diff --git a/elm.py b/elm.py
index 6b27947..28adec7 100644
--- a/elm.py
+++ b/elm.py
@@ -50,7 +50,8 @@ class BaseELM(BaseEstimator):
     """
     __metaclass__ = ABCMeta
 
-    def __init__(self, hidden_layer, regressor):
+    def __init__(self, hidden_layer, regressor, **kwargs):
+        super(BaseELM, self).__init__(**kwargs)
         self.regressor = regressor
         self.hidden_layer = hidden_layer
 
@@ -262,9 +263,9 @@ class GenELMClassifier(BaseELM, ClassifierMixin):
     def __init__(self,
                  hidden_layer=MLPRandomLayer(random_state=0),
                  binarizer=LabelBinarizer(-1, 1),
-                 regressor=None):
+                 regressor=None, **kwargs):
 
-        super(GenELMClassifier, self).__init__(hidden_layer, regressor)
+        super(GenELMClassifier, self).__init__(hidden_layer, regressor, **kwargs)
 
         self.binarizer = binarizer
 
diff --git a/random_layer.py b/random_layer.py
index 2b8e21b..ea073c9 100644
--- a/random_layer.py
+++ b/random_layer.py
@@ -24,7 +24,7 @@
 from scipy.spatial.distance import cdist, pdist, squareform
 
 from sklearn.metrics import pairwise_distances
-from sklearn.utils import check_random_state, atleast2d_or_csr
+from sklearn.utils import check_random_state, check_array
 from sklearn.utils.extmath import safe_sparse_dot
 from sklearn.base import BaseEstimator, TransformerMixin
 
@@ -108,7 +108,7 @@ def fit(self, X, y=None):
         -------
         self
         """
-        X = atleast2d_or_csr(X)
+        X = check_array(X, accept_sparse='csr')
 
         self._generate_components(X)
 
@@ -130,7 +130,7 @@ def transform(self, X, y=None):
         -------
         X_new : numpy array of shape [n_samples, n_components]
         """
-        X = atleast2d_or_csr(X)
+        X = check_array(X, accept_sparse='csr')
 
         if (self.components_ is None):
             raise ValueError('No components initialized')
diff --git a/setup.py b/setup.py
new file mode 100644
index 0000000..ead6470
--- /dev/null
+++ b/setup.py
@@ -0,0 +1,23 @@
+from setuptools import setup
+
+
+setup(
+    name="Python-Elm",
+    version="0.0.3",
+    license='BSD',
+    url='https://github.com/volker48/Python-ELM',
+    description='Extreme Learning Machine',
+    author='David C. Lambert',
+    py_modules=['elm', 'random_layer'],
+    install_requires=['numpy', 'scipy', 'sklearn'],
+    classifiers=[
+        'Development Status :: 4 - Beta',
+        'Environment :: Web Environment',
+        'Intended Audience :: Developers',
+        'License :: OSI Approved :: BSD License',
+        'Operating System :: OS Independent',
+        'Programming Language :: Python',
+        'Topic :: Scientific/Engineering :: Artificial Intelligence',
+    ]
+
+)