diff options
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 5b9664c..7da3e1e 100644 --- a/src/make_plots.py +++ b/src/make_plots.py @@ -31,7 +31,7 @@ def watts_strogatz(n_cascades, lbda, passed_function): """ Test running time on different algorithms """ - G = cascade_creation.InfluenceGraph(max_proba=1, min_proba=.2) + G = cascade_creation.InfluenceGraph(max_proba=.7, min_proba=.2) G.import_from_file("../datasets/watts_strogatz_500_80_point3.txt") A = cascade_creation.generate_cascades(G, p_init=.05, n_cascades=n_cascades) @@ -40,7 +40,7 @@ def watts_strogatz(n_cascades, lbda, passed_function): else: G_hat = algorithms.recovery_passed_function(G, A, passed_function=passed_function, - floor_cstt=.1, lbda=lbda, n_cascades=1000) + floor_cstt=.1, lbda=lbda, n_cascades=n_cascades) algorithms.correctness_measure(G, G_hat, print_values=True) @@ -58,5 +58,5 @@ def test(): if __name__=="__main__": - watts_strogatz(n_cascades=2000, lbda=.001, passed_function= - algorithms.greedy_prediction) + watts_strogatz(n_cascades=1000, lbda=.001, passed_function= + convex_optimization.sparse_recovery) |