Resolved a few minor issues found during testing.

keras/wrappers/scikit_learn.py

@@ -234,7 +234,7 @@ class KerasRegressor(BaseWrapper):
         preds : array-like, shape = (n_samples)
             Predictions.
         """
-        return self.compiled_model_.predict(X, batch_size=batch_size, verbose=verbose)
+        return self.compiled_model_.predict(X, batch_size=batch_size, verbose=verbose).ravel()
 
     def score(self, X, y, batch_size=128, verbose=0):
         """

tests/manual/check_wrappers.py

@@ -82,16 +82,16 @@ print(classifier.compiled_model_)
 print('Beginning scikit-learn regression wrapper test')
 
 print('Generating data')
-X_train = np.random((5000, 100))
-X_test = np.random((1000, 100))
-y_train = np.random(5000)
-y_test = np.random(1000)
+X_train = np.random.random((5000, 100))
+X_test = np.random.random((1000, 100))
+y_train = np.random.random(5000)
+y_test = np.random.random(1000)
 
 print('Defining model')
 model = Sequential()
 model.add(Dense(100, 50))
 model.add(Activation('relu'))
-model.add(Dense(50, 10))
+model.add(Dense(50, 1))
 model.add(Activation('linear'))
 
 print('Creating wrapper')