PERF Free problem and param sooner in liblinear.train_wrap

Author: alexhenrie

sklearn/svm/liblinear.pyx

@@ -61,6 +61,11 @@ def train_wrap(X, np.ndarray[np.float64_t, ndim=1, mode='c'] Y,
  with nogil:
  model = train(problem, param, &blas_functions)
 
+ ### FREE
+ free_problem(problem)
+ free_parameter(param)
+ # destroy_param(param) don't call this or it will destroy class_weight_label and class_weight
+
  # coef matrix holder created as fortran since that's what's used in liblinear
  cdef np.ndarray[np.float64_t, ndim=2, mode='fortran'] w
  cdef int nr_class = get_nr_class(model)
@@ -81,11 +86,7 @@ def train_wrap(X, np.ndarray[np.float64_t, ndim=1, mode='c'] Y,
  w = np.empty((nr_class, nr_feature),order='F')
  copy_w(w.data, model, len_w)
 
- ### FREE
  free_and_destroy_model(&model)
- free_problem(problem)
- free_parameter(param)
- # destroy_param(param) don't call this or it will destroy class_weight_label and class_weight
 
  return w, n_iter