Revert "updated default value of n_iter_no_change: 2 -> 10"

This reverts commit 0c1f5b6.
scikit-learn · Oct 19, 2017 · e60701a · e60701a
1 parent c289791
commit e60701a
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Showing 2 changed files with 4 additions and 4 deletions.
diff --git a/doc/modules/neural_networks_supervised.rst b/doc/modules/neural_networks_supervised.rst
@@ -94,7 +94,7 @@ training samples::
                   beta_1=0.9, beta_2=0.999, early_stopping=False,
                   epsilon=1e-08, hidden_layer_sizes=(5, 2),
                   learning_rate='constant', learning_rate_init=0.001,
-                  max_iter=200, momentum=0.9, n_iter_no_change=10,
+                  max_iter=200, momentum=0.9, n_iter_no_change=2,
                   nesterovs_momentum=True, power_t=0.5, random_state=1,
                   shuffle=True, solver='lbfgs', tol=0.0001,
                   validation_fraction=0.1, verbose=False, warm_start=False)
@@ -143,7 +143,7 @@ indices where the value is `1` represents the assigned classes of that sample::
                   beta_1=0.9, beta_2=0.999, early_stopping=False,
                   epsilon=1e-08, hidden_layer_sizes=(15,),
                   learning_rate='constant', learning_rate_init=0.001,
-                  max_iter=200, momentum=0.9, n_iter_no_change=10,
+                  max_iter=200, momentum=0.9, n_iter_no_change=2,
                   nesterovs_momentum=True, power_t=0.5,  random_state=1,
                   shuffle=True, solver='lbfgs', tol=0.0001,
                   validation_fraction=0.1, verbose=False, warm_start=False)

diff --git a/sklearn/neural_network/multilayer_perceptron.py b/sklearn/neural_network/multilayer_perceptron.py
@@ -903,7 +903,7 @@ def __init__(self, hidden_layer_sizes=(100,), activation="relu",
                  verbose=False, warm_start=False, momentum=0.9,
                  nesterovs_momentum=True, early_stopping=False,
                  validation_fraction=0.1, beta_1=0.9, beta_2=0.999,
-                 epsilon=1e-8, n_iter_no_change=10):
+                 epsilon=1e-8, n_iter_no_change=2):
 
         sup = super(MLPClassifier, self)
         sup.__init__(hidden_layer_sizes=hidden_layer_sizes,
@@ -1285,7 +1285,7 @@ def __init__(self, hidden_layer_sizes=(100,), activation="relu",
                  verbose=False, warm_start=False, momentum=0.9,
                  nesterovs_momentum=True, early_stopping=False,
                  validation_fraction=0.1, beta_1=0.9, beta_2=0.999,
-                 epsilon=1e-8, n_iter_no_change=10):
+                 epsilon=1e-8, n_iter_no_change=2):
 
         sup = super(MLPRegressor, self)
         sup.__init__(hidden_layer_sizes=hidden_layer_sizes,