weight_vector_patch.diff

diff --git a/sklearn/utils/_weight_vector.pxd.tp b/sklearn/utils/_weight_vector.pxd.tp
index 9d1779373c..f5e3e4af5a 100644
--- a/sklearn/utils/_weight_vector.pxd.tp
+++ b/sklearn/utils/_weight_vector.pxd.tp
@@ -27,11 +27,12 @@ cdef class WeightVector{{name_suffix}}(object):
     cdef readonly {{c_type}}[::1] aw
     cdef {{c_type}} *w_data_ptr
     cdef {{c_type}} *aw_data_ptr
-    cdef {{c_type}} wscale
-    cdef {{c_type}} average_a
-    cdef {{c_type}} average_b
+
+    cdef double wscale
+    cdef double average_a
+    cdef double average_b
     cdef int n_features
-    cdef {{c_type}} sq_norm
+    cdef double sq_norm
 
     cdef void add(self, {{c_type}} *x_data_ptr, int *x_ind_ptr,
                   int xnnz, {{c_type}} c) noexcept nogil
diff --git a/sklearn/utils/_weight_vector.pyx.tp b/sklearn/utils/_weight_vector.pyx.tp
index e2d374813a..caa992d4ad 100644
--- a/sklearn/utils/_weight_vector.pyx.tp
+++ b/sklearn/utils/_weight_vector.pyx.tp
@@ -99,8 +99,8 @@ cdef class WeightVector{{name_suffix}}(object):
         cdef int j
         cdef int idx
         cdef {{c_type}} val
-        cdef {{c_type}} innerprod = 0.0
-        cdef {{c_type}} xsqnorm = 0.0
+        cdef double innerprod = 0.0
+        cdef double xsqnorm = 0.0
 
         # the next two lines save a factor of 2!
         cdef {{c_type}} wscale = self.wscale
@@ -139,8 +139,8 @@ cdef class WeightVector{{name_suffix}}(object):
         cdef int idx
         cdef {{c_type}} val
         cdef {{c_type}} mu = 1.0 / num_iter
-        cdef {{c_type}} average_a = self.average_a
-        cdef {{c_type}} wscale = self.wscale
+        cdef double average_a = self.average_a
+        cdef double wscale = self.wscale
         cdef {{c_type}}* aw_data_ptr = self.aw_data_ptr
 
         for j in range(xnnz):
@@ -174,7 +174,7 @@ cdef class WeightVector{{name_suffix}}(object):
         """
         cdef int j
         cdef int idx
-        cdef {{c_type}} innerprod = 0.0
+        cdef double innerprod = 0.0
         cdef {{c_type}}* w_data_ptr = self.w_data_ptr
         for j in range(xnnz):
             idx = x_ind_ptr[j]