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@@ -8,10 +8,10 @@ x = np.load("votes_distrib.npz")
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alphas = x["alphas"].mean(axis=0)
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def prob(p):
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- return dirichlet.logpdf(quantiles, alphas)
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+ return dirichlet.pdf(p, alphas)
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figure, tax = ternary.figure(scale=scale)
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-tax.heatmapf(shannon_entropy, boundary=True, style="triangular")
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+tax.heatmapf(prob, boundary=True, style="triangular")
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tax.boundary(linewidth=2.0)
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tax.set_title("Shannon Entropy Heatmap")
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