations
- @Since("2.0.0")
- abstract def numNonzeros: Int
Find the number of non-zero active values.
Find the number of non-zero active values.
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- @Since("2.0.0")
- abstract def numRows: Int
Number of rows.
Number of rows.
- Annotations
- @Since("2.0.0")
- abstract def transpose: Matrix
Transpose the Matrix.
Transpose the Matrix. Returns a new
Matrix
instance sharing the same underlying data.- Annotations
- @Since("2.0.0")
Concrete Value Members
- final def !=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- final def ##: Int
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- final def ==(arg0: Any): Boolean
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- final def asInstanceOf[T0]: T0
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- def clone(): AnyRef
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- protected[lang]
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- @throws(classOf[java.lang.CloneNotSupportedException]) @IntrinsicCandidate() @native()
- def compressed: Matrix
Returns a matrix in dense column major, dense row major, sparse row major, or sparse column major format, whichever uses less storage.
Returns a matrix in dense column major, dense row major, sparse row major, or sparse column major format, whichever uses less storage. When dense representation is optimal, it maintains the current layout order.
- Annotations
- @Since("2.2.0")
- def compressedColMajor: Matrix
Returns a matrix in dense or sparse column major format, whichever uses less storage.
Returns a matrix in dense or sparse column major format, whichever uses less storage.
- Annotations
- @Since("2.2.0")
- def compressedRowMajor: Matrix
Returns a matrix in dense or sparse row major format, whichever uses less storage.
Returns a matrix in dense or sparse row major format, whichever uses less storage.
- Annotations
- @Since("2.2.0")
- final def eq(arg0: AnyRef): Boolean
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- def equals(arg0: AnyRef): Boolean
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- final def getClass(): Class[_ <: AnyRef]
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- @IntrinsicCandidate() @native()
- def hashCode(): Int
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- @IntrinsicCandidate() @native()
- final def isInstanceOf[T0]: Boolean
- Definition Classes
- Any
- val isTransposed: Boolean
Flag that keeps track whether the matrix is transposed or not.
Flag that keeps track whether the matrix is transposed or not. False by default.
- Annotations
- @Since("2.0.0")
- def multiply(y: Vector): DenseVector
Convenience method for
Matrix
-Vector
multiplication.Convenience method for
Matrix
-Vector
multiplication.- Annotations
- @Since("2.0.0")
- def multiply(y: DenseVector): DenseVector
Convenience method for
Matrix
-DenseVector
multiplication.Convenience method for
Matrix
-DenseVector
multiplication. For binary compatibility.- Annotations
- @Since("2.0.0")
- def multiply(y: DenseMatrix): DenseMatrix
Convenience method for
Matrix
-DenseMatrix
multiplication.Convenience method for
Matrix
-DenseMatrix
multiplication.- Annotations
- @Since("2.0.0")
- final def ne(arg0: AnyRef): Boolean
- Definition Classes
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- final def notify(): Unit
- Definition Classes
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- @IntrinsicCandidate() @native()
- final def notifyAll(): Unit
- Definition Classes
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- @IntrinsicCandidate() @native()
- def rowIter: Iterator[Vector]
Returns an iterator of row vectors.
Returns an iterator of row vectors. This operation could be expensive, depending on the underlying storage.
- Annotations
- @Since("2.0.0")
- final def synchronized[T0](arg0: => T0): T0
- Definition Classes
- AnyRef
- def toArray: Array[Double]
Converts to a dense array in column major.
Converts to a dense array in column major.
- Annotations
- @Since("2.0.0")
- def toDense: DenseMatrix
Converts this matrix to a dense matrix while maintaining the layout of the current matrix.
Converts this matrix to a dense matrix while maintaining the layout of the current matrix.
- Annotations
- @Since("2.2.0")
- def toDenseColMajor: DenseMatrix
Converts this matrix to a dense matrix in column major order.
Converts this matrix to a dense matrix in column major order.
- Annotations
- @Since("2.2.0")
- def toDenseRowMajor: DenseMatrix
Converts this matrix to a dense matrix in row major order.
Converts this matrix to a dense matrix in row major order.
- Annotations
- @Since("2.2.0")
- def toSparse: SparseMatrix
Converts this matrix to a sparse matrix while maintaining the layout of the current matrix.
Converts this matrix to a sparse matrix while maintaining the layout of the current matrix.
- Annotations
- @Since("2.2.0")
- def toSparseColMajor: SparseMatrix
Converts this matrix to a sparse matrix in column major order.
Converts this matrix to a sparse matrix in column major order.
- Annotations
- @Since("2.2.0")
- def toSparseRowMajor: SparseMatrix
Converts this matrix to a sparse matrix in row major order.
Converts this matrix to a sparse matrix in row major order.
- Annotations
- @Since("2.2.0")
- def toString(maxLines: Int, maxLineWidth: Int): String
A human readable representation of the matrix with maximum lines and width
A human readable representation of the matrix with maximum lines and width
- Annotations
- @Since("2.0.0")
- def toString(): String
A human readable representation of the matrix
A human readable representation of the matrix
- Definition Classes
- Matrix → AnyRef → Any
- final def wait(arg0: Long, arg1: Int): Unit
- Definition Classes
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- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long): Unit
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- @throws(classOf[java.lang.InterruptedException]) @native()
- final def wait(): Unit
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- @throws(classOf[java.lang.InterruptedException])
Deprecated Value Members
- def finalize(): Unit
- Attributes
- protected[lang]
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- @throws(classOf[java.lang.Throwable]) @Deprecated
- Deprecated
(Since version 9)