Matrix (Spark 3.5.3 JavaDoc)

All Superinterfaces:

java.io.Serializable

All Known Implementing Classes:

DenseMatrix, SparseMatrix
```
public interface Matrix
extends scala.Serializable
```
Trait for a local matrix.

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method and Description
`double`	`apply(int i, int j)` Gets the (i, j)-th element.
`breeze.linalg.Matrix<Object>`	`asBreeze()` Converts to a breeze matrix.
`Matrix`	`asML()` Convert this matrix to the new mllib-local representation.
`scala.collection.Iterator<Vector>`	`colIter()` Returns an iterator of column vectors.
`Matrix`	`copy()` Get a deep copy of the matrix.
`void`	`foreachActive(scala.Function3<Object,Object,Object,scala.runtime.BoxedUnit> f)` Applies a function `f` to all the active elements of dense and sparse matrix.
`int`	`index(int i, int j)` Return the index for the (i, j)-th element in the backing array.
`boolean`	`isTransposed()` Flag that keeps track whether the matrix is transposed or not.
`Matrix`	`map(scala.Function1<Object,Object> f)` Map the values of this matrix using a function.
`DenseMatrix`	`multiply(DenseMatrix y)` Convenience method for `Matrix`-`DenseMatrix` multiplication.
`DenseVector`	`multiply(DenseVector y)` Convenience method for `Matrix`-`DenseVector` multiplication.
`DenseVector`	`multiply(Vector y)` Convenience method for `Matrix`-`Vector` multiplication.
`int`	`numActives()` Find the number of values stored explicitly.
`int`	`numCols()` Number of columns.
`int`	`numNonzeros()` Find the number of non-zero active values.
`int`	`numRows()` Number of rows.
`scala.collection.Iterator<Vector>`	`rowIter()` Returns an iterator of row vectors.
`double[]`	`toArray()` Converts to a dense array in column major.
`String`	`toString()` A human readable representation of the matrix
`String`	`toString(int maxLines, int maxLineWidth)` A human readable representation of the matrix with maximum lines and width
`Matrix`	`transpose()` Transpose the Matrix.
`Matrix`	`update(scala.Function1<Object,Object> f)` Update all the values of this matrix using the function f.
`void`	`update(int i, int j, double v)` Update element at (i, j)

- Method Detail
  - apply
```
double apply(int i,
             int j)
```
    Gets the (i, j)-th element.
  - asBreeze
```
breeze.linalg.Matrix<Object> asBreeze()
```
    Converts to a breeze matrix.
  - asML
```
Matrix asML()
```
    Convert this matrix to the new mllib-local representation. This does NOT copy the data; it copies references.
    
    Returns:
    
    (undocumented)
  - colIter
```
scala.collection.Iterator<Vector> colIter()
```
    Returns an iterator of column vectors. This operation could be expensive, depending on the underlying storage.
    
    Returns:
    
    (undocumented)
  - copy
```
Matrix copy()
```
    Get a deep copy of the matrix.
  - foreachActive
```
void foreachActive(scala.Function3<Object,Object,Object,scala.runtime.BoxedUnit> f)
```
    Applies a function f to all the active elements of dense and sparse matrix. The ordering of the elements are not defined.
    
    Parameters:
    
    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 type Double.
  - index
```
int index(int i,
          int j)
```
    Return the index for the (i, j)-th element in the backing array.
  - isTransposed
```
boolean isTransposed()
```
    Flag that keeps track whether the matrix is transposed or not. False by default.
  - map
```
Matrix map(scala.Function1<Object,Object> f)
```
    Map the values of this matrix using a function. Generates a new matrix. Performs the function on only the backing array. For example, an operation such as addition or subtraction will only be performed on the non-zero values in a SparseMatrix.
    
    Parameters:
    
    f - (undocumented)
    
    Returns:
    
    (undocumented)
  - multiply
```
DenseMatrix multiply(DenseMatrix y)
```
    Convenience method for Matrix-DenseMatrix multiplication.
    
    Parameters:
    
    y - (undocumented)
    
    Returns:
    
    (undocumented)
  - multiply
```
DenseVector multiply(DenseVector y)
```
    Convenience method for Matrix-DenseVector multiplication. For binary compatibility.
    
    Parameters:
    
    y - (undocumented)
    
    Returns:
    
    (undocumented)
  - multiply
```
DenseVector multiply(Vector y)
```
    Convenience method for Matrix-Vector multiplication.
    
    Parameters:
    
    y - (undocumented)
    
    Returns:
    
    (undocumented)
  - numActives
```
int numActives()
```
    Find the number of values stored explicitly. These values can be zero as well.
    
    Returns:
    
    (undocumented)
  - numCols
```
int numCols()
```
    Number of columns.
  - numNonzeros
```
int numNonzeros()
```
    Find the number of non-zero active values.
    
    Returns:
    
    (undocumented)
  - numRows
```
int numRows()
```
    Number of rows.
  - rowIter
```
scala.collection.Iterator<Vector> rowIter()
```
    Returns an iterator of row vectors. This operation could be expensive, depending on the underlying storage.
    
    Returns:
    
    (undocumented)
  - toArray
```
double[] toArray()
```
    Converts to a dense array in column major.
  - toString
```
String toString()
```
    A human readable representation of the matrix
    
    Overrides:
    
    toString in class Object
  - toString
```
String toString(int maxLines,
                int maxLineWidth)
```
    A human readable representation of the matrix with maximum lines and width
  - transpose
```
Matrix transpose()
```
    Transpose the Matrix. Returns a new Matrix instance sharing the same underlying data.
    
    Returns:
    
    (undocumented)
  - update
```
void update(int i,
            int j,
            double v)
```
    Update element at (i, j)
  - update
```
Matrix update(scala.Function1<Object,Object> f)
```
    Update all the values of this matrix using the function f. Performed in-place on the backing array. For example, an operation such as addition or subtraction will only be performed on the non-zero values in a SparseMatrix.
    
    Parameters:
    
    f - (undocumented)
    
    Returns:
    
    (undocumented)

Interface Matrix

Method Summary

Method Detail

apply

asBreeze

asML

colIter

copy

foreachActive

index

isTransposed

map

multiply

multiply

multiply

numActives

numCols

numNonzeros

numRows

rowIter

toArray

toString

toString

transpose

update

update