

def suggest(self, history, searchspace, max_tries=5):
    if (not GPRegression):
        raise ImportError('No module named GPy')
    if (not minimize):
        raise ImportError('No module named SciPy')
    if (len(history) < self.seeds):
        return RandomSearch().suggest(history, searchspace)
    self.n_dims = searchspace.n_dims
    (X, Y, V, ignore) = self._get_data(history, searchspace)
    self._create_kernel(V)
    self._fit_model(X, Y)
    suggestion = self._optimize()
    if ((suggestion in ignore) or self._is_within(suggestion, X)):
        return RandomSearch().suggest(history, searchspace)
    return self._from_gp(suggestion, searchspace)

dataset/ETHPy150Open msmbuilder/osprey/osprey/strategies.py GP.suggest/original