Matrix<T> class abstract

A matrix.

Implementations

Example

import 'package:calc/calc.dart';

void main() {
  final matrix = Float32Matrix.fromRows([
    [1.0, 2.0],
    [3.0, 4.0],
  ]);
}
Inheritance
Implementers

Constructors

Matrix(TensorShape tensorShape, List<T> _data)

Properties

elements → List<T>
Returns elements as a list.
no setteroverride
hashCode → int
The hash code for this object.
no setterinherited
height → int
no setter
isScalar → bool
Tells whether the tensor is a scalar.
no setterinherited
isSquare → bool
no setter
isZero → bool
Tells whether all elements are zero.
no setterinherited
length → int
Returns number of elements in the tensor.
no setterinherited
runtimeType → Type
A representation of the runtime type of the object.
no setterinherited
tensorShape → TensorShape
Returns shape of the tensor.
final
width → int
no setter

Methods

ceil() → Tensor<T>
Calculates x.ceil() for each element.
inherited
clamp(T lowerLimit, T upperLimit) → Tensor<T>
Calculates x.clamp(lowerLimit, upperLimit) for each element.
inherited
cos() → Tensor<T>
Calculates cos(x) for each element.
inherited
diagonalVector() → Float32Vector
Gets diagonal vector.
div(Tensor<T> right, {bool noNan = false}) → Tensor<T>
Calculates element-wise fraction.
inherited
divScalar(num right, {bool noNan = false, bool swapArguments = false}) → Tensor<T>
Calculates element-wise fraction.
inherited
exp() → Tensor<T>
Calculates exp(x) for each element.
inherited
floor() → Tensor<T>
Calculates x.floor() for each element.
inherited
getFlat(int index) → T
inherited
getXY(int x, int y) → T
Gets matrix element.
log() → Tensor<T>
Calculates log(x) for each element.
inherited
matrixMul(Matrix<T> right) → Matrix<T>
Computes matrix product.
max(Tensor<T> right) → Tensor<T>
Calculates element-wise maximum.
inherited
min(Tensor<T> right) → Tensor<T>
Calculates element-wise minimum.
inherited
mulScalar(num s) → Tensor
Multiplies tensor elements with a scalar.
inherited
noSuchMethod(Invocation invocation) → dynamic
Invoked when a nonexistent method or property is accessed.
inherited
pow(Tensor<T> right) → Tensor<T>
Calculates element-wise power.
inherited
scale(num s) → Tensor
inherited
scaleInverse(num s) → Tensor
inherited
sin() → Tensor<T>
Calculates sin(x) for each element.
inherited
sq() → Tensor<T>
Calculates x * x (square) for each element.
inherited
sqrt() → Tensor<T>
Calculates sqrt(x) (square root) for each element.
inherited
tan() → Tensor<T>
Calculates tan(x) for each element.
inherited
toBuilder({bool copy = true}) → TensorBuilder<T>
Constructs a TensorBuilder that has this tensor.
inherited
toScalar() → T
Returns a scalar when the tensor has only a single element;
inherited
toString() → String
A string representation of this object.
inherited
transpose() → Matrix<T>
Computes transpose.

Operators

operator *(Tensor<T> right) → Matrix<T>
Calculates element-wise product.
override
operator +(Tensor<T> right) → Matrix<T>
Calculates element-wise sum.
override
operator -(Tensor<T> right) → Matrix<T>
Calculates element-wise difference.
override
operator /(Tensor<T> right) → Matrix<T>
A shorthand for div.
override
operator ==(Object other) → bool
The equality operator.
inherited
operator unary-() → Tensor<T>
Calculates scale(-1.0).
inherited