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Fix layer count in autoencoder detector #516

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Fix layer count in autoencoder detector #516

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2 changes: 1 addition & 1 deletion pyod/models/auto_encoder.py
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Original file line number Diff line number Diff line change
Expand Up @@ -178,7 +178,7 @@ def _build_model(self):
model.add(Dropout(self.dropout_rate))

# Additional layers
for i, hidden_neurons in enumerate(self.hidden_neurons_, 1):
for hidden_neurons in self.hidden_neurons_[1:]:
model.add(Dense(
hidden_neurons,
activation=self.hidden_activation,
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8 changes: 8 additions & 0 deletions pyod/test/test_auto_encoder.py
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Original file line number Diff line number Diff line change
Expand Up @@ -120,6 +120,14 @@ def test_fit_predict_score(self):
def test_model_clone(self):
# for deep models this may not apply
clone_clf = clone(self.clf)

def test_layer_count(self):
hidden_layers = len(self.clf.hidden_neurons)
# add one to account for the dropout after the input layer
dropout_layers = hidden_layers + 1
# add two for the input and output layers
expected_layer_count = hidden_layers + dropout_layers + 2
assert(len(self.clf.model_.layers) == expected_layer_count)

def tearDown(self):
pass
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