Pushing the docs to dev/ for branch: master, commit 438a6daf919c9694fd9b22e2618a30c8e88acfd7

Author: skoptci

dev/_downloads/0291a47bd3f63e064c434aea964d8e66/bayesian-optimization.ipynb

@@ -208,7 +208,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.5"
+      "version": "3.9.4"
     }
   },
   "nbformat": 4,

dev/_downloads/0f0d53351b0405c47cf8d0ef671596f9/interruptible-optimization.ipynb

@@ -107,7 +107,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.5"
+      "version": "3.9.4"
     }
   },
   "nbformat": 4,

dev/_downloads/227fbc11d592826e298cb4f679fc86b8/optimizer-with-different-base-estimator.ipynb

@@ -133,7 +133,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.5"
+      "version": "3.9.4"
     }
   },
   "nbformat": 4,

dev/_downloads/2836dfc666978d3b8e63b1399cca6c8a/sampling_comparison.ipynb

@@ -165,7 +165,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.5"
+      "version": "3.9.4"
     }
   },
   "nbformat": 4,

dev/_downloads/2aff3ba2ab1c0ff8a9636a15622dc4c4/parallel-optimization.ipynb

@@ -71,7 +71,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.5"
+      "version": "3.9.4"
     }
   },
   "nbformat": 4,

dev/_downloads/327b9e59a928801e7cc2b01a757db508/partial-dependence-plot.ipynb

@@ -219,7 +219,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.5"
+      "version": "3.9.4"
     }
   },
   "nbformat": 4,

dev/_downloads/3409d9766d352cc9f9b169d4a799a87a/auto_examples_python.zip

@@ -129,7 +129,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.5"
+      "version": "3.9.4"
     }
   },
   "nbformat": 4,

dev/_downloads/659de5944f8dc1f0424c48f86a240d84/hyperparameter-optimization.ipynb

@@ -116,7 +116,7 @@
       },
       "outputs": [],
       "source": [
-        "from skopt import BayesSearchCV\n\nfrom sklearn.datasets import load_iris\nfrom sklearn.svm import SVC\n\nX, y = load_iris(return_X_y=True)\n\nsearchcv = BayesSearchCV(\n    SVC(gamma='scale'),\n    search_spaces={'C': (0.01, 100.0, 'log-uniform')},\n    n_iter=10,\n    cv=3\n)\n\n# callback handler\ndef on_step(optim_result):\n    score = searchcv.best_score_\n    print(\"best score: %s\" % score)\n    if score >= 0.98:\n        print('Interrupting!')\n        return True\n\n\nsearchcv.fit(X, y, callback=on_step)"
+        "from skopt import BayesSearchCV\n\nfrom sklearn.datasets import load_iris\nfrom sklearn.svm import SVC\n\nX, y = load_iris(return_X_y=True)\n\nsearchcv = BayesSearchCV(\n    SVC(gamma='scale'),\n    search_spaces={'C': (0.01, 100.0, 'log-uniform')},\n    n_iter=10,\n    cv=3\n)\n\n# callback handler\ndef on_step(optim_result):\n    score = -optim_result['fun']\n    print(\"best score: %s\" % score)\n    if score >= 0.98:\n        print('Interrupting!')\n        return True\n\n\nsearchcv.fit(X, y, callback=on_step)"
       ]
     },
     {
@@ -154,7 +154,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.5"
+      "version": "3.9.4"
     }
   },
   "nbformat": 4,

dev/_downloads/6bf99924122eedf93b886bae30f1182b/sklearn-gridsearchcv-replacement.ipynb

@@ -183,7 +183,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.5"
+      "version": "3.9.4"
     }
   },
   "nbformat": 4,