peppr.RandomSelector

class peppr.RandomSelector(k: int, seed: int = 42)

Selector that returns the best value from k randomly chosen values. Using this selector is equivalent to using the TopSelector with random confidence values.

Parameters:

kint

The best value is chosen from k randomly chosen predictions.

seedint, optional

The seed for the random number generator. Defaults to 42.

select(values: ndarray, smaller_is_better: bool) → float

Select the representative metric value from a set of poses.

The meaning of ‘representative’ depends on the specific Selector subclass.

ABSTRACT: Must be overridden by subclasses.

Parameters:

valuesndarray, shape=(n,), dtype=float

The metric values to select from. May contain NaN values. The values are sorted from highest to lowest confidence.

smaller_is_betterbool

Whether the smaller value is considered a better prediction.

Returns:

float

The selected value.