Zero¶
- class probnum.randprocs.mean_fns.Zero(input_shape, output_shape=())[source]¶
Bases:
probnum.Function
Zero mean function.
Attributes Summary
Syntactic sugar for
len(input_shape)
.Shape of the function's input.
Shape of the function's output.
Methods Summary
__call__
(x)Evaluate the function at a given input.
Attributes Documentation
- input_shape¶
Shape of the function’s input.
For a scalar-input function, this is an empty tuple.
- 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 (
Union
[_SupportsArray
[dtype
],_NestedSequence
[_SupportsArray
[dtype
]],bool
,int
,float
,complex
,str
,bytes
,_NestedSequence
[Union
[bool
,int
,float
,complex
,str
,bytes
]]]) – 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 matchinput_shape
along its last dimensions.