Merge branch 'add-preprocessing-notebook'

Author: sambra95

src/growthcurves/inference.py

@@ -1382,7 +1382,7 @@ def _extract_stats_spline(
     Returns:
         Growth statistics dictionary.
     """
-    from .models import spline_model
+    from .models import spline_from_params
 
     params = fit_result.get("params", {})
 
@@ -1392,7 +1392,6 @@ def _extract_stats_spline(
     time_at_umax = params.get("time_at_umax")
     fit_t_min = params.get("fit_t_min")
     fit_t_max = params.get("fit_t_max")
-    spline_s = params.get("spline_s", 0.01)
 
     if mu_max is None or time_at_umax is None or fit_t_min is None or fit_t_max is None:
         return bad_fit_stats()
@@ -1420,7 +1419,7 @@ def _extract_stats_spline(
     # Reconstruct spline to calculate od_at_umax and RMSE
     y_log_exp = np.log(y_exp)
     try:
-        spline, _ = spline_model(t_exp, y_log_exp, spline_s, k=3)
+        spline = spline_from_params(params)
         # Evaluate spline at time_at_umax to get the OD value
         # Spline is fitted to log(y), so exponentiate to get actual OD
         od_at_umax = float(np.exp(spline(time_at_umax)))