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amuelleramueller
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don't plot anything in notebook
1 parent 5de31c3 commit 9ba8515

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Lines changed: 38 additions & 24 deletions

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‎examples/OpenMLDemo.ipynb‎

Lines changed: 38 additions & 24 deletions
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@@ -73,7 +73,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"execution_count": 2,
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"metadata": {
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"collapsed": false
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {
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"collapsed": false
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@@ -116,7 +116,7 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"First 10 of 3307 datasets...\n",
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"First 10 of 3335 datasets...\n",
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" did name NumberOfInstances NumberOfFeatures\n",
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"0 1 anneal 898 39\n",
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"1 2 anneal 898 39\n",
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},
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{
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"cell_type": "code",
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {
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"collapsed": false
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"execution_count": 6,
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"metadata": {
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"collapsed": false
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"execution_count": 7,
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"metadata": {
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@@ -335,7 +335,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {
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@@ -374,13 +374,13 @@
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},
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{
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"cell_type": "code",
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"execution_count": 17,
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"execution_count": 9,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"iris.plot(kind='scatter', x='petallength', y='petalwidth', c='class', s=50);"
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"# iris.plot(kind='scatter', x='petallength', y='petalwidth', c='class', s=50);"
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]
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},
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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": 18,
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"execution_count": 10,
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"metadata": {
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"collapsed": false
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@@ -408,7 +408,7 @@
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" warm_start=False)"
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]
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},
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"execution_count": 18,
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"execution_count": 10,
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"metadata": {},
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"output_type": "execute_result"
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}
@@ -422,7 +422,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 19,
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"execution_count": 11,
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"metadata": {
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"collapsed": true
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@@ -458,15 +458,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"X_2d = X[:,2:4]\n",
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"clf.fit(X_2d, y)\n",
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"plot_surface(clf, X_2d, y)"
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"# plot_surface(clf, X_2d, y)"
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]
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},
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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": 21,
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"execution_count": 13,
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"metadata": {
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"collapsed": false
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" warm_start=False)"
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]
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},
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"execution_count": 21,
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"execution_count": 13,
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"metadata": {},
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"output_type": "execute_result"
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}
@@ -529,11 +529,25 @@
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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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"execution_count": 14,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"outputs": [
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{
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"ename": "TypeError",
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"evalue": "int() argument must be a string, a bytes-like object or a number, not 'NoneType'",
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"output_type": "error",
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"traceback": [
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"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)",
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"\u001b[1;32m<ipython-input-14-7653a7076e49>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mtask_list\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mopenml\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtasks\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mlist_tasks\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[0mtasks\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtask_list\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"First 5 of %s tasks:\"\u001b[0m \u001b[1;33m%\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtasks\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtasks\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;36m5\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'tid'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'did'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'name'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'task_type'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'estimation_procedure'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
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"\u001b[1;32m/home/andy/checkout/openml-python/openml/tasks/task_functions.py\u001b[0m in \u001b[0;36mlist_tasks\u001b[1;34m()\u001b[0m\n\u001b[0;32m 136\u001b[0m \u001b[0mthe\u001b[0m \u001b[0massociated\u001b[0m \u001b[0mdataset\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msome\u001b[0m \u001b[0mof\u001b[0m \u001b[0mthese\u001b[0m \u001b[0mare\u001b[0m \u001b[0malso\u001b[0m \u001b[0mreturned\u001b[0m\u001b[1;33m.\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 137\u001b[0m \"\"\"\n\u001b[1;32m--> 138\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0m_list_tasks\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'task/list'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 139\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 140\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
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"\u001b[1;32m/home/andy/checkout/openml-python/openml/tasks/task_functions.py\u001b[0m in \u001b[0;36m_list_tasks\u001b[1;34m(api_call)\u001b[0m\n\u001b[0;32m 160\u001b[0m \u001b[0mproc_dict\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mdict\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'id'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mprocs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 161\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mtask_\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mtasks_dict\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'oml:tasks'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'oml:task'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 162\u001b[1;33m task = {'tid': int(task_['oml:task_id']),\n\u001b[0m\u001b[0;32m 163\u001b[0m \u001b[1;34m'did'\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtask_\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'oml:did'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 164\u001b[0m \u001b[1;34m'name'\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mtask_\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'oml:name'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
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"\u001b[1;31mTypeError\u001b[0m: int() argument must be a string, a bytes-like object or a number, not 'NoneType'"
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]
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}
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],
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"source": [
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"task_list = openml.tasks.list_tasks()\n",
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"\n",
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"metadata": {
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"collapsed": false
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{
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"execution_count": 16,
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"metadata": {
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"execution_count": 17,
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Uploaded run with id 538148\n",
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"Check it at www.openml.org/r/538148\n"
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"Uploaded run with id 538163\n",
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"Check it at www.openml.org/r/538163\n"
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]
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}
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],

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