Commit 55355c90 authored by Tiago Peixoto's avatar Tiago Peixoto

Small documentation fixes

parent de0cf806
...@@ -21,7 +21,7 @@ network of American football teams, which we load from the ...@@ -21,7 +21,7 @@ network of American football teams, which we load from the
os.chdir("demos/inference") os.chdir("demos/inference")
except FileNotFoundError: except FileNotFoundError:
pass pass
gt.seed_rng(7) gt.seed_rng(8)
.. testcode:: football .. testcode:: football
......
...@@ -191,9 +191,9 @@ Which yields the following output: ...@@ -191,9 +191,9 @@ Which yields the following output:
.. testoutput:: measured .. testoutput:: measured
Posterior probability of edge (11, 36): 0.890889... Posterior probability of edge (11, 36): 0.742674...
Posterior probability of non-edge (15, 73): 0.056005... Posterior probability of non-edge (15, 73): 0.020702...
Estimated average local clustering: 0.572758 ± 0.003998... Estimated average local clustering: 0.572384 ± 0.003466...
We have a successful reconstruction, where both ambiguous adjacency We have a successful reconstruction, where both ambiguous adjacency
matrix entries are correctly recovered. The value for the average matrix entries are correctly recovered. The value for the average
...@@ -312,9 +312,9 @@ Which yields: ...@@ -312,9 +312,9 @@ Which yields:
.. testoutput:: measured .. testoutput:: measured
Posterior probability of edge (11, 36): 0.967896... Posterior probability of edge (11, 36): 0.839483...
Posterior probability of non-edge (15, 73): 0.038703... Posterior probability of non-edge (15, 73): 0.061106...
Estimated average local clustering: 0.572129 ± 0.005409... Estimated average local clustering: 0.572476 ± 0.004370...
The results are very similar to the ones obtained with the uniform model The results are very similar to the ones obtained with the uniform model
in this case, but can be quite different in situations where a large in this case, but can be quite different in situations where a large
...@@ -441,9 +441,9 @@ The above yields the output: ...@@ -441,9 +441,9 @@ The above yields the output:
.. testoutput:: uncertain .. testoutput:: uncertain
Posterior probability of edge (11, 36): 0.951195... Posterior probability of edge (11, 36): 0.891889...
Posterior probability of non-edge (15, 73): 0.020702... Posterior probability of non-edge (15, 73): 0.026002...
Estimated average local clustering: 0.538731 ± 0.017645... Estimated average local clustering: 0.544468 ± 0.021562...
The reconstruction is accurate, despite the two ambiguous entries having The reconstruction is accurate, despite the two ambiguous entries having
the same measurement probability. The reconstructed network is visualized below. the same measurement probability. The reconstructed network is visualized below.
......
...@@ -143,8 +143,8 @@ The reconstruction can accurately recover the hidden network and the infection p ...@@ -143,8 +143,8 @@ The reconstruction can accurately recover the hidden network and the infection p
.. testoutput:: dynamics .. testoutput:: dynamics
Posterior similarity: 0.978108... Posterior similarity: 0.978091...
Inferred infection probability: 0.687213 ± 0.054126 Inferred infection probability: 0.68809 ± 0.054207
The figure below shows the reconstructed network and the inferred community structure. The figure below shows the reconstructed network and the inferred community structure.
......
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