Multiply#

class deeptrack.features.Multiply(value: float | Callable[[...], float] = 0, **kwargs: Dict[str, Any])#

Multiply the input by a value.

This feature performs element-wise multiplication (*) of the input.

Parameters#

valuePropertyLike[int or float], optional: The value to multiply the input. Defaults to 0.
**kwargsAny: Additional keyword arguments passed to the parent constructor.

In this example, each element in the input array is multiplied by 5.

Start by creating a pipeline using Multiply:

>>> from deeptrack.features import Multiply, Value

>>> pipeline = Value([1, 2, 3]) >> Multiply(value=5)
>>> pipeline.resolve()
[5, 10, 15]

Equivalently, this pipeline can be created using:

>>> pipeline = Value([1, 2, 3]) * 5

>>> pipeline = 5 * Value([1, 2, 3])

Or, most explicitly:

>>> input_value = Value([1, 2, 3])
>>> sub_feature = Multiply(value=5)
>>> pipeline = sub_feature(input_value)