practice

Author: Dimosts

notebooks/Tutorial Demo.ipynb

@@ -10653,6 +10653,32 @@
     "           ga1.env.metrics.short_statistics], keys=[\"All Features\", \"Simple Features\"])"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "id": "bbadee2b-700d-4256-bf16-a9c26861f5e0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Practice\n",
+    "## Compare the results of different algorithms (QuAcq, MQuAcq, MQuAcq2, GrowAcq)\n",
+    "## on different benchmarks (nurse rostering, exam timetabling, murder puzzle)\n",
+    "## Use GrowAcq both with and without the prediction-based environment\n",
+    "from pycona.benchmarks import construct_murder_problem, construct_examtt_simple, construct_nurse_rostering\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "id": "ec70d315-fa07-4b14-b1e2-eb05f67eab1f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Practice 2\n",
+    "## Use different classifiers of your choice in GrowAcq\n",
+    "## and compare the results on the different benchmarks"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "0f85a24d",