Zero

class probnum.functions.Zero(input_shape, output_shape=())

Bases: Function

Zero mean function.

Attributes Summary

input_ndim	Syntactic sugar for len(input_shape).
input_shape	Shape of the function's input.
output_ndim	Syntactic sugar for len(output_shape).
output_shape	Shape of the function's output.

Methods Summary

__call__(x)

Evaluate the function at a given input.

Attributes Documentation

Parameters:

• input_shape (ShapeLike) –

• output_shape (ShapeLike) –

input_ndim

Syntactic sugar for len(input_shape).

input_shape

Shape of the function’s input.

For a scalar-input function, this is an empty tuple.

output_ndim

Syntactic sugar for len(output_shape).

output_shape

Shape of the function’s output.

For scalar-valued function, this is an empty tuple.

Methods Documentation

__call__(x)

Evaluate the function at a given input.

The function is vectorized over the batch shape of the input.

Parameters:

x (ArrayLike) – shape= batch_shape + input_shape – (Batch of) input(s) at which to evaluate the function.

Returns:

shape= batch_shape + output_shape – Function evaluated at the given (batch of) input(s).

Return type:

fx

Raises:

ValueError – If the shape of x does not match input_shape along its last dimensions.