Name fix in Evidential

Author: stefanradev93

bayesflow/default_settings.py

@@ -66,14 +66,14 @@ def __init__(self, meta_dict: dict, mandatory_fields: list = []):
 
 
 DEFAULT_SETTING_MULTI_CONV = {
-            'layer_args': {
-                'activation': 'relu',
-                'filters': 32,
-                'strides': 1,
-                'padding': 'causal'
-            },
-            'min_kernel_size': 1,
-            'max_kernel_size': 3
+    'layer_args': {
+        'activation': 'relu',
+        'filters': 32,
+        'strides': 1,
+        'padding': 'causal'
+    },
+    'min_kernel_size': 1,
+    'max_kernel_size': 3
 }
 
 
@@ -84,7 +84,7 @@ def __init__(self, meta_dict: dict, mandatory_fields: list = []):
 }
 
 
-DEFAULT_SETTINGS_DENSE_EVIDENTIAL = {
+DEFAULT_SETTING_DENSE_EVIDENTIAL = {
     'units': 128,
     'kernel_initializer': 'lecun_normal',
     'activation': 'selu',

bayesflow/inference_networks.py

@@ -242,7 +242,7 @@ def __init__(self, num_models, dense_args=None, num_dense=3, output_activation='
         super().__init__(**kwargs)
 
         if dense_args is None:
-            dense_args = default_settings.DEFAULT_SETTINGS_DENSE_EVIDENTIAL
+            dense_args = default_settings.DEFAULT_SETTING_DENSE_EVIDENTIAL
 
         # A network to increase representation power
         self.dense = tf.keras.Sequential([

bayesflow/networks.py

@@ -20,4 +20,4 @@
 
 """Meta-module for easy access of different neural network architecture interfaces"""
 from bayesflow.inference_networks import InvertibleNetwork, EvidentialNetwork
-from bayesflow.summary_networks import InvariantNetwork, SequentialNetwork
+from bayesflow.summary_networks import InvariantNetwork, SequentialNetwork