diff --git a/example/operon-bindings.py b/example/operon-bindings.py
index edb3702..dd600c3 100644
--- a/example/operon-bindings.py
+++ b/example/operon-bindings.py
@@ -9,6 +9,7 @@
 import pyoperon as Operon
 from pmlb import fetch_data
 
+
 # get some training data - see https://epistasislab.github.io/pmlb/
 D = fetch_data('1027_ESL', return_X_y=False, local_cache_dir='./datasets').to_numpy()
 
@@ -82,7 +83,8 @@
 evaluator      = Operon.Evaluator(problem, dtable, error_metric, True) # initialize evaluator, use linear scaling = True
 evaluator.Budget = 1000 * 1000             # computational budget
 
-optimizer      = Operon.LMOptimizer(dtable, problem, max_iter=10)
+optimizer      = Operon.LMOptimizer(dtable, problem, max_iter=3)
+evaluator.Optimizer = optimizer
 
 # define how new offspring are created
 generator      = Operon.BasicOffspringGenerator(evaluator, crossover, mutation, selector, selector)
@@ -102,11 +104,11 @@ def report():
     best = gp.BestModel
     bestfit = best.GetFitness(0)
     sys.stdout.write('\r')
-    cursor = int(np.round(gen / config.Generations * max_ticks))
+    cursor = int(np.round(evaluator.TotalEvaluations/config.Evaluations * max_ticks))
     for i in range(cursor):
         sys.stdout.write('\u2588')
     sys.stdout.write(' ' * (max_ticks-cursor))
-    sys.stdout.write(f'{100 * gen/config.Generations:.1f}%, generation {gen}/{config.Generations}, train quality: {-bestfit:.6f}, elapsed: {time.time()-t0:.2f}s')
+    sys.stdout.write(f'{100 * evaluator.TotalEvaluations/config.Evaluations:.1f}%, generation {gen}/{config.Generations}, train quality: {-bestfit:.6f}, elapsed: {time.time()-t0:.2f}s')
     sys.stdout.flush()
     gen += 1
 
@@ -116,4 +118,6 @@ def report():
 # get the best solution and print it
 best = gp.BestModel
 model_string = Operon.InfixFormatter.Format(best.Genotype, ds, 6)
+fit = evaluator(rng, gp.BestModel)
+print('\nfit=', fit)
 print(f'\n{model_string}')
diff --git a/example/operon-sklearn.ipynb b/example/operon-sklearn.ipynb
index 1dac028..ad655a9 100644
--- a/example/operon-sklearn.ipynb
+++ b/example/operon-sklearn.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 1,
    "id": "1abf56db-079b-4eb2-9730-f965aa3e23f3",
    "metadata": {},
    "outputs": [
@@ -31,7 +31,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 2,
    "id": "eee9f640-6c6d-4168-a3f9-975a0e02dc23",
    "metadata": {},
    "outputs": [],
@@ -41,7 +41,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 3,
    "id": "24f98bc5-be66-4476-9c62-56168971cd85",
    "metadata": {},
    "outputs": [],
@@ -74,7 +74,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 4,
    "id": "670b96b3-5e5f-436b-b172-782e2c498912",
    "metadata": {},
    "outputs": [
@@ -82,9 +82,9 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/nix/store/1qiyzp79djd5vrj3pfwd78wfq8gf4ycv-python3-3.11.5-env/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "/nix/store/r8i5s1pmxw5l0mg9rsci53qm8sdjf67i-python3-3.11.7-env/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
       "  if pd.api.types.is_categorical_dtype(vector):\n",
-      "/nix/store/1qiyzp79djd5vrj3pfwd78wfq8gf4ycv-python3-3.11.5-env/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
+      "/nix/store/r8i5s1pmxw5l0mg9rsci53qm8sdjf67i-python3-3.11.7-env/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
       "  if pd.api.types.is_categorical_dtype(vector):\n"
      ]
     },
@@ -94,13 +94,13 @@
        "<Axes: xlabel='Obj 1 (Tree length)', ylabel='Obj 2 (-R2)'>"
       ]
      },
-     "execution_count": 30,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1800x800 with 1 Axes>"
       ]
@@ -137,7 +137,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.5"
+   "version": "3.11.7"
   }
  },
  "nbformat": 4,