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| author | jeanpouget-abadie <jean.pougetabadie@gmail.com> | 2015-02-02 14:08:03 -0500 |
|---|---|---|
| committer | jeanpouget-abadie <jean.pougetabadie@gmail.com> | 2015-02-02 14:08:03 -0500 |
| commit | c883cb7ff6c7536d8dc4ea15dfc733bfbb98693c (patch) | |
| tree | 11f42659f8c36a8dea905cd64ff4b6454118a173 /src/make_plots.py | |
| parent | 873ce616a9d21d670f15ab7b5ae61cc143dccc80 (diff) | |
| download | cascades-c883cb7ff6c7536d8dc4ea15dfc733bfbb98693c.tar.gz | |
earlier version
Diffstat (limited to 'src/make_plots.py')
| -rw-r--r-- | src/make_plots.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/src/make_plots.py b/src/make_plots.py index 60c2292..c69673c 100644 --- a/src/make_plots.py +++ b/src/make_plots.py @@ -34,10 +34,10 @@ def test(): G = cascade_creation.InfluenceGraph(max_proba=.8) G.erdos_init(n=20, p=.2) print(G.mat) - A = cascade_creation.generate_cascades(G, p_init=.1, n_cascades=1000) + A = cascade_creation.generate_cascades(G, p_init=.1, n_cascades=100) G_hat = algorithms.recovery_l1obj_l2constraint(G, A, passed_function=convex_optimization.sparse_recovery, - floor_cstt=.1, lbda=20) + floor_cstt=.1, lbda=1) algorithms.correctness_measure(G, G_hat, print_values=True) if __name__=="__main__": |