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| author | jeanpouget-abadie <jean.pougetabadie@gmail.com> | 2014-12-07 17:33:49 -0500 |
|---|---|---|
| committer | jeanpouget-abadie <jean.pougetabadie@gmail.com> | 2014-12-07 17:33:49 -0500 |
| commit | 6470fd53a89102b365aa1c0c288acf0076115a97 (patch) | |
| tree | a30bbd93047172dbe846e870b620ca6e119d52d7 /src/make_plots.py | |
| parent | 9c2d0453e83d7a2472a02bcc09fc7b2a5c79fc6a (diff) | |
| download | cascades-6470fd53a89102b365aa1c0c288acf0076115a97.tar.gz | |
related works
Diffstat (limited to 'src/make_plots.py')
| -rw-r--r-- | src/make_plots.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/src/make_plots.py b/src/make_plots.py index 905c731..5a61c10 100644 --- a/src/make_plots.py +++ b/src/make_plots.py @@ -40,7 +40,7 @@ def compare_greedy_and_lagrange_cs284r(): """ G = cascade_creation.InfluenceGraph(max_proba = .8) G.import_from_file("../datasets/subset_facebook_SNAPnormalize.txt") - A = cascade_creation.generate_cascades(G, p_init=.05, n_cascades=100) + A = cascade_creation.generate_cascades(G, p_init=.05, n_cascades=1000) #Greedy G_hat = algorithms.greedy_prediction(G, A) |
