From 3802061f440c28b33cc6a54fcc0ea37124cb6a64 Mon Sep 17 00:00:00 2001 From: Morten Hjorth-Jensen Date: Wed, 28 Apr 2021 16:49:15 -0400 Subject: [PATCH] changed files --- doc/BookChapters/chapter2.do.txt | 3 -- .../ipynb/Results/FigureFiles/EoSfitting.png | Bin 15827 -> 15895 bytes .../Results/FigureFiles/Masses2016OLS.png | Bin 11838 -> 11846 bytes doc/pub/week35/ipynb/week35.ipynb | 38 ++++++++-------- doc/pub/week42/ipynb/week42.ipynb | 43 ++++++++++++++++-- 5 files changed, 57 insertions(+), 27 deletions(-) diff --git a/doc/BookChapters/chapter2.do.txt b/doc/BookChapters/chapter2.do.txt index fd989f613..16031ac61 100644 --- a/doc/BookChapters/chapter2.do.txt +++ b/doc/BookChapters/chapter2.do.txt @@ -1,8 +1,5 @@ ======= Resampling Methods ======= -"Video of Lecture":"https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h20/forelesningsvideoer/LectureSept3.mp4?vrtx=view-as-webpage" - - ===== Introduction ===== Resampling methods are an indispensable tool in modern diff --git 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b/doc/pub/week35/ipynb/week35.ipynb @@ -389,7 +389,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "metadata": {}, "outputs": [ { @@ -1046,7 +1046,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -1065,7 +1065,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -1082,12 +1082,12 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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VwyWSxwN8uEJluMLY02McYZC9RB8E6XQC60hR152jaV0dzevqaN9Qz/KNjeSWZ2pyAFfzgV+shJO3H33pBPbgKdJlWPGaVoW9yBKRbk6zbvsy1m1fdtr9Y8Uyh14c5eBzI9VzCwrk+wqkBgJyp0LsUInioRLDj428/CSDdF0SOqNvBtEHQQMrNzXSvqGBVGN8YzG+PZum0WJl8vbf/LSP1z4e0JRLs+o3VlzgWSKyFDRk02za0samLW2n3V8oBwwOFTi6b4zDz51i5ECeYn+R4HCJxLEKjAfