Majabigwaduce
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Majabigwaduce/com.phasmid.majabigwaduce/com.phasmid.majabigwaduce.matrix/Matrix1

Matrix1

com.phasmid.majabigwaduce.matrix.Matrix1
See theMatrix1 companion object
case class Matrix1[T](rows: Seq[T])(implicit evidence$1: Numeric[T], atMost: Duration) extends BaseMatrix[T]

Case class to represent a one-dimensional matrix.

Type parameters

T

the underlying type of this matrix

Value parameters

atMost

duration of total MapReduce time

rows

the elements of type T

Attributes

Companion
object
Graph
Supertypes
trait Serializable
trait Product
trait Equals
class BaseMatrix[T]
trait Matrix[T]
class Object
trait Matchable
class Any
Show all

Members list

Value members

Inherited methods

protected def forRows[Z](g: T => Z)(implicit evidence$1: Monoid[Z], ev: Monoid[T], atMost: Duration, cutoff: Dimensions, context: DDContext): Seq[Z]

Method to process the rows of this Matrix. If the size is less than the cutoff, then we do the operation in the current thread; otherwise we do it using MapReduce.

Method to process the rows of this Matrix. If the size is less than the cutoff, then we do the operation in the current thread; otherwise we do it using MapReduce.

Type parameters

Z

the underlying type of the result

Value parameters

atMost

duration of total MapReduce time

context

the DDContext in which any DataDefinition is evaluated (by default, DDContext.default)

cutoff

the maximum size we should implement in current thread

ev

evidence of Monoid[X]

g

a function which takes an X and yields a Z

Attributes

Returns

a Matrix which is the product of this and m

Inherited from:
BaseMatrix
def product[Y, Z](ys: Seq[Y])(implicit evidence$1: Numeric[Y], evidence$2: Product[Z], evidence$3: Monoid[Z], evidence$4: Numeric[Z], ev: Monoid[T], atMost: Duration, cutoff: Dimensions, context: DDContext): Matrix[Z]

Determine the product of this Matrix with a sequence of Y objects

Determine the product of this Matrix with a sequence of Y objects

Type parameters

Y

the type of the multiplicand rows

Z

the underlying type of the result

Value parameters

atMost

duration of total MapReduce time

context

the DDContext in which any DataDefinition is evaluated (by default, DDContext.default)

cutoff

the maximum size we should implement in current thread

ev

evidence of Monoid[X]

ys

the rows of Y to be multiplied with this Matrix

Attributes

Returns

a Matrix which is the product of this and m

Inherited from:
Matrix
def product[Y, Z](m: Matrix[Y])(implicit evidence$1: Numeric[Y], evidence$2: Product[Z], evidence$3: Monoid[Z], evidence$4: Numeric[Z], ev: Monoid[T], atMost: Duration, cutoff: Dimensions, context: DDContext): Matrix[Z]

Determine the product of this Matrix with m

Determine the product of this Matrix with m

Type parameters

Y

the underlying type of m

Z

the underlying type of the result

Value parameters

atMost

duration of total MapReduce time

context

the DDContext in which any DataDefinition is evaluated (by default, DDContext.default)

cutoff

the maximum size we should implement in current thread

ev

evidence of Monoid[X]

m

the multiplicand

Attributes

Returns

a Matrix which is the product of this and m

Inherited from:
Matrix
def productElementNames: Iterator[String]

An iterator over the names of all the elements of this product.

An iterator over the names of all the elements of this product.

Attributes

Inherited from:
Product
def productIterator: Iterator[Any]

An iterator over all the elements of this product.

An iterator over all the elements of this product.

Attributes

Returns

in the default implementation, an Iterator[Any]

Inherited from:
Product
def size: Dimensions

The number of rows. This method may be overridden

The number of rows. This method may be overridden

Attributes

Returns

a sequence of one integer.

Inherited from:
BaseMatrix
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