org.tensorics.core.tensor.lang

Class TensorSupport<V>

java.lang.Object

org.tensorics.core.scalar.lang.ScalarSupport<V>

org.tensorics.core.iterable.lang.ScalarIterableSupport<V>

org.tensorics.core.tensor.lang.TensorSupport<V>

Type Parameters:

V - the type of the elements of the tensor(ic)

All Implemented Interfaces:

BasicOperationSupport<V>

public class TensorSupport<V>
extends ScalarIterableSupport<V>

Extends the usage of fields by operations defined on tensors

Constructor Summary

Constructors

Constructor and Description
TensorSupport(Environment<V> environment)

Method Summary

Modifier and Type	Method and Description
<C> OngoingTensorOperation<C,V>	calculate(Tensor<V> tensoric) Allows to perform calculation on given tensoric.
Tensor<V>	elementInverseOf(Tensor<V> tensor)
<S,R> Tensor<R>	elementwise(BinaryFunction<S,R> operation, Tensor<S> left, Tensor<S> right)
<S> Tensor<S>	elementwise(BinaryOperation<S> operation, Tensor<S> left, Tensor<S> right)
Tensor<V>	negativeOf(Tensor<V> tensor)
Tensor<V>	ones(Shape shape) returns a IDENTITY value Tensor for given Shape.
OngoingFieldAwareResamplingStart<V>	resample(Tensor<V> tensor) Starting clause for a fluent expression to resample a tensor, using structural resamplings (e.g.
Tensor<V>	zeros(Shape shape) returns a ZERO value Tensor for given Shape.

Methods inherited from class org.tensorics.core.iterable.lang.ScalarIterableSupport

averageOf, rmsOf, sizeOf, stdOf, sumOf, sumOfSquaresOf, varOf

Methods inherited from class org.tensorics.core.scalar.lang.ScalarSupport

absoluteValueOf, calculate, countOf, field, inverseOf, negativeOf, one, squareOf, squareRootOf, testIf, two, zero

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

TensorSupport

public TensorSupport(Environment<V> environment)

Method Detail

calculate

public final <C> OngoingTensorOperation<C,V> calculate(Tensor<V> tensoric)

Allows to perform calculation on given tensoric.

Parameters:

tensoric - to calculate with.

Returns:

expression to calculate.

zeros

public Tensor<V> zeros(Shape shape)

returns a ZERO value Tensor for given Shape.

Parameters:

shape - to use.

Returns:

a Tensor of given Shape filled with 0.0;

ones

public Tensor<V> ones(Shape shape)

returns a IDENTITY value Tensor for given Shape.

Parameters:

shape - to use.

Returns:

a Tensor of given Shape filled with field identities;

elementInverseOf

public Tensor<V> elementInverseOf(Tensor<V> tensor)

Parameters:

tensor - to use.s

Returns:

a Tensor with field inverse values

negativeOf

public Tensor<V> negativeOf(Tensor<V> tensor)

Parameters:

tensor - to use

Returns:

a Tensor of negative values

resample

public OngoingFieldAwareResamplingStart<V> resample(Tensor<V> tensor)

Starting clause for a fluent expression to resample a tensor, using structural resamplings (e.g. repeating), but also field aware resamplings (e.g. linear interpolation). For example:

 
 Tensoric<Double> resampled = resample(aDoubleTensor)
                           .repeat(String.class)
                           .then().linear(Integer.class, Integer::doubleValue)
                           .toTensoric();
 
 

Note: The order of the options is important, as the resampling will be performed in the given order!

For options which do not require a field, see the version in TensorStructurals.resample(Tensor).

Parameters:

tensor - the tensor to be resampled

Returns:

an object to define further the strategy for resampling.

elementwise

public <S> Tensor<S> elementwise(BinaryOperation<S> operation,
                                 Tensor<S> left,
                                 Tensor<S> right)

elementwise

public <S,R> Tensor<R> elementwise(BinaryFunction<S,R> operation,
                                   Tensor<S> left,
                                   Tensor<S> right)