massive documentation fix

yzhao062 · Nov 18, 2023 · 0acb08b · 0acb08b
1 parent 8477a11
commit 0acb08b
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Showing 3 changed files with 4 additions and 4 deletions.
diff --git a/CHANGES.txt b/CHANGES.txt
@@ -181,4 +181,5 @@ v<1.1.0>, <06/19/2023> -- Further integration of PyThresh.
 v<1.1.1>, <07/03/2023> -- Bump up sklearn requirement and some hot fixes.
 v<1.1.1>, <10/24/2023> -- Add deep isolation forest (#506).
 v<1.1.2>, <11/17/2023> -- Massive documentation optimization.
-v<1.1.2>, <11/17/2023> -- Fix the issue of contamination.
+v<1.1.2>, <11/17/2023> -- Fix the issue of contamination.
+v<1.1.2>, <11/17/2023> -- KPCA bug fix (#494).
diff --git a/docs/pyod.models.rst b/docs/pyod.models.rst
@@ -43,7 +43,7 @@ pyod.models.auto\_encoder\_torch module
 
 .. automodule:: pyod.models.auto_encoder_torch
     :members:
-    :exclude-members: inner_autoencoder
+    :exclude-members: LinearBlock, MLPnet
     :show-inheritance:
     :inherited-members:
 

diff --git a/pyod/models/dif.py b/pyod/models/dif.py
@@ -34,8 +34,7 @@ class DIF(BaseDetector):
 
 	hidden_neurons, list, optional (default=[64, 32])
 		The number of neurons per hidden layers. So the network has the
-		structure as [n_features, hidden_neurons[0], hidden_neurons[1],
-		 ..., representation_dim]
+		structure as [n_features, hidden_neurons[0], hidden_neurons[1], ..., representation_dim]
 
 	hidden_activation, str, optional (default='tanh')
 		Activation function to use for hidden layers.