cap copulas at 0.11

Author: sarahmish

examples/tutorials/7. Tuning a Pipeline.ipynb

@@ -181,7 +181,7 @@
     {
      "data": {
       "text/plain": [
-       "0.8639171383183359"
+       "0.863978563379761"
       ]
      },
      "execution_count": 6,
@@ -210,7 +210,7 @@
     {
      "data": {
       "text/plain": [
-       "0.8686773872402614"
+       "0.868554574842"
       ]
      },
      "execution_count": 7,
@@ -345,16 +345,15 @@
      "output_type": "stream",
      "text": [
       "scoring pipeline 1\n",
+      "New best found: 0.871994161365419\n",
       "scoring pipeline 2\n",
+      "New best found: 0.8723319756253888\n",
       "scoring pipeline 3\n",
       "scoring pipeline 4\n",
-      "New best found: 0.8642241881762839\n",
       "scoring pipeline 5\n",
       "scoring pipeline 6\n",
       "scoring pipeline 7\n",
-      "New best found: 0.8644390957265209\n",
       "scoring pipeline 8\n",
-      "New best found: 0.8679095503945804\n",
       "scoring pipeline 9\n",
       "scoring pipeline 10\n"
      ]
@@ -395,13 +394,13 @@
      "data": {
       "text/plain": [
        "{('mlprimitives.custom.feature_extraction.CategoricalEncoder#1',\n",
-       "  'max_labels'): 39,\n",
-       " ('sklearn.impute.SimpleImputer#1', 'strategy'): 'most_frequent',\n",
-       " ('xgboost.XGBClassifier#1', 'n_estimators'): 70,\n",
-       " ('xgboost.XGBClassifier#1', 'max_depth'): 6,\n",
-       " ('xgboost.XGBClassifier#1', 'learning_rate'): 0.07406443671152008,\n",
-       " ('xgboost.XGBClassifier#1', 'gamma'): 0.9244108160038952,\n",
-       " ('xgboost.XGBClassifier#1', 'min_child_weight'): 1}"
+       "  'max_labels'): 60,\n",
+       " ('sklearn.impute.SimpleImputer#1', 'strategy'): 'mean',\n",
+       " ('xgboost.XGBClassifier#1', 'n_estimators'): 190,\n",
+       " ('xgboost.XGBClassifier#1', 'max_depth'): 5,\n",
+       " ('xgboost.XGBClassifier#1', 'learning_rate'): 0.13575511242790694,\n",
+       " ('xgboost.XGBClassifier#1', 'gamma'): 0.6326488945712287,\n",
+       " ('xgboost.XGBClassifier#1', 'min_child_weight'): 8}"
       ]
      },
      "execution_count": 13,
@@ -443,7 +442,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -457,7 +456,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.9"
+   "version": "3.10.15"
   }
  },
  "nbformat": 4,