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| author | jeanpouget-abadie <jean.pougetabadie@gmail.com> | 2014-12-01 10:12:59 -0500 |
|---|---|---|
| committer | jeanpouget-abadie <jean.pougetabadie@gmail.com> | 2014-12-01 10:12:59 -0500 |
| commit | b1a6d4397bd1dc784a68987fc645eabe2bbcc8ec (patch) | |
| tree | 4b683937a3c4cb32e75da37174e3c7dc9b1bc924 /jpa_test/algorithms.py | |
| parent | ddbb95cbac65a74016839e253cda39466fa13308 (diff) | |
| download | cascades-b1a6d4397bd1dc784a68987fc645eabe2bbcc8ec.tar.gz | |
small bug fixes
Diffstat (limited to 'jpa_test/algorithms.py')
| -rw-r--r-- | jpa_test/algorithms.py | 4 |
1 files changed, 3 insertions, 1 deletions
diff --git a/jpa_test/algorithms.py b/jpa_test/algorithms.py index cf4ce50..76a3c51 100644 --- a/jpa_test/algorithms.py +++ b/jpa_test/algorithms.py @@ -44,7 +44,9 @@ def sparserecovery(G, cascades): G_hat.add_nodes_from(G.nodes()) for node in G_hat.nodes(): M, w = cascade_creation.icc_matrixvector_for_node(cascades, node) + M = M.astype("int8") edges_node = convex_optimization.l1regls(M,w) + print edges_node def correctness_measure(G, G_hat): @@ -64,7 +66,7 @@ def test(): unit test """ G = cascade_creation.InfluenceGraph(max_proba = .3) - G.erdos_init(n = 100, p = .1) + G.erdos_init(n = 100, p = .5) import time t0 = time.time() A = cascade_creation.generate_cascades(G, .1, 100) |