leaderbot.models.Davidson.rank

Davidson.rank()

Rank competitors based on their scores.

Returns:

rnknp.ndarray

A 1D array of the size n_agents, containing the zero-based indices that rank agents from the higher to lowest scores.

Raises:

RuntimeError

If the model is not trained before calling this method.

See also

leaderboard

map_distance

Examples

>>> from leaderbot.data import load
>>> from leaderbot.models import Davidson

>>> # Create a model
>>> data = load()
>>> model = Davidson(data)

>>> # Train the model
>>> model.train()

>>> # Leaderboard rank and plot
>>> rnk = model.rank()