@@ -115,7 +115,7 @@

    "source": [

     "# The end condition is when the \"loss\" is less than 0.1. In the context of the\n",

     "# 1D learner this means that we will resolve features in 'func' with width 0.1 or wider.\n",

-    "runner = adaptive.Runner(learner, goal=lambda l: l.loss() < 0.05)\n",

+    "runner = adaptive.Runner(learner, goal=lambda l: l.loss() < 0.01)\n",

     "runner.live_info()"

    ]

   },

@@ -475,7 +475,7 @@

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

     "\n",

     "learner = adaptive.LearnerND(sphere, bounds=[(-1, 1), (-1, 1), (-1, 1)])\n",

-    "runner = adaptive.Runner(learner, goal=lambda l: l.loss() < 0.01)\n",

+    "runner = adaptive.Runner(learner, goal=lambda l: l.loss() < 0.001)\n",

     "runner.live_info()"

    ]

   },