Tweak WDL model params

Bench: 2141682

scripts/wdl_fit.py

@@ -33,6 +33,12 @@
         if score > 700 or score < -700:
             continue
 
+        # Skip positions with blunders because they were generated as low depth data.
+        if score > 200 and wdl == -1:
+            continue
+        if score < -200 and wdl == 1:
+            continue
+
         if score not in wins:
             wins[score] = 0
             losses[score] = 0

src/search/terminal_report.h

@@ -132,7 +132,7 @@ namespace search::report {
         }
 
         if (show_wdl) {
-            auto [w, l] = cp_to_wl(score);
+            auto [w, l] = wdl_model::cp_to_wl(score);
             int d = 1000 - w - l;
             res << " wdl " << w << " " << d << " " << l;
         }

src/search/wdl_model.h

@@ -22,13 +22,13 @@
 #include <cmath>
 #include <utility>
 
-namespace search {
+namespace search::wdl_model {
 
     constexpr float win_polynomial[5] = {
-            -2.48486993e-12, -1.35086324e-09, 1.63515294e-06, 1.28794334e-03, 2.27129636e-01};
+            -2.47316297e-12, -1.48747168e-09, 1.63383657e-06, 1.34567185e-03, 2.26139615e-01};
 
     constexpr float loss_polynomial[5] = {
-            -2.33054260e-12, 1.40330209e-09, 1.53833569e-06, -1.31063191e-03, 2.43447833e-01};
+            -2.31486122e-12, 1.54329009e-09, 1.53565431e-06, -1.36965421e-03, 2.41690462e-01};
 
     std::pair<int, int> cp_to_wl(Score score) {
 
@@ -52,4 +52,4 @@ namespace search {
 
         return {std::round(win_chance * 1000), std::round(loss_chance * 1000)};
     }
-} // namespace search
+} // namespace search::wdl_model