def learnCategories(sequence):
sampler = DP.sampleDPMM(
[[i] for i in sequence], np.zeros(len(sequence)), 5.0, GaussNIX.GaussianNIXModel, Clusters.modelParameters
)
# assignments = sampler.wangSUGS()
assignments = sampler.gibbs()
return assignments
def learnCategoriesVanilla(sequence):
sampler = DP.sampleDPMM([[i] for i in sequence], np.zeros(len(sequence)), 3.0, Gauss.GaussGauss, DP.modelParameters)
# assignments = sampler.wangSUGS()
assignments = sampler.gibbs()
return assignments
