<jupyter_start><jupyter_text>Cluster First Impressions Data<jupyter_code>ds = AFLW(stage='test', augment=False, numpy=False)
X = ds.get_multinomial_arrays()['Trustworthiness']
for n_classes in range(7,8):
    for trial in range(1):
        Metric = VolcanoMetricMultinomialEM(n_classes=n_classes)
        Metric.train(X, verbose=False)
        Metric.plot_prior()
        Metric.plot_posterior()<jupyter_output><empty_output><jupyter_text>Cluster PA Data<jupyter_code>ds = PA(dataset='3')
X = ds.get_multinomial_array()
for n_classes in range(2, 3):
    for trial in range(1):
        Metric = VolcanoMetricMultinomialEM(n_classes=n_classes)
        Metric.train(X, verbose=False)
        Metric.plot_prior()
        Metric.plot_posterior()<jupyter_output><empty_output>
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