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src/n/i/nipy-0.3.0/nipy/algorithms/statistics/empirical_pvalue.py   nipy(Download)
    * class 3 represents the positive class
    """
    from ..clustering.bgmm import VBGMM
    from ..clustering.gmm import GridDescriptor
 
 
    # instantiate the class and set the priors
    BayesianGMM = VBGMM(nclasses, 1, prior_means, prior_scale,
                        prior_weights, prior_shrinkage, prior_dof)
    BayesianGMM.set_priors(prior_means, prior_weights, prior_scale,