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| author | jeanpouget-abadie <jean.pougetabadie@gmail.com> | 2015-02-05 16:40:10 -0500 |
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| committer | jeanpouget-abadie <jean.pougetabadie@gmail.com> | 2015-02-05 16:40:10 -0500 |
| commit | 7f07f11fb307909dc68bb679b0370b3f06866dc8 (patch) | |
| tree | 6480b2756f456dca578658a96d307265e6076b32 /src/make_plots.py | |
| parent | 5d70de2deb5f7e8c0184c816a6d9da8d2d7d309f (diff) | |
| download | cascades-7f07f11fb307909dc68bb679b0370b3f06866dc8.tar.gz | |
adding citations to intro
Diffstat (limited to 'src/make_plots.py')
| -rw-r--r-- | src/make_plots.py | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/src/make_plots.py b/src/make_plots.py index 792e325..840cc94 100644 --- a/src/make_plots.py +++ b/src/make_plots.py @@ -197,13 +197,13 @@ def plot_ROC_curve(figure_name): if __name__=="__main__": - if 0: + if 1: compute_graph("../datasets/watts_strogatz_300_30_point3.txt", - n_cascades=100, lbda=.01, min_proba=.2, max_proba=.7, + n_cascades=300, lbda=.01, min_proba=.2, max_proba=.7, passed_function= #convex_optimization.sparse_recovery) #algorithms.greedy_prediction) - convex_optimization.sparse_recovery) + convex_optimization.sparse_recovery, p_init=.15) if 0: compute_graph("../datasets/powerlaw_200_30_point3.txt", n_cascades=200, lbda=.01, min_proba=.2, max_proba=.7, @@ -218,7 +218,7 @@ if __name__=="__main__": convex_optimization.sparse_recovery) #algorithms.greedy_prediction) #convex_optimization.type_lasso) - if 1: + if 0: compute_graph("../datasets/kronecker_graph_256_cross.txt", n_cascades=50, lbda=0., min_proba=.2, max_proba=.7, passed_function= |