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#

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

>>> import deeptrack as dt

Start by creating a pipeline using Multiply: >>> pipeline = dt.Value([1, 2, 3]) >> dt.Multiply(value=5) >>> pipeline.resolve() [5, 10, 15]

Alternatively, this pipeline can be created using: >>> pipeline = dt.Value([1, 2, 3]) * 5

Or: >>> pipeline = 5 * dt.Value([1, 2, 3])

Or, more explicitly: >>> input_value = dt.Value([1, 2, 3]) >>> mul_feature = dt.Multiply(value=5) >>> pipeline = mul_feature(input_value)