Dawid-skene

Python (and numpy) implementation of the Dawid and Skene (1979).

the test for running experiments in the paper.

$ pytest

How to use

from dawid_skene_model import list2array
from dawid_skene_model import DawidSkeneModel

class_num = 4
dataset = [
        [[0, 0, 0], [0], [0], [0], [0]],
        [[2, 2, 2], [3], [2], [2], [3]],
        [[0, 0, 1], [1], [0], [1], [1]]
]
dataset_tensor = list2array(class_num, dataset_list)
model = DawidSkeneModel(class_num, max_iter=45, tolerance=10e-100)
marginal_predict, error_rates, worker_reliability, predict_label = model.run(dataset_tensor)

References:

• Dawid and Skene (1979). Maximum Likelihood Estimation of Observer Error-Rates Using the EM Algorithm. Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 28, No. 1, pp. 20-28.
• The implementation is based dallascard/dawid_skene