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[FIX] Divide SAM filter-output by test_epochs*batch_count #165

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[FIX] Divide SAM filter-output by test_epochs*batch_count #165

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4 changes: 3 additions & 1 deletion cdt/causality/graph/SAM.py
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Original file line number Diff line number Diff line change
Expand Up @@ -373,7 +373,9 @@ def run_SAM(in_data, skeleton=None, is_mixed=False, device="cpu",
if not linear and functionalComplexity=="n_hidden_units":
neuron_optimizer.step()

return output.div_(test).cpu().numpy()
test_additions = test * (data.shape[0] // batch_size)

return output.div_(test_additions).cpu().numpy()
# Evaluate total effect with final DAG


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8 changes: 8 additions & 0 deletions tests/scripts/test_causality_graph.py
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Expand Up @@ -54,6 +54,13 @@ def test_SAM():
assert isinstance(m.predict(data_graph), nx.DiGraph)
return 0


def test_SAM_batchsize():
m = SAM(train_epochs=10, test_epochs=10, nh=10, dnh=10, nruns=1, njobs=1, batch_size=3, gpus=0)
assert nx.to_numpy_array(m.predict(data_graph)).max() <= 1
return 0


def test_SAMv1():
m = SAMv1(train_epochs=10, test_epochs=10, nh=10, dnh=10, nruns=1, njobs=1)
assert isinstance(m.predict(data_graph), nx.DiGraph)
Expand All @@ -62,6 +69,7 @@ def test_SAMv1():

if __name__ == "__main__":
test_SAM()
test_SAM_batchsize()
test_SAMv1()
# test_directed()
# test_undirected()
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