From 27c025f66c82b4f9b905f6918ff2e34ed9a3b920 Mon Sep 17 00:00:00 2001 From: Lin Yong Date: Tue, 6 Jun 2017 15:49:44 +0800 Subject: [PATCH] fix the warning in sgd_separator for the decision_function() --- notebooks/02.1-Machine-Learning-Intro.ipynb | 94 ++++++--------------- notebooks/fig_code/sgd_separator.py | 6 +- 2 files changed, 29 insertions(+), 71 deletions(-) diff --git a/notebooks/02.1-Machine-Learning-Intro.ipynb b/notebooks/02.1-Machine-Learning-Intro.ipynb index 0b08b63..1355b7b 100644 --- a/notebooks/02.1-Machine-Learning-Intro.ipynb +++ b/notebooks/02.1-Machine-Learning-Intro.ipynb @@ -68,9 +68,7 @@ { "cell_type": "code", "execution_count": 1, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", @@ -83,25 +81,13 @@ { "cell_type": "code", "execution_count": 2, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/jakevdp/anaconda/envs/python3.4/lib/python3.4/site-packages/matplotlib/collections.py:650: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n", - " if self._edgecolors_original != str('face'):\n", - "/Users/jakevdp/anaconda/envs/python3.4/lib/python3.4/site-packages/matplotlib/collections.py:590: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n", - " if self._edgecolors == str('face'):\n" - ] - }, { "data": { - "image/png": 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z6lFRUY6//vUJLFq0RLB+aWkpsrOzodVqkZLS5+pp3FCkpdm+Uej++x/C/fc/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\nntM6kK4AAAABSURBVAVYUolnAAAAAElFTkSuQmCC\n", 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EQYDJZIZWq0241nTu3IN2h3EsThghokIw6CAOhUK44YYbsHXrVkilUtxxxx2o\nqalJZ9uoj2AwuDs8IyE6adIUqNVqeL1e3HffvXFrTG02G5YtuwwnnbQEAHDaab/AN998Hfe+hx22\nCHcfshhbur3oatuFn9Z+Ca3BCKPRhLqqShiNJhQVFUEURQiCgPHjJ+Kee/4WVwXJZDJBp9szSzCV\nSkjV1fyeIaKRbdBB/N57kdJ2//nPf/D555/jjjvuwP3335+2hhWqnjADgO3bt2Hz5k0xl3j9fjfc\nbj9uueU2AMDHH3+ISy+9CDabDU5n7Ojvvfc+xeTJUyCVSnHnnbfFnctgMKK7uzv69aJFR2LKlGm9\nRqeR8KypqUWFVoFStRwVv74SV191Dcq1yZculZWV4YwzzkpXlxARjWiDDuJDDz0UCxYsABBZylFS\nUpKuNuW8cDiM7m57XKGGqVOnRSch/fGPt2P9+nVx91EPO+xwPPDAYwCAxx9/BPfdd2/c+2u1umgQ\nKxSRWbl1dfVxhRqMRiMAQC6XY+XKF2EwGKITlAwGI6TS2CC94opr+v1cMomAhqLU1r0REVF6DLmg\nx7XXXotVq1bh3nvvxdy5