made save/load modular

1 files changed, 7 insertions, 7 deletions

diff --git a/vowpalwabbit/sparse_dense.h b/vowpalwabbit/sparse_dense.h
index 5d0e82e7..340ad585 100644
--- a/vowpalwabbit/sparse_dense.h
+++ b/vowpalwabbit/sparse_dense.h
@@ -40,15 +40,15 @@ float one_pf_cubic_predict(vw& all, feature& f0, feature& f1, v_array<feature> c
 }
 
 inline float vec_add(vw& all, float fx, uint32_t fi) {
-  return all.reg.weight_vectors[fi & all.weight_mask] * fx;
+  return all.reg.weight_vector[fi & all.weight_mask] * fx;
 }
 
 inline float vec_add_trunc(vw& all, float fx, uint32_t fi) {
-  return trunc_weight(all.reg.weight_vectors[fi & all.weight_mask], all.sd->gravity) * fx;
+  return trunc_weight(all.reg.weight_vector[fi & all.weight_mask], all.sd->gravity) * fx;
 }
 
 inline float vec_add_rescale(vw& all, float fx, uint32_t fi) {
-  weight* w = &all.reg.weight_vectors[fi & all.weight_mask];
+  weight* w = &all.reg.weight_vector[fi & all.weight_mask];
   float x_abs = fabs(fx);
   if( x_abs > w[all.normalized_idx] ) {
     if( w[all.normalized_idx] > 0. ) {
@@ -61,7 +61,7 @@ inline float vec_add_rescale(vw& all, float fx, uint32_t fi) {
 }
 
 inline float vec_add_trunc_rescale(vw& all, float fx, uint32_t fi) {
-  weight* w = &all.reg.weight_vectors[fi & all.weight_mask];
+  weight* w = &all.reg.weight_vector[fi & all.weight_mask];
   float x_abs = fabs(fx);
   if( x_abs > w[all.normalized_idx] ) {
     if( w[all.normalized_idx] > 0. ) {
@@ -74,7 +74,7 @@ inline float vec_add_trunc_rescale(vw& all, float fx, uint32_t fi) {
 }
 
 inline float vec_add_rescale_general(vw& all, float fx, uint32_t fi) {
-  weight* w = &all.reg.weight_vectors[fi & all.weight_mask];
+  weight* w = &all.reg.weight_vector[fi & all.weight_mask];
   float x_abs = fabs(fx);
   float power_t_norm = 1.f - (all.adaptive ? all.power_t : 0.f);
   if( x_abs > w[all.normalized_idx] ) {
@@ -88,7 +88,7 @@ inline float vec_add_rescale_general(vw& all, float fx, uint32_t fi) {
 }
 
 inline float vec_add_trunc_rescale_general(vw& all, float fx, uint32_t fi) {
-  weight* w = &all.reg.weight_vectors[fi & all.weight_mask];
+  weight* w = &all.reg.weight_vector[fi & all.weight_mask];
   float x_abs = fabs(fx);
   float power_t_norm = 1.f - (all.adaptive ? all.power_t : 0.f);
   if( x_abs > w[all.normalized_idx] ) {
@@ -125,7 +125,7 @@ void sd_cubic_update(vw& all, feature& f0, feature& f1, v_array<feature> cross_f
 }
 
 inline void upd_add(vw& all, float fx, uint32_t fi, float update) {
-  all.reg.weight_vectors[fi] += update * fx;
+  all.reg.weight_vector[fi] += update * fx;
 }