add BSD 3 clause

Author: Immanuel Bayer

COPYING

@@ -0,0 +1,31 @@
+New BSD License
+
+Copyright (c) 2014–2015 Immanuel Bayer
+All rights reserved.
+
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+  a. Redistributions of source code must retain the above copyright notice,
+     this list of conditions and the following disclaimer.
+  b. Redistributions in binary form must reproduce the above copyright
+     notice, this list of conditions and the following disclaimer in the
+     documentation and/or other materials provided with the distribution.
+  c. Neither the name of the developers  nor the names of
+     its contributors may be used to endorse or promote products
+     derived from this software without specific prior written
+     permission. 
+
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+ARE DISCLAIMED. IN NO EVENT SHALL THE REGENTS OR CONTRIBUTORS BE LIABLE FOR
+ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
+LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
+OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH
+DAMAGE.

fastFM/als.py

@@ -1,3 +1,6 @@
+# Author: Immanuel Bayer
+# License: BSD 3 clause
+
 from sklearn.utils import check_consistent_length, check_array
 from sklearn.base import RegressorMixin
 from base import FactorizationMachine, BaseFMClassifier,\

fastFM/base.py

@@ -1,3 +1,6 @@
+# Author: Immanuel Bayer
+# License: BSD 3 clause
+
 import numpy as np
 import ffm
 import scipy.sparse as sp

fastFM/bpr.py

@@ -1,3 +1,6 @@
+# Author: Immanuel Bayer
+# License: BSD 3 clause
+
 from sklearn.utils import assert_all_finite, check_array
 from sklearn.utils.testing import assert_array_equal
 from base import FactorizationMachine

fastFM/cffm.pxd

@@ -1,7 +1,5 @@
-#cfastfm.pxd
-#
-# Declarations of "external" C functions and structures
-# distutils: include_dirs = /usr/include/suitesparse
+# Author: Immanuel Bayer
+# License: BSD 3 clause
 
 cdef extern from "../fastFM-core/externals/CXSparse/Include/cs.h":
     ctypedef struct cs_di:  # matrix in compressed-column or triplet form */

fastFM/datasets.py

@@ -1,3 +1,6 @@
+# Author: Immanuel Bayer
+# License: BSD 3 clause
+
 import numpy as np
 from ffm import ffm_predict
 import scipy.sparse as sp

fastFM/ffm.pyx

@@ -1,5 +1,6 @@
-# sample.pyx
-# Import the low-level C declarations
+# Author: Immanuel Bayer
+# License: BSD 3 clause
+
 cimport cffm
 from  cffm cimport cs_di, ffm_param
 # Import some functionality from Python and the C stdlib

fastFM/mcmc.py

@@ -1,3 +1,6 @@
+# Author: Immanuel Bayer
+# License: BSD 3 clause
+
 from sklearn.utils import assert_all_finite, check_consistent_length,\
     check_array
 from base import FactorizationMachine, _validate_class_labels,\

fastFM/sgd.py

@@ -1,3 +1,6 @@
+# Author: Immanuel Bayer
+# License: BSD 3 clause
+
 from sklearn.base import RegressorMixin
 from sklearn.utils import check_array, check_consistent_length
 from base import FactorizationMachine, BaseFMClassifier, _validate_class_labels

fastFM/tests/test_als.py

@@ -1,3 +1,6 @@
+# Author: Immanuel Bayer
+# License: BSD 3 clause
+
 import numpy as np
 import scipy.sparse as sp
 from sklearn import metrics

fastFM/tests/test_base.py

@@ -1,3 +1,6 @@
+# Author: Immanuel Bayer
+# License: BSD 3 clause
+
 import numpy as np
 import scipy.sparse as sp
 from sklearn import metrics

fastFM/tests/test_datasets.py

@@ -1,3 +1,6 @@
+# Author: Immanuel Bayer
+# License: BSD 3 clause
+
 from fastFM.datasets import make_user_item_regression
 from sklearn.metrics import mean_squared_error
 import scipy.sparse as sp

fastFM/tests/test_ffm.py

@@ -1,3 +1,6 @@
+# Author: Immanuel Bayer
+# License: BSD 3 clause
+
 import numpy as np
 import scipy.sparse as sp
 from sklearn.metrics import mean_squared_error, r2_score

fastFM/tests/test_mcmc.py

@@ -1,3 +1,6 @@
+# Author: Immanuel Bayer
+# License: BSD 3 clause
+
 import numpy as np
 import scipy.sparse as sp
 from sklearn import metrics

fastFM/tests/test_ranking.py

@@ -1,3 +1,6 @@
+# Author: Immanuel Bayer
+# License: BSD 3 clause
+
 import numpy as np
 import scipy.sparse as sp
 from fastFM import bpr

fastFM/tests/test_sgd.py

@@ -1,3 +1,6 @@
+# Author: Immanuel Bayer
+# License: BSD 3 clause
+
 import numpy as np
 import scipy.sparse as sp
 from sklearn import metrics

fastFM/tests/test_transform.py

@@ -1,3 +1,6 @@
+# Author: Immanuel Bayer
+# License: BSD 3 clause
+
 import scipy.sparse as sp
 import numpy as np
 from numpy.testing import assert_array_equal

fastFM/tests/test_utils.py

@@ -1,3 +1,6 @@
+# Author: Immanuel Bayer
+# License: BSD 3 clause
+
 import numpy as np
 from fastFM.utils import kendall_tau
 

fastFM/transform.py

@@ -1,3 +1,6 @@
+# Author: Immanuel Bayer
+# License: BSD 3 clause
+
 import scipy.sparse as sp
 import numpy as np
 

fastFM/utils.py

@@ -1,3 +1,5 @@
+# Author: Immanuel Bayer
+# License: BSD 3 clause
 
 
 def kendall_tau(a, b):