c9PVrmEXCdNuuFwuVFZGJv1s374db731Frq6umC1WmP+9/jjj6Oqqgo2\nmy16mbave++9F5dcEqmZO2fOHHz6aWQtqlarRVFREcxmMw4//HDcfffdAIB33nkHq1evhtlsjvvf\nuHHjMtQTRESUTWmprNXe3o6TTz4Zr776KjQaTT/PG56JNS0tzejs7Izby7Surh5HH30sAODhh+/H\nypX/iR632+0Ih8MoLS3D999vBAC89dbrOOOMUxKe4+23P8S0aTMQDodx/PFHwWg0Rosz9FzinTVr\nLiZNmhxtk0wmh9FohEKR+n6tnICUOvZVathPqWE/pW4k95XH44lbbhn5OvYxu92GVasGnicDDOHS\n9AsvvIDW1lb88pe/jO752fdSaCpEUYTb7Y75QDNn7geVSgWn04m///0vCWv1Xnvt9TjuuF8AAJYs\n+QXWrfsh7r2POurYaBC3tbVh/fp1MBpNKC0tw7hxE2AyRf7dY9q0GfjHPx7afenXHHMpuKdwg0Qi\nwYsvvj7g5yovr9jrviAiouHn9Xp7ZU5kAmyinOm9NLPna5/Pl/b2DHpE7Ha7cd1116GjowPBYBDn\nn38+Dj300KTPv/TSSxEIiPjd724HAKxa9QYuu+xi2O02BAKBmOd+9tlXGD16LJxOJxoaYgNNLpfD\naDThxhvPD6jBAAAgAElEQVRvxamnngEAuOeeP6Kjo73PLF4zqqtroiPUcDgcs3NMrhrJf2nuLfZV\nathPqWE/pS4X+qr3Xto2mzVhaPZeQdL7cY/Hk/J5evbS7rtKpG/J2t7zd3quktbXpzYgy9imD4Ig\noKioCOvXbwMAfPLJR7jqqssSfsBzzjkfZWWjIIoiVq/+NOYDajSapPuaFoJc+AbPF+yr1LCfUsN+\nSl26+ioQCMBut0eXZPbdSzvZqLTvXtoDEQQBRqOxT2iak4Trnrwxm8397qU9kJzb9GHNmjUQxT33\nSufMmYfPPotf09qbIAiYNWtOv88hIqLs2bOXdvLQTDQqtVqtcLmce3Uug8GYcC/tvksy+wZs3720\nc03Ggnj69On8a5OIKAf1LMlMNUydzm50dkZWlzgc3QOfoBedTg+z2Yz6+oZ+LvnGP55oSWahYIlL\nIqICIIoiHI7uhGGaPGAj4drdbU+4JDMZrVYbnYfTX5jGPrb3e2mPFOwRIqIc0Xcv7eSj0vjlMz1L\nMlOlVqthMplRUVGBiRMnpXCJ1xwtJFRZWcwrnGnEICYiSqPeSzITh2lX0slIfffSHohSqYTJZEZp\naRnGjh0fM8ko/hJvUcIlmZR9DGIiogR69tKOvcSb2jKZvksy+yOXy2EymRPupR0bpua40WrfvbQp\nPzGIiahg+Xy+pJd0+4apy+VAe3vHoAo39N5Lu7a2NsElXnPSgC30JZk0MAYxEeW0QCAQU0Zwb5bK\nDLZwQ2Vl5V6tOdVqdQxTGjQGMRENu757afeezZtsjelQCzeMGzehn/ul8ROS6usr0NmZ+rmI0oVB\nTEQp6Vu4IZWCDT1f991LeyA9hRtGjx6TdI1pooA1GIyDLtyQywUfqLAxiIlGkL6FG1IJ0Z7/dnfb\n9+pcOp0eJpMJtbV1exWmRqOpYAs3ECXCICbKM+FwGE6nI2GIJnrM5epGR0fnoAo3aDRamEwmVFZW\nYcqUqQlD02TqG6iRwg1yuXwYe4GocDCIibJAFMVeYdrfaNQaF67pK9yQbJRaFC3csDd7aRPR4DCI\niQYpUgXJlVL1o0SXekOhUMrnUqlU0b20ewo3JL/UG/t4VVUJqyAR5TAGMY1ooihGCzfEh2l8GcG+\no9e9KdygUChgNJpQVFSMhoYx/RS4771UhoUbiAodg5gKgtfrTXCfNLU1p36/P+XzxBZuqEtS4N6c\ncEKSWq3mWlMiisMgppzh9/v77Aoz0JKYyFZsNpsVXq835fNIpdLoWtOqqqqkZQQThalWq2WYElFa\nMYgprQKBAOx2e9wko4Eu8dpsVrjd7pTPIwhCdN3ohAkTU6p+1POYTqdnmBJRzmAQU5y+hRsGKiPY\n+3kul3OvzhUp3GDGmDHj4kKz733S3ktk9HoDysqMnIRERHmPQVyg+hZu2JswdTi69+pcOp0eZrMZ\n9fUNKSyN