updated documentation
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@ -1057,76 +1057,34 @@
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},
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{
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"cell_type": "code",
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"execution_count": 49,
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"execution_count": 59,
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"metadata": {},
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"outputs": [],
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"source": [
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"def train():\n",
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"def train(max_size = 10000):\n",
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" clf = OVRC(DTC())\n",
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"\n",
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" clf.fit(vec_train[:10000], y1[:10000])\n",
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" clf.fit(vec_train[:max_size], y1[:max_size])\n",
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" \n",
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" return clf"
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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": 50,
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/home/jonas/.local/lib/python3.6/site-packages/sklearn/multiclass.py:76: UserWarning: Label not 889 is present in all training examples.\n",
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" str(classes[c]))\n",
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"/home/jonas/.local/lib/python3.6/site-packages/sklearn/multiclass.py:76: UserWarning: Label not 897 is present in all training examples.\n",
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" str(classes[c]))\n",
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"/home/jonas/.local/lib/python3.6/site-packages/sklearn/multiclass.py:76: UserWarning: Label not 898 is present in all training examples.\n",
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" str(classes[c]))\n",
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"/home/jonas/.local/lib/python3.6/site-packages/sklearn/multiclass.py:76: UserWarning: Label not 901 is present in all training examples.\n",
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" str(classes[c]))\n",
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"/home/jonas/.local/lib/python3.6/site-packages/sklearn/multiclass.py:76: UserWarning: Label not 902 is present in all training examples.\n",
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" str(classes[c]))\n",
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"/home/jonas/.local/lib/python3.6/site-packages/sklearn/multiclass.py:76: UserWarning: Label not 903 is present in all training examples.\n",
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" str(classes[c]))\n",
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"/home/jonas/.local/lib/python3.6/site-packages/sklearn/multiclass.py:76: UserWarning: Label not 907 is present in all training examples.\n",
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" str(classes[c]))\n",
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"/home/jonas/.local/lib/python3.6/site-packages/sklearn/multiclass.py:76: UserWarning: Label not 908 is present in all training examples.\n",
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" str(classes[c]))\n",
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"/home/jonas/.local/lib/python3.6/site-packages/sklearn/multiclass.py:76: UserWarning: Label not 909 is present in all training examples.\n",
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" str(classes[c]))\n",
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"/home/jonas/.local/lib/python3.6/site-packages/sklearn/multiclass.py:76: UserWarning: Label not 910 is present in all training examples.\n",
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" str(classes[c]))\n",
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"/home/jonas/.local/lib/python3.6/site-packages/sklearn/multiclass.py:76: UserWarning: Label not 911 is present in all training examples.\n",
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" str(classes[c]))\n",
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"/home/jonas/.local/lib/python3.6/site-packages/sklearn/multiclass.py:76: UserWarning: Label not 913 is present in all training examples.\n",
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" str(classes[c]))\n",
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"/home/jonas/.local/lib/python3.6/site-packages/sklearn/multiclass.py:76: UserWarning: Label not 914 is present in all training examples.\n",
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" str(classes[c]))\n",
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"/home/jonas/.local/lib/python3.6/site-packages/sklearn/multiclass.py:76: UserWarning: Label not 915 is present in all training examples.\n",
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" str(classes[c]))\n",
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"/home/jonas/.local/lib/python3.6/site-packages/sklearn/multiclass.py:76: UserWarning: Label not 918 is present in all training examples.\n",
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" str(classes[c]))\n",
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"/home/jonas/.local/lib/python3.6/site-packages/sklearn/multiclass.py:76: UserWarning: Label not 919 is present in all training examples.\n",
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" str(classes[c]))\n",
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"/home/jonas/.local/lib/python3.6/site-packages/sklearn/multiclass.py:76: UserWarning: Label not 924 is present in all training examples.\n",
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" str(classes[c]))\n",
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"/home/jonas/.local/lib/python3.6/site-packages/sklearn/multiclass.py:76: UserWarning: Label not 925 is present in all training examples.\n",
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" str(classes[c]))\n",
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"/home/jonas/.local/lib/python3.6/site-packages/sklearn/multiclass.py:76: UserWarning: Label not 926 is present in all training examples.\n",
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" str(classes[c]))\n",
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"/home/jonas/.local/lib/python3.6/site-packages/sklearn/multiclass.py:76: UserWarning: Label not 927 is present in all training examples.\n",
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" str(classes[c]))\n",
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"/home/jonas/.local/lib/python3.6/site-packages/sklearn/multiclass.py:76: UserWarning: Label not 928 is present in all training examples.\n",
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" str(classes[c]))\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"clf = train()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"* make a prediction and store it in a csv file:"
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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": 51,
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@ -1675,13 +1633,20 @@
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},
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{
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"cell_type": "code",
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"execution_count": 52,
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"execution_count": 60,
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"metadata": {},
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"outputs": [],
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"source": [
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"testlist.to_csv('test.csv')"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"* a simple output widget for testing:"
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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": 58,
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