FutureUtilityRegressor

class negmas.modeling.future.FutureUtilityRegressor(regressor_factory=<class 'sklearn.gaussian_process._gpr.GaussianProcessRegressor'>, **kwargs)[source]

Bases: object

Represents a regressor for own-utility for the future of the negotiation.

Remarks:
  • We assume that the negotiation goes from time 0 to 1 (relative_time).

Methods Summary

fit(times, utils)

predict_time(utils)

predict_time_prob(utils[, return_cov])

predict_utility(times)

predict_utility_prob(times[, return_cov])

Methods Documentation

fit(times, utils)negmas.modeling.future.FutureUtilityRegressor[source]
predict_time(utils)numpy.ndarray[source]
predict_time_prob(utils, return_cov=False)numpy.ndarray[source]
predict_utility(times)numpy.ndarray[source]
predict_utility_prob(times, return_cov=False)numpy.ndarray[source]