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Update vae.py #557

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8 changes: 4 additions & 4 deletions pyod/models/vae.py
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Original file line number Diff line number Diff line change
Expand Up @@ -7,7 +7,7 @@
:cite:`kingma2013auto` Kingma, Diederik, Welling
'Auto-Encodeing Variational Bayes'
https://arxiv.org/abs/1312.6114

:cite:`burgess2018understanding` Burges et al
'Understanding disentangling in beta-VAE'
https://arxiv.org/pdf/1804.03599.pdf
Expand Down Expand Up @@ -221,7 +221,7 @@ def sampling(self, args):
----------
args : tensor
Mean and log of variance of Q(z|X).

Returns
-------
z : tensor
Expand Down Expand Up @@ -349,7 +349,7 @@ def fit(self, X, y=None):
else:
X_norm = np.copy(X)

pred_scores = self.model_.predict(X_norm)
pred_scores = self.model_.predict(X_norm, verbose=self.verbose)
self.decision_scores_ = pairwise_distances_no_broadcast(X_norm,
pred_scores)
self._process_decision_scores()
Expand Down Expand Up @@ -382,5 +382,5 @@ def decision_function(self, X):
X_norm = np.copy(X)

# Predict on X and return the reconstruction errors
pred_scores = self.model_.predict(X_norm)
pred_scores = self.model_.predict(X_norm, verbose=self.verbose)
return pairwise_distances_no_broadcast(X_norm, pred_scores)