2ROmBoORhRuIaMRjEOcwURThcHQnDNPkAWsddOEGs9mM6uqafsM09rFI4QaZjN9GRESD\nxd+gwyyy1tSZQoF76+4qSI7dVZCsaSzcEF/gvvfsXhZuICLKHgZxCkRRhNvt7ueSrjXppV+73Y5g\nMJjyuZRKJUwmc0zhhuQ7yBTFfK1UKoexF4iIaDiMqCDuKdwQe4nXmtI91L0p3CCXy2EymVFUVIz6\n+tH9hKk5brRaU1PKCUhERCNI3gWxz+fbqzKCvcPU5/OlfJ7Ywg21/ZYR7BuwGo2Gy2OIiApAMBiM\nLsnsyRhBkODggxcCAD7/fDVWrPhXwhxKdRVJVoI4EAjsdfWjnq89Hk/K55FIJNFwrKys7BOa/a85\n1Wp1DFMiogLQsyRTrdZEy8W+9toraGtrjbvVuGDBITjrrHMBAJdffjFWrHgy7v1Gjx6Dzz77GgDQ\n2LgDTz21PHqs917aqcpYEE+fPj26FZvb7Ur5dYIgRKsgjRs3oZ/7pfETknQ6PTf7JiIqEG63G21t\nrQkHaRdddAnkcjmamhpx6aUXJdxL+7HHluPoo48FANx442+wc+eOuHMYjcZoEDc0jMacOfPicmfU\nqPLo8w87bBFWr/5mSHtpC+LerHEZgp5GprrGtPda05EUphaLnveIU8S+Sg37KTXsp9QNtq/6Lsk0\nGIyora0DALzyyktYs+bruKuiFRWVeOKJFQCAJ554DFdffXnC9/7++00oLS1FS0szpk+fEN1Lu3e2\nXHTRMhx44GwAwAsvPIdwONwnh9K7l7bFok/peRkbEdtsNn6TExHlOVEUozUKXC4Xvvnmq4S3Es8+\n+zxMnjwFALBo0QJs27Y1bknm+edfiD/84Y8AgNdffwUrV/4n5lxqtTpmaeWECZNwyimnJRzM6fWR\n0Bs1qhyNjR0DLsk87rhfDL0z0iTvJmsREdHQ9F2S2fNfhUKOhQsPBwB8+OH70UlIvS8B2+2Rin0A\n0NzchBNOODrhOebOnRcNYplMnnBJ5qxZc6PPv+SSX+Oss87rd0nmAQcciAMOOLDfzyYIQt7VRWAQ\nExHlqZ4lmQaDERqNBgDw3HPPoKOjPW4C7OLFR+HMM88BAJx//tl46aX/xr3f5MlTo0Hc2LgTzz//\nLIDYvbTr60fv3u1MgbKyMlx55bW9wrUoGqJVVdXR93311VUDfpYJEyYOtTvyFoOYiCjLHI5uNDc3\nxy3JtNlsuPLKayGRSLBly2ZceulFMeHasyRzxYqVOPTQRQCAG2+8Dh0d7XHnqK6uif57ypSpcDod\ncQWCKisro8855pifY8GCQ2AymeP20i4ujtwjNhiMuPba64erW0YMBjER0RD13UvbYilFXV09AODZ\nZ5/G2rXfxN1HbWgYg3/+898AgKeeWo4bbvhNwve+4IKLYDSaIAgCvvzyi7glmSZTZKTa4667/gxB\nkMStJtFqddHnXH75VQN+Jr3eAL3eMJRuoRQxiIloRGlb/RI6vn4L/u4uKM1lKD3wGBRPPySmFK3D\n0Y3//e9zWK3xteEvuuiS6GXU2bP3RXNzc9ySzGXLLsdNN/0OAPDmm6/jxRefjx7rWZJZXl4RfWzq\n1Ok488xzE26wolZHLjnX1dWjublrwFUkxxxz3NA6iDKOQUxEBSMUCkW3/+w9wUir1eKwwxaj6e1/\n4fmH/4RVGzvg9Ifh8ofgDDwJd1gKt9eLpqZOyGQybN++HUuWJJ5Vu3jxUdEg7gnKvnUM5szZMwnp\nmmt+i2XLLut3SeasWXMwa9acfj+bIAgsMlSgBhXEgUAAv/3tb9HU1AS/34+LLroICxcuTHfbiCjN\nRFGEGApCkMpy9pd67720S0vLopOQnnzyn7Bau/pc4rXhhBNOxOmnnwkAWLr0FLz99ltx7zlz5r5Y\nePAhaFv9EtocHqxujJQeVMsk0CkkGKVXo/qAA+D1eqDT6VFZWYnrr785YeGg3sUcXnvt7QE/z9ix\n49LRLVTABhXEL730EkwmE+6++25YrVYcf/zxDGKiHCaKIppW/ROda95FoLsdClMpimcejoqDTx/W\nQLZau9DYuDNmhNqz3edvfnMjAGD9+nW45JILo+Vu7fY9e2k/99zLmDdvPgDg1ltvjFZI6m3GjH2i\n/95vv/0hlyviCjlUV1fD1bQR3vYdOLjOiLk1emjlUkglkc8uVWpw6F+fR7cv8ivRbC7CZZddOWz9\nQtTboIJ48eLFWLRoUfTrwZT0IqLM2fnaA2ha9QQgRoopBBxdcDX+BDHgR9WicxO+JtFe2hUVlWho\nGA0AWL78CXz77Zq4Wr2TJ0/FY49F6vM++eQTuO22mxO+/69/fU10nehPP62H0RgpHTh+/MRogPae\nhPTXv94HpVIRVyu+95rRK664JmkfeLt2QaJUQw0P1Ii9NCxV6yBTqQFf6rusEaXLoIJYq9UCAJxO\nJy699FJcfnnikmN9pVrua6RjP6WOfdU/URThsHXBuvYdQAzD4Qvhh3Y3nP4QXP4wfFv+DsMn62Gz\n23HzzTdj/PjxEEURFRUV6OjoiNtL+6abbsKtt94KAHjvvbfw8ssvR48plUqYzWaoVPLo/y8LFx6E\n7u5LUVRUBLPZHPO/UaNMkMlkKCn5Gdxu94Cf5eyzTxtaZ1j0aJq4P9rWfBB3qHTKLEgVKlgsqqGd\nYwThz176DLrWdEtLCy6++GKcdtppOPHEE1N6DUtcDoz1blM3kvrK6/X2urS7579mcxEWLToCAPDy\nyy/gqaeWx9XqFUURz544GoIgYEOHB9es2p7wHE8//d/o1m5HHnkoAMRd4p079yDMmTMPALB580YE\nAsHoc3p2tcll3q4WbHryZji2fhu5OiBTwDhmX4w96zZU1FaMmO+noRpJP3tDMay1pjs6OnDuuefi\npptuwqxZswbzFkQjTs9e2na7DVVV1dBoNAiHw3j00QcTbgN6xhlnYcmS0wEAp512Ij7++MO495w9\ne240iBsbG/H222/F7aVdXGSCoHUCbhtG6eQ4d59SaBUS6BVSmIpKsN/F/w9FpaNQUmKJvm8qk5BG\njx6bpp7JHFVROSZf+iCsP3wEz65t0NZMhGncz7LdLBrhBhXEDzzwALq7u3HffffhvvvuAwA8/PDD\nUKl4WYdGhra2NmzfvjWuVq/X68X110fuia5Z8zUuu+xX0XDtvZf2K6+swv77HwBBEHDrrTfC7/fH\nvL9EIsGCBYdEv54zZx5KSkp2L5MxR0epvaslnXXWuVi69GxotdqYCVgWix6f3nMFOr58HUaVDD+f\nUBQ9VjprMUbP2Dft/ZPLBEFA0ZSDgCkHZbspRAAyuA0iwEvTqeAln9QNtq+CwWBcKcG6uoboJKSH\nH74f33//Xdwodb/99scjjzwBALj77jtw9913xL23IAhoabFCIpHg22/X4Be/ODa67KX3UpgLL7w4\nuqzlzTdfh1qtjtkGNJ17aVsseuxqbMPmFb+Hbf1qhLxOSDUGmCbOxphTr4dErhz4TUYA/uyljn2V\nmpzbBpEonUKh0O4dYCIz9tvb2/Hxxx/EVUGyWq24+ebfo76+AcFgEOPG1cLpjP8Fcv31N0eXq6xa\n9Sbef//d6DGDwQiTyRRdzwoABx44G8uWXR63xtRkMkWfM23aDGzcGL/xeF89l5aHk1Spxrhzboen\nownupg3QVU2Esrh84BcS0bBjEFNWORzd6OrqilkCY7VaUVpahiOOOAoA8MwzT+Hpp1fEhKzD0Q2t\nVostW5oBABs3bsAvf5l4Gc4FF1yE+voGyGQyTJgwESqVKq5Qw+zZeyoh3XXXPRBFMXo80fK8efPm\nR9e35hN1SSXUJZUDP5GIMoZBTEMiiiKcTkf08u2YMeOgVqsRCATwwAP/6HMPNfKc88+/CCedtAQA\ncMopJ+DLL7+Ie98FCw6JBnFzcxM++ugDaDRamEwmVFZWwWQyoazMgnA4DIlEgjFjxuHOO/8cU2aw\nZ0eZ3qPUVCYh1dc3pKl3iIgGxiCmGE1Njdi2bWtcrd5QKIQbb4ysH129+jNcdtlF0SpIoVAo+vp3\n3vkIU6dOh1QqxW233Yy+UxDUajU6OzuiXy9ceBhGjx4Tt0ympqYu+pwLL1yGX/3q0rjNvnvfpyot\nLcW5556f7u4gIhp2DOICIYoi3G53zDZrNpsNEyZMjE5C+utf/4x1636Iu4960EEL8MADjwEAHn/8\nEdx77z1x769SqaJBLJNJ4XK5UFJiwejRY2MmGRkMRgCRWb8rVqyETmeIGaX2nVl/5ZXXDvjZOBuf\niAoZgzjHeDwetLe3w2KJrOlsaWnGBx+8F7fG1G634e67/x8qK6vgdDoxfnwtAoH48ny/+93tuPDC\nZQCAd95ZhdWrPwUAyOVymExmmM1FMWUE582bD5lM1itczdEQFUURgiBgv/32x/ffbxzwsyxceHg6\nuoSIqKAxiIdJR0cHuro6d49O9+wYU1lZjSOPPBoA8M9/PoqVK/8TE64+nw/FxcVYt24rAGDduh9w\n6aUXJTxHa+suVFZWQavVYsaMmdDr9TGzd41Gc8wkpH/84yFIpVIYjZEZwImK/c+ffzDmzz94GHqE\niIgSYRAnEQgEYiYZTZkyDSqVCm63G/ff/7eYYz3/vuyyK3HCCScBAE455Xh8993auPddvPioaBDv\n2tWCr776X3TEWVlZCYulBAaDOfr8SZOm4C9/+XvMyLTnUq9WqwMQWbv66qurBvxMvYs/UP4IB3zo\n+PptAGEU73MYpApeqicqJAVd0KPnUioAbN26BVu3bo7uJNNzqVcqleLmm38PAHj//Xfx618vg9Vq\nhdvtinmvjz76AuPHT4DH40FtbVnMMUEQYDAYccMNt+CssyJLaP70pzvR0tISc//UZDKjtrYW06bN\nABAJe5lMFlcFiQvlUzMS+qpt9ctofPuf8LXvBAAoi6tQuXApyuYcn/J7jIR+Sgf2U+rYV6kpmIIe\noVAoroyg3W7DtGkzopOQ7rzz99iwYUPcfdTFi4/Effc9DAB47LGH8OCD98W9v9FoigaxUqmEVCqN\nmcXbE6AGgwFAZNbvypUvwmg0Rkeper0hbq3pVVf9ZsDPJpfLh9Q3VNhczZuw7cV7EXLv2YPX19mI\n7S//HdrqCdDVTMxi64goXTIWxDabDc3Nu1BRESkmsH37Nrz//rtxIWuzWXHffQ+jrGwUOjs7MXFi\nfcL3u+uue6JB/P777+Lrr78CAOh0kfuktbV10XMBwKGHLkJxcUlcFSSjcc8a01mz5uDLL78b8LPw\nHiplQttnL8WEcI+Qx4G2z19iEBMViIwFsdlsRkVFJdasWQcA+PHHH3D11Yn3Me7o6EBZ2SgYDAbM\nnj03rgqS0WjCrFlzos9//PF/Qy5XwGg0Jh1lchIS5Zugpzv5Mbczgy0houGUsSA+9thjYTbv2WZt\nxox9cN99D/cK2J5dZYzRwg1yuRwvvPDagO9dXl4xbO0mAoBwMICdrz0I+8b/Iez1QF0xGuULToOh\nfuqwnVNdVpf8WCkn3hEViowF8Ysvvhhzc7+8vAInnnhKpk5PNCQb/3Ujutbu2QjC07YNzu3fY/y5\nfxy2S8TlB52MrjXvwNW4IeZxdcVYjJq/ZFjOSUSZl/OTtYgywfrjp+j8ehWCXifUpTUoX3AaFIZI\noZPuzd/A+sPHca/xW1vR8uF/MPaMW4elTVKlBuP+709ofP0hOLZ+CwDQ1U5G9REXQK5JbTbm3hBF\nEc3vPAnrD58g6OmGurQWow46GcYxM9N+LiLag0FMI17TO//CztcfgRjwAgCsAKw/fIJx590FTWkt\n7Bu/ghj0J3ytp3XgbQ6HQmUuw5jTbhzWc/TY+uyf0PrxswAiKxo9LZvh2LoWY5b+DqZxP8tIG4hG\nIgYxjWgBVzdaPnw6GsI9PLu2YMNDV0AiVyHgsiV9vUytG+4mZoS3qwUdX7+FnhDuEejuxK4PnmYQ\nEw0jBjGNaJ1fv4WArT3hMe/uIhpJCRKYp8wbhlZlnvX7jxIulQIAT+vWDLeGaGRhENOIJpErBn5S\nAlKtCZb9FmPUvJPS3KLsUJhKAQjoOyIGAKlKm/H2EI0kDGIa0YpnHo6mt58YePS7m75hOoqmH4Li\n6QdDaR41zK3LnKIpB0FbMwGuHevijpnGH5iFFhGNHJJsN4Aom6QKFaoWnw+5viil52sqxqJiwakF\nFcIAIEgkqD/xGmirxkcfkyjVKJ65CFVHXpDFlhEVPo6IacSz7LcY+vrpaP30eYQ8TkhVOuz6+FmE\nfbEbf0hVOpTuf1SWWjn89LWTMfWKx9HxzTvw29tgHLc/dNWRYPbbO9C06nE4d66HIJXC0LAPqhad\nC4lcmeVWE+U/BjERAFVxOWqPuTj6tcJkQfO7T8JvbY18bS5DxSFLoaudnK0mZoQglcGy36KYxwJu\nB9Y/fAVcO9dHH3NsXgNX43pMuOAvECS8sEY0FAxiogTKDzoZlv2PRMf/XgcAlPzsCMhUhbFUaW+1\nvLs8JoR72NatRsfXb8Gy3+IstIqocDCIiZKQqXQFMyt6KNwtm5IcEeHY+i2DmGiIeE2JiPolUaj7\nOabKYEuIChODmIj6VTxtASCJv3gm1RhQNuvnmW8QUYHhpWkqCAGXHa2fPI+Q1wXDmJkwTZwFQRCy\n3ayCULzPoajYsQ6tn72AkCeyg5pcX4yqRedBXVqb5dYR5T8GMeW9jq9XYfuL98Jvi8xwbn5vBYqm\nzMXYs/4AiUye5dZlXzgYwK6Pn4ercT2kSg0sBxwDbcXovXqP2p9fgtLZx6Hz61WRmdUHHAOF3jxM\nLSYaWRjElNdCPg92vHJfNIQBAOEgur59H41vPoqaoy7MXuNyQNDjxGcPLEPnui+ij7V98QpqjroI\no+b+ArafvkTrx8/C07YDMq0eRZPnofzg0xNeTVBbqlG16NxMNp9oRGAQU15r+/wV+DqbEh7r3vhV\nhluTe3a+/nBMCANAyN2NplX/hNxQjC3P3Imgoyt6zLFpDXy2VtSfcGWmm0o0YnGyFuW1kN+d9Fg4\n6MtgS3KTY+u3CR/321qx9dm7Y0I4QkT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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -124,7 +110,7 @@ "could now **predict** whether it's a blue or a red point.\n", "\n", "If you'd like to see the source code used to generate this, you can either open the\n", - "code in the `figures` directory, or you can load the code using the `%load` magic command:" + "code in the `fig_code` directory, or you can load the code using the `%load` magic command:" ] }, { @@ -138,23 +124,13 @@ { "cell_type": "code", "execution_count": 3, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/jakevdp/anaconda/envs/python3.4/lib/python3.4/site-packages/matplotlib/collections.py:590: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n", - " if self._edgecolors == str('face'):\n" - ] - }, { "data": { - "image/png": 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V5TVotaHQ65td/rneiGPhzBvHw2Rp7673nWzvrjPvG4xHJ8ZDpZT3+u/ijePh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\nIeDBUf3xyylDERTAfzoiIn/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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -238,9 +214,7 @@ { "cell_type": "code", "execution_count": 4, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -354,9 +328,7 @@ { "cell_type": "code", "execution_count": 5, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "from sklearn.datasets import load_iris\n", @@ -366,9 +338,7 @@ { "cell_type": "code", "execution_count": 6, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -388,9 +358,7 @@ { "cell_type": "code", "execution_count": 7, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -410,9 +378,7 @@ { "cell_type": "code", "execution_count": 8, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -431,9 +397,7 @@ { "cell_type": "code", "execution_count": 9, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -454,9 +418,7 @@ { "cell_type": "code", "execution_count": 10, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -481,9 +443,7 @@ { "cell_type": "code", "execution_count": 11, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stderr", @@ -570,9 +530,7 @@ { "cell_type": "code", "execution_count": 12, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "from sklearn import datasets" @@ -581,9 +539,7 @@ { "cell_type": "code", "execution_count": 13, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "# Type datasets.fetch_ or datasets.load_ in IPython to see all possibilities\n", @@ -594,9 +550,7 @@ { "cell_type": "code", "execution_count": 14, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "# datasets.load_" @@ -613,9 +567,9 @@ "metadata": { "anaconda-cloud": {}, "kernelspec": { - "display_name": "Python 3.4", - "language": "", - "name": "python3.4" + "display_name": "Python 3", + "language": "python", + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -627,9 +581,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.4.4" + "version": "3.6.1" } }, "nbformat": 4, - "nbformat_minor": 0 + "nbformat_minor": 1 } diff --git a/notebooks/fig_code/sgd_separator.py b/notebooks/fig_code/sgd_separator.py index 14ecb15..5409a22 100644 --- a/notebooks/fig_code/sgd_separator.py +++ b/notebooks/fig_code/sgd_separator.py @@ -22,7 +22,11 @@ def plot_sgd_separator(): for (i, j), val in np.ndenumerate(X1): x1 = val x2 = X2[i, j] - p = clf.decision_function([x1, x2]) + # p = clf.decision_function([x1, x2]) + # sklearn v0.17+ needs an array-like, sparse matrix + # convert the list to array and reshape since it contains + # one single sample + p = clf.decision_function(np.array([x1, x2]).reshape(1, -1)) Z[i, j] = p[0] levels = [-1.0, 0.0, 1.0] linestyles = ['dashed', 'solid', 'dashed']