@@ -240,6 +240,48 @@

     "adaptive.live_plot(runner, plotter=lambda learner: hv.Overlay([L.plot() for L in learner.learners]))"

    ]

   },

+  {

+   "cell_type": "markdown",

+   "metadata": {},

+   "source": [

+    "# 2D learner"

+   ]

+  },

+  {

+   "cell_type": "code",

+   "execution_count": null,

+   "metadata": {},

+   "outputs": [],

+   "source": [

+    "def func(arg):\n",

+    "    import numpy as np\n",

+    "    x, y = arg\n",

+    "    a = 0.2\n",

+    "    return np.exp(-(x**2 + y**2 - 0.75**2)**2/a**4)\n",

+    "\n",

+    "learner = adaptive.learner.AdaptiveTriSampling(func, bounds=[(-1, 1), (-1, 1)])"

+   ]

+  },

+  {

+   "cell_type": "code",

+   "execution_count": null,

+   "metadata": {},

+   "outputs": [],

+   "source": [

+    "from concurrent.futures import ProcessPoolExecutor\n",

+    "executor = ProcessPoolExecutor(max_workers=2)\n",

+    "runner = adaptive.Runner(learner, executor, goal=lambda l: l.loss() > 2000)"

+   ]

+  },

+  {

+   "cell_type": "code",

+   "execution_count": null,

+   "metadata": {},

+   "outputs": [],

+   "source": [

+    "adaptive.live_plot(runner)"

+   ]

+  },

   {

    "cell_type": "markdown",

    "metadata": {