fixup: metrics

csrank/choicefunction/fate_choice.py

@@ -23,7 +23,7 @@ def __init__(
         kernel_regularizer=l2(),
         optimizer=SGD,
         batch_size=256,
-        metrics=None,
+        metrics=(),
         random_state=None,
         **kwargs,
     ):

csrank/choicefunction/feta_choice.py

@@ -220,7 +220,9 @@ def create_input_lambda(i):
         model = Model(inputs=self.input_layer, outputs=scores)
         self.logger.debug("Compiling complete model...")
         model.compile(
-            loss=self.loss_function, optimizer=self.optimizer_, metrics=self.metrics
+            loss=self.loss_function,
+            optimizer=self.optimizer_,
+            metrics=list(self.metrics),
         )
         return model
 

csrank/core/cmpnet_core.py

@@ -109,7 +109,9 @@ def construct_model(self):
         merged_output = concatenate([N_g, N_l])
         model = Model(inputs=[self.x1, self.x2], outputs=merged_output)
         model.compile(
-            loss=self.loss_function, optimizer=self.optimizer_, metrics=self.metrics
+            loss=self.loss_function,
+            optimizer=self.optimizer_,
+            metrics=list(self.metrics),
         )
         return model
 

csrank/core/fate_network.py

@@ -475,7 +475,9 @@ def construct_model(self, n_features, n_objects):
         model = Model(inputs=input_layer, outputs=scores)
 
         model.compile(
-            loss=self.loss_function, optimizer=self.optimizer_, metrics=self.metrics
+            loss=self.loss_function,
+            optimizer=self.optimizer_,
+            metrics=list(self.metrics),
         )
         return model
 

csrank/core/feta_network.py

@@ -36,7 +36,7 @@ def __init__(
         kernel_initializer="lecun_normal",
         activation="selu",
         optimizer=SGD,
-        metrics=None,
+        metrics=(),
         batch_size=256,
         random_state=None,
         **kwargs,
@@ -249,7 +249,9 @@ def create_input_lambda(i):
         model = Model(inputs=self.input_layer, outputs=scores)
         self.logger.debug("Compiling complete model...")
         model.compile(
-            loss=self.loss_function, optimizer=self.optimizer_, metrics=self.metrics
+            loss=self.loss_function,
+            optimizer=self.optimizer_,
+            metrics=list(self.metrics),
         )
         return model
 

csrank/core/ranknet_core.py

@@ -99,7 +99,9 @@ def construct_model(self):
         output = self.output_node(merged_inputs)
         model = Model(inputs=[self.x1, self.x2], outputs=output)
         model.compile(
-            loss=self.loss_function, optimizer=self.optimizer_, metrics=self.metrics
+            loss=self.loss_function,
+            optimizer=self.optimizer_,
+            metrics=list(self.metrics),
         )
         return model
 

csrank/discretechoice/feta_discrete_choice.py

@@ -264,7 +264,9 @@ def get_score_object(i):
         model = Model(inputs=self.input_layer, outputs=scores)
         self.logger.debug("Compiling complete model...")
         model.compile(
-            loss=self.loss_function, optimizer=self.optimizer_, metrics=self.metrics
+            loss=self.loss_function,
+            optimizer=self.optimizer_,
+            metrics=list(self.metrics),
         )
         return model
 

csrank/objectranking/feta_object_ranker.py

@@ -24,7 +24,7 @@ def __init__(
         kernel_initializer="lecun_normal",
         activation="selu",
         optimizer=SGD,
-        metrics=None,
+        metrics=(),
         batch_size=256,
         random_state=None,
         **kwargs,

csrank/objectranking/list_net.py

@@ -214,7 +214,9 @@ def construct_model(self):
         merged = concatenate(outputs)
         model = Model(inputs=self.input_layer, outputs=merged)
         model.compile(
-            loss=self.loss_function, optimizer=self.optimizer_, metrics=self.metrics
+            loss=self.loss_function,
+            optimizer=self.optimizer_,
+            metrics=list(self.metrics),
         )
         return model