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remove meta data cruft

Bas Nijholt authored on 31/08/2017 16:13:37
Showing 1 changed files
learner.ipynb
History View file @ 08a1ae9
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@@ -51,9 +51,7 @@
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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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-    "collapsed": true
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-   },
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+   "metadata": {},
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    "outputs": [],
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    "source": [
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     "import functools\n",
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@@ -81,9 +79,7 @@
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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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-    "collapsed": true
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-   },
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+   "metadata": {},
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    "outputs": [],
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    "source": [
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     "learner = adaptive.learner.Learner1D(f, bounds=(-1.0, 1.0))"
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@@ -101,9 +97,7 @@
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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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-    "collapsed": true
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-   },
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+   "metadata": {},
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    "outputs": [],
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    "source": [
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     "# The end condition is when the \"loss\" is less than 0.1. In the context of the\n",
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@@ -122,9 +116,7 @@
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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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-    "collapsed": true
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-   },
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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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@@ -140,9 +132,7 @@
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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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-    "collapsed": true
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-   },
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+   "metadata": {},
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    "outputs": [],
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    "source": [
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     "if not runner.task.done():\n",
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@@ -152,9 +142,7 @@
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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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-    "collapsed": true
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-   },
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+   "metadata": {},
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    "outputs": [],
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    "source": [
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     "import numpy as np\n",
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@@ -187,9 +175,7 @@
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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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-    "collapsed": true
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-   },
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+   "metadata": {},
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    "outputs": [],
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    "source": [
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     "def g(n):\n",
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@@ -207,9 +193,7 @@
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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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-    "scrolled": false
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-   },
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+   "metadata": {},
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    "outputs": [],
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    "source": [
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     "learner = adaptive.AverageLearner(g, None, 0.03)\n",
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@@ -250,9 +234,7 @@
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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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-    "collapsed": true
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-   },
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+   "metadata": {},
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    "outputs": [],
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    "source": [
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     "from concurrent.futures import ProcessPoolExecutor\n",
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@@ -274,9 +256,7 @@
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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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-    "collapsed": true
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-   },
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+   "metadata": {},
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    "outputs": [],
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    "source": [
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     "import ipyparallel\n",
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@@ -323,9 +303,7 @@
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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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-    "collapsed": true
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-   },
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+   "metadata": {},
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    "outputs": [],
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    "source": [
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     "learner = adaptive.learner.Learner1D(f, bounds=(-1.0, 1.0))\n",
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@@ -336,9 +314,7 @@
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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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-    "collapsed": true
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-   },
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+   "metadata": {},
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    "outputs": [],
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    "source": [
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     "runner.task.cancel()"
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@@ -363,9 +339,7 @@
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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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-    "collapsed": true
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-   },
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+   "metadata": {},
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    "outputs": [],
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    "source": [
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     "def will_raise(x):\n",
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@@ -394,9 +368,7 @@
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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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-    "collapsed": true
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-   },
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+   "metadata": {},
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    "outputs": [],
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    "source": [
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     "runner.task.done()"
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@@ -412,10 +384,7 @@
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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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-    "collapsed": true,
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-    "scrolled": false
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-   },
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+   "metadata": {},
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    "outputs": [],
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    "source": [
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     "runner.task.result()"