meta-pytorch · saitcakmak · Feb 9, 2022
diff --git a/tutorials/GIBBON_for_efficient_batch_entropy_search.ipynb b/tutorials/GIBBON_for_efficient_batch_entropy_search.ipynb
diff --git a/tutorials/bo_with_warped_gp.ipynb b/tutorials/bo_with_warped_gp.ipynb
diff --git a/tutorials/closed_loop_botorch_only.ipynb b/tutorials/closed_loop_botorch_only.ipynb
@@ -181,7 +181,7 @@
     "        q=BATCH_SIZE,\n",
     "        num_restarts=NUM_RESTARTS,\n",
     "        raw_samples=RAW_SAMPLES,  # used for intialization heuristic\n",
-    "        options={\"batch_limit\": 5, \"maxiter\": 200},\n",
+    "        options={\"batch_limit\": 5, \"maxiter\": 200, \"sample_around_best\": True},\n",
     "    )\n",
     "    # observe new values \n",
     "    new_x = candidates.detach()\n",
@@ -439,4 +439,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}
diff --git a/tutorials/compare_mc_analytic_acquisition.ipynb b/tutorials/compare_mc_analytic_acquisition.ipynb
@@ -92,7 +92,7 @@
     "    q=1,\n",
     "    num_restarts=20,\n",
     "    raw_samples=100,\n",
-    "    options={},\n",
+    "    options={\"sample_around_best\": True},\n",
     ")"
    ]
   },
@@ -144,7 +144,7 @@
     "    q=1,\n",
     "    num_restarts=20,\n",
     "    raw_samples=100,\n",
-    "    options={},\n",
+    "    options={\"sample_around_best\": True},\n",
     ")"
    ]
   },
@@ -227,6 +227,7 @@
     "    q=1,\n",
     "    num_restarts=20,\n",
     "    raw_samples=100,\n",
+    "    options={\"sample_around_best\": True},\n",
     ")\n",
     "batch_candidates, batch_acq_values = gen_candidates_torch(\n",
     "    initial_conditions=batch_initial_conditions,\n",
@@ -371,4 +372,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}
diff --git a/tutorials/composite_bo_with_hogp.ipynb b/tutorials/composite_bo_with_hogp.ipynb
@@ -480,6 +480,7 @@
     "                \"q\": batch_size,\n",
     "                \"num_restarts\": 10,\n",
     "                \"raw_samples\": 512,\n",
+    "                \"sample_around_best\": True,\n",
     "            }\n",
     "            sampler = IIDNormalSampler(num_samples=128)\n",
     "\n",
@@ -645,4 +646,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}
diff --git a/tutorials/composite_mtbo.ipynb b/tutorials/composite_mtbo.ipynb
@@ -163,8 +163,13 @@
     "        bounds=bounds,\n",
     "        q=batch_size,\n",
     "        num_restarts=10,\n",
-    "        raw_samples=512,  # used for intialization heuristic\n",
-    "        options={\"batch_limit\": 5, \"maxiter\": 200, \"init_batch_limit\": 5},\n",
+    "        raw_samples=512,  # used for initialization heuristic\n",
+    "        options={\n",
+    "            \"batch_limit\": 5,\n",
+    "            \"maxiter\": 200,\n",
+    "            \"init_batch_limit\": 5,\n",
+    "            \"sample_around_best\": True,\n",
+    "        },\n",
     "    )\n",
     "    # observe new values \n",
     "    new_x = candidates.detach()\n",
@@ -707,4 +712,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}
diff --git a/tutorials/constrained_multi_objective_bo.ipynb b/tutorials/constrained_multi_objective_bo.ipynb
diff --git a/tutorials/constraint_active_search.ipynb b/tutorials/constraint_active_search.ipynb