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In plot_rebit_posterior, the default setting is to call plot_cov_ellipse, which uses np.linalg.eigh to find eigenvectors of the covariance. This can return vecs with complex entries, which then fail on line 146 of plotting_tools.py:
In
plot_rebit_posterior
, the default setting is to callplot_cov_ellipse
, which usesnp.linalg.eigh
to find eigenvectors of the covariance. This can returnvecs
with complex entries, which then fail on line 146 ofplotting_tools.py
:Should it just take the real part? as in:
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