sealed trait Matrix extends Serializable
Trait for a local matrix.
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- @Since( "2.0.0" )
- Source
- Matrices.scala
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abstract
def
apply(i: Int, j: Int): Double
Gets the (i, j)-th element.
Gets the (i, j)-th element.
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- @Since( "2.0.0" )
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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.
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- @Since( "2.0.0" )
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abstract
def
copy: Matrix
Get a deep copy of the matrix.
Get a deep copy of the matrix.
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- @Since( "2.0.0" )
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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
.
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- @Since( "2.2.0" )
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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.
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- @Since( "2.0.0" )
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abstract
def
numCols: Int
Number of columns.
Number of columns.
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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" )
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abstract
def
numRows: Int
Number of rows.
Number of rows.
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- @Since( "2.0.0" )
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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
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final
def
!=(arg0: Any): Boolean
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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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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.
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- @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.
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- @Since( "2.2.0" )
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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.
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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def
finalize(): Unit
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final
def
getClass(): Class[_]
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def
hashCode(): Int
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final
def
isInstanceOf[T0]: Boolean
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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.
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- @Since( "2.0.0" )
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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" )
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def
multiply(y: DenseMatrix): DenseMatrix
Convenience method for
Matrix
-DenseMatrix
multiplication.Convenience method for
Matrix
-DenseMatrix
multiplication.- Annotations
- @Since( "2.0.0" )
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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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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.
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- @Since( "2.0.0" )
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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def
toArray: Array[Double]
Converts to a dense array in column major.
Converts to a dense array in column major.
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- @Since( "2.0.0" )
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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.
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- @Since( "2.2.0" )
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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.
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- @Since( "2.2.0" )
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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.
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- @Since( "2.2.0" )
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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.
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- @Since( "2.2.0" )
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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.
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- @Since( "2.2.0" )
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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.
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- @Since( "2.2.0" )
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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
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- Matrix → AnyRef → Any
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final
def
wait(): Unit
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
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