Do not override regularizer default parameters

In the spirit of 2291f86.
kiudee · Jun 27, 2020 · 82a2869 · 82a2869
1 parent 0a6d8f7
commit 82a2869
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Showing 17 changed files with 17 additions and 17 deletions.
diff --git a/csrank/choicefunction/cmpnet_choice.py b/csrank/choicefunction/cmpnet_choice.py
@@ -16,7 +16,7 @@ def __init__(
         n_units=8,
         loss_function="binary_crossentropy",
         batch_normalization=True,
-        kernel_regularizer=l2(1e-4),
+        kernel_regularizer=l2(),
         kernel_initializer="lecun_normal",
         activation="relu",
         optimizer=SGD,

diff --git a/csrank/choicefunction/fate_choice.py b/csrank/choicefunction/fate_choice.py
@@ -20,7 +20,7 @@ def __init__(
         loss_function=binary_crossentropy,
         activation="selu",
         kernel_initializer="lecun_normal",
-        kernel_regularizer=l2(0.01),
+        kernel_regularizer=l2(),
         optimizer=SGD,
         batch_size=256,
         metrics=(),

diff --git a/csrank/choicefunction/feta_choice.py b/csrank/choicefunction/feta_choice.py
@@ -31,7 +31,7 @@ def __init__(
         num_subsample=5,
         loss_function=binary_crossentropy,
         batch_normalization=False,
-        kernel_regularizer=l2(1e-4),
+        kernel_regularizer=l2(),
         kernel_initializer="lecun_normal",
         activation="selu",
         optimizer=SGD,

diff --git a/csrank/choicefunction/ranknet_choice.py b/csrank/choicefunction/ranknet_choice.py
@@ -16,7 +16,7 @@ def __init__(
         n_units=8,
         loss_function="binary_crossentropy",
         batch_normalization=True,
-        kernel_regularizer=l2(1e-4),
+        kernel_regularizer=l2(),
         kernel_initializer="lecun_normal",
         activation="relu",
         optimizer=SGD,

diff --git a/csrank/core/cmpnet_core.py b/csrank/core/cmpnet_core.py
@@ -25,7 +25,7 @@ def __init__(
         n_units=8,
         loss_function="binary_crossentropy",
         batch_normalization=True,
-        kernel_regularizer=l2(1e-4),
+        kernel_regularizer=l2(),
         kernel_initializer="lecun_normal",
         activation="relu",
         optimizer=SGD,

diff --git a/csrank/core/fate_network.py b/csrank/core/fate_network.py
@@ -27,7 +27,7 @@ def __init__(
         n_hidden_joint_units=32,
         activation="selu",
         kernel_initializer="lecun_normal",
-        kernel_regularizer=l2(0.01),
+        kernel_regularizer=l2(),
         optimizer=SGD,
         batch_size=256,
         random_state=None,

diff --git a/csrank/core/feta_network.py b/csrank/core/feta_network.py
@@ -32,7 +32,7 @@ def __init__(
         num_subsample=5,
         loss_function=hinged_rank_loss,
         batch_normalization=False,
-        kernel_regularizer=l2(1e-4),
+        kernel_regularizer=l2(),
         kernel_initializer="lecun_normal",
         activation="selu",
         optimizer=SGD,

diff --git a/csrank/core/ranknet_core.py b/csrank/core/ranknet_core.py
@@ -24,7 +24,7 @@ def __init__(
         n_units=8,
         loss_function="binary_crossentropy",
         batch_normalization=True,
-        kernel_regularizer=l2(1e-4),
+        kernel_regularizer=l2(),
         kernel_initializer="lecun_normal",
         activation="relu",
         optimizer=SGD,

diff --git a/csrank/discretechoice/cmpnet_discrete_choice.py b/csrank/discretechoice/cmpnet_discrete_choice.py
@@ -15,7 +15,7 @@ def __init__(
         n_units=8,
         loss_function="binary_crossentropy",
         batch_normalization=True,
-        kernel_regularizer=l2(1e-4),
+        kernel_regularizer=l2(),
         kernel_initializer="lecun_normal",
         activation="relu",
         optimizer=SGD,

diff --git a/csrank/discretechoice/fate_discrete_choice.py b/csrank/discretechoice/fate_discrete_choice.py
@@ -19,7 +19,7 @@ def __init__(
         n_hidden_joint_units=32,
         activation="selu",
         kernel_initializer="lecun_normal",
-        kernel_regularizer=l2(0.01),
+        kernel_regularizer=l2(),
         optimizer=SGD,
         batch_size=256,
         random_state=None,

diff --git a/csrank/discretechoice/feta_discrete_choice.py b/csrank/discretechoice/feta_discrete_choice.py
@@ -29,7 +29,7 @@ def __init__(
         num_subsample=5,
         loss_function="categorical_hinge",
         batch_normalization=False,
-        kernel_regularizer=l2(1e-4),
+        kernel_regularizer=l2(),
         kernel_initializer="lecun_normal",
         activation="selu",
         optimizer=SGD,

diff --git a/csrank/discretechoice/ranknet_discrete_choice.py b/csrank/discretechoice/ranknet_discrete_choice.py
@@ -15,7 +15,7 @@ def __init__(
         n_units=8,
         loss_function="binary_crossentropy",
         batch_normalization=True,
-        kernel_regularizer=l2(1e-4),
+        kernel_regularizer=l2(),
         kernel_initializer="lecun_normal",
         activation="relu",
         optimizer=SGD,

diff --git a/csrank/objectranking/cmp_net.py b/csrank/objectranking/cmp_net.py
@@ -17,7 +17,7 @@ def __init__(
         n_units=8,
         loss_function="binary_crossentropy",
         batch_normalization=True,
-        kernel_regularizer=l2(1e-4),
+        kernel_regularizer=l2(),
         kernel_initializer="lecun_normal",
         activation="relu",
         optimizer=SGD,

diff --git a/csrank/objectranking/fate_object_ranker.py b/csrank/objectranking/fate_object_ranker.py
@@ -18,7 +18,7 @@ def __init__(
         n_hidden_joint_units=32,
         activation="selu",
         kernel_initializer="lecun_normal",
-        kernel_regularizer=l2(0.01),
+        kernel_regularizer=l2(),
         optimizer=SGD,
         batch_size=256,
         loss_function=hinged_rank_loss,

diff --git a/csrank/objectranking/feta_object_ranker.py b/csrank/objectranking/feta_object_ranker.py
@@ -20,7 +20,7 @@ def __init__(
         num_subsample=5,
         loss_function=hinged_rank_loss,
         batch_normalization=False,
-        kernel_regularizer=l2(1e-4),
+        kernel_regularizer=l2(),
         kernel_initializer="lecun_normal",
         activation="selu",
         optimizer=SGD,

diff --git a/csrank/objectranking/list_net.py b/csrank/objectranking/list_net.py
@@ -30,7 +30,7 @@ def __init__(
         n_units=8,
         loss_function=plackett_luce_loss,
         batch_normalization=False,
-        kernel_regularizer=l2(1e-4),
+        kernel_regularizer=l2(),
         activation="selu",
         kernel_initializer="lecun_normal",
         optimizer=SGD,

diff --git a/csrank/objectranking/rank_net.py b/csrank/objectranking/rank_net.py
@@ -17,7 +17,7 @@ def __init__(
         n_units=8,
         loss_function="binary_crossentropy",
         batch_normalization=True,
-        kernel_regularizer=l2(1e-4),
+        kernel_regularizer=l2(),
         kernel_initializer="lecun_normal",
         activation="relu",
         optimizer=SGD,