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| author | jeanpouget-abadie <jean.pougetabadie@gmail.com> | 2015-02-01 19:21:59 -0500 |
|---|---|---|
| committer | jeanpouget-abadie <jean.pougetabadie@gmail.com> | 2015-02-01 20:02:06 -0500 |
| commit | 0482865b3fc128964584db1af66be9fb0783a4af (patch) | |
| tree | 0034bbe5184c11f874cd14f30ceed01fcb8f776d /src/algorithms.py | |
| parent | c92e95095b17fdbceb980c0edbf21779024fa5e3 (diff) | |
| download | cascades-0482865b3fc128964584db1af66be9fb0783a4af.tar.gz | |
small changes to optimization functions
Diffstat (limited to 'src/algorithms.py')
| -rw-r--r-- | src/algorithms.py | 9 |
1 files changed, 7 insertions, 2 deletions
diff --git a/src/algorithms.py b/src/algorithms.py index c880a7b..29de661 100644 --- a/src/algorithms.py +++ b/src/algorithms.py @@ -39,6 +39,11 @@ def recovery_l1obj_l2constraint(G, cascades, floor_cstt, passed_function, """ G_hat = cascade_creation.InfluenceGraph(max_proba=None) G_hat.add_nodes_from(G.nodes()) + + #### + print(G.nodes()) + #### + for node in G_hat.nodes(): print(node) try: @@ -85,10 +90,10 @@ def test(): unit test """ G = cascade_creation.InfluenceGraph(max_proba = .8) - G.erdos_init(n = 100, p = .05) + G.erdos_init(n = 10, p = .2) import time t0 = time.time() - A = cascade_creation.generate_cascades(G, .2, 10000) + A = cascade_creation.generate_cascades(G, .2, 1000) if 1: G_hat = greedy_prediction(G, A) if 0: |
