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use runner.live_plot() instead of adaptive.live_plot(runner) in the notebook

Bas Nijholt authored on 16/02/2018 15:47:52 • Joseph Weston committed on 16/02/2018 16:48:29
Showing 1 changed files
learner.ipynb
History View file @ 5b1cd17
... ... 
@@ -123,7 +123,7 @@
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    "metadata": {},
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    "outputs": [],
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    "source": [
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-    "adaptive.live_plot(runner)"
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+    "runner.live_plot()"
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    ]
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   },
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   {
... ... 
@@ -196,7 +196,8 @@
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    "metadata": {},
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    "outputs": [],
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    "source": [
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-    "runner = adaptive.Runner(learner, goal=lambda l: l.loss() < 0.01)"
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+    "runner = adaptive.Runner(learner, goal=lambda l: l.loss() < 0.01)\n",
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+    "runner.live_info()"
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    ]
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   },
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   {
... ... 
@@ -211,7 +212,7 @@
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     "    opts = dict(plot=dict(title_format=title))\n",
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     "    return plot.Image + plot.EdgePaths.I.clone().opts(**opts) + plot\n",
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     "\n",
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-    "adaptive.live_plot(runner, plotter=plot, update_interval=1)"
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+    "runner.live_plot(plotter=plot, update_interval=0.2)"
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    ]
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   },
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   {
... ... 
@@ -272,7 +273,16 @@
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    "source": [
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     "learner = adaptive.AverageLearner(g, atol=None, rtol=0.01)\n",
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     "runner = adaptive.Runner(learner, goal=lambda l: l.loss() < 1)\n",
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-    "adaptive.live_plot(runner)"
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+    "runner.live_info()"
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+   ]
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+  },
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+  {
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+   "cell_type": "code",
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+   "execution_count": null,
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+   "metadata": {},
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+   "outputs": [],
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+   "source": [
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+    "runner.live_plot()"
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    ]
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   },
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   {
... ... 
@@ -336,7 +346,8 @@
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    "source": [
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     "from adaptive.runner import SequentialExecutor\n",
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     "learner = adaptive.IntegratorLearner(f24, bounds=(0, 3), tol=1e-10)\n",
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-    "runner = adaptive.Runner(learner, executor=SequentialExecutor(), goal=lambda l: l.done())"
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+    "runner = adaptive.Runner(learner, executor=SequentialExecutor(), goal=lambda l: l.done())\n",
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+    "runner.live_info()"
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    ]
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   },
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   {
... ... 
@@ -410,7 +421,7 @@
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     "from adaptive.runner import SequentialExecutor\n",
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     "\n",
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     "learner = adaptive.Learner1D(f_levels, bounds=(-1, 1))\n",
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-    "runner = adaptive.Runner(learner, SequentialExecutor(), goal=lambda l: l.loss() < 0.05)"
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+    "runner = adaptive.Runner(learner, executor=SequentialExecutor(), goal=lambda l: l.loss() < 0.05)"
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    ]
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   },
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   {
... ... 
@@ -426,7 +437,7 @@
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    "metadata": {},
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    "outputs": [],
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    "source": [
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-    "adaptive.live_plot(runner)"
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+    "runner.live_plot()"
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    ]
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   },
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   {
... ... 
@@ -469,7 +480,7 @@
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    "outputs": [],
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    "source": [
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     "plotter = lambda learner: hv.Overlay([L.plot() for L in learner.learners])\n",
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-    "adaptive.live_plot(runner, plotter=plotter)"
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+    "runner.live_plot(plotter=plotter)"
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    ]
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   },
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   {
... ... 
@@ -547,7 +558,7 @@
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    "outputs": [],
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    "source": [
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     "learner.plot = _learner.plot\n",
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-    "adaptive.live_plot(runner)"
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+    "runner.live_plot()"
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    ]
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   },
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   {
... ... 
@@ -608,7 +619,7 @@
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     "\n",
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     "learner = adaptive.Learner1D(f, bounds=(-1, 1))\n",
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     "runner = adaptive.Runner(learner, executor=executor, goal=lambda l: l.loss() < 0.1)\n",
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-    "adaptive.live_plot(runner)"
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+    "runner.live_plot()"
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    ]
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   },
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   {
... ... 
@@ -632,7 +643,7 @@
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     "\n",
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     "learner = adaptive.Learner1D(f, bounds=(-1, 1))\n",
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     "runner = adaptive.Runner(learner, executor=client, goal=lambda l: l.loss() < 0.1)\n",
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-    "adaptive.live_plot(runner)"
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+    "runner.live_plot()"
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    ]
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   },
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   {
... ... 
@@ -673,7 +684,7 @@
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    "source": [
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     "learner = adaptive.Learner1D(f, bounds=(-1, 1))\n",
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     "runner = adaptive.Runner(learner)\n",
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-    "adaptive.live_plot(runner)"
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+    "runner.live_plot()"
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    ]
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   },
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   {
... ... 
@@ -718,7 +729,7 @@
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     "    \n",
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     "learner = adaptive.Learner1D(will_raise, (-1, 1))\n",
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     "runner = adaptive.Runner(learner)  # without 'goal' the runner will run forever unless cancelled\n",
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-    "adaptive.live_plot(runner)"
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+    "runner.live_plot()"
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    ]
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   },
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   {
... ... 
@@ -778,7 +789,7 @@
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     "learner = adaptive.Learner1D(f, bounds=(-1, 1))\n",
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     "runner = adaptive.Runner(learner, goal=lambda l: l.loss() < 0.1,\n",
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     "                         log=True)\n",
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-    "adaptive.live_plot(runner)"
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+    "runner.live_plot()"
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    ]
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   },
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   {