Fixed incorrectly set default kwargs

nimfa/methods/factorization/bd.py

@@ -185,15 +185,15 @@ def __init__(self, V, seed=None, W=None, H=None, rank=30, max_iter=30,
         self.name = "bd"
         self.aseeds = ["random", "fixed", "nndsvd", "random_c", "random_vcol"]
         nmf_std.Nmf_std.__init__(self, vars())
-        if self.alpha is not None:
+        if self.alpha is None:
             self.alpha = sp.csr_matrix((self.V.shape[0], self.rank))
         self.alpha = self.alpha.tocsr() if sp.isspmatrix(self.alpha) else np.mat(self.alpha)
-        if self.beta is not None:
+        if self.beta is None:
             self.beta = sp.csr_matrix((self.rank, self.V.shape[1]))
         self.beta = self.beta.tocsr() if sp.isspmatrix(self.beta) else np.mat(self.beta)
-        if self.n_w is not None:
+        if self.n_w is None:
             self.n_w = np.zeros((self.rank, 1))
-        if self.n_h is not None:
+        if self.n_h is None:
             self.n_h = np.zeros((self.rank, 1))
         self.tracker = mf_track.Mf_track() if self.track_factor and self.n_run > 1 \
                                               or self.track_error else None

nimfa/methods/factorization/snmnmf.py

@@ -190,10 +190,10 @@ def __init__(self, V, V1, seed=None, W=None, H=None, H1=None,
         self.name = "snmnmf"
         self.aseeds = ["random", "fixed", "nndsvd", "random_c", "random_vcol"]
         nmf_mm.Nmf_mm.__init__(self, vars())
-        if self.A is not None:
+        if self.A is None:
             self.A = sp.csr_matrix((self.V1.shape[1], self.V1.shape[1]))
         self.A = self.A.tocsr() if sp.isspmatrix(self.A) else np.mat(self.A)
-        if self.B is not None:
+        if self.B is None:
             self.B = sp.csr_matrix((self.V.shape[1], self.V1.shape[1]))
         self.B = self.B.tocsr() if sp.isspmatrix(self.B) else np.mat(self.B)
         self.tracker = mf_track.Mf_track() if self.track_factor and self.n_run > 1 \