예제 #1
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def add_histogram_sampling_support():
    add_leaf_sampling(Histogram, sample_histogram_node)
예제 #2
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def add_conditional_sampling_support():
    add_leaf_sampling(SupervisedLeaf, sample_supervised_leaf)
    add_node_sampling(SupervisedOr, sample_supervised_or)
예제 #3
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파일: Sampling.py 프로젝트: AmurG/SPFlow
def add_parametric_sampling_support():
    add_leaf_sampling(Gaussian, sample_parametric_node)
    add_leaf_sampling(Gamma, sample_parametric_node)
    add_leaf_sampling(LogNormal, sample_parametric_node)
    add_leaf_sampling(Poisson, sample_parametric_node)
    add_leaf_sampling(Geometric, sample_parametric_node)
    add_leaf_sampling(Exponential, sample_parametric_node)
    add_leaf_sampling(Bernoulli, sample_parametric_node)
    add_leaf_sampling(Categorical, sample_parametric_node)
    add_leaf_sampling(CategoricalDictionary, sample_parametric_node)
예제 #4
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def add_cltree_sampling_support():
    add_leaf_sampling(CLTree, sample_cltree_node)