pyhrf.jde.nrl.ar module¶
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class
pyhrf.jde.nrl.ar.
NRLARSampler
(do_sampling=True, val_ini=None, contrasts={}, do_label_sampling=True, use_true_nrls=False, use_true_labels=False, labels_ini=None, ppm_proba_threshold=0.05, ppm_value_threshold=0, ppm_value_multi_threshold=array([ 0., 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1., 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2., 2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3., 3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4. ]), mean_activation_threshold=4, rescale_results=False, wip_variance_computation=False)¶ Bases:
pyhrf.jde.nrl.bigaussian.NRLSampler
Class handling the Gibbs sampling of Neural Response Levels according to Salima Makni (ISBI 2006). Inherits the abstract class C{GibbsSamplerVariable}.
#TODO : comment attributes
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cleanMemory
()¶
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computeMeanVarClassApost
(j, variables)¶
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computeVarYTilde
(varXh, varMBYPl)¶
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linkToData
(dataInput)¶
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sampleNextAlt
(variables)¶
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sampleNextInternal
(variables)¶
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samplingWarmUp
(variables)¶ #TODO : comment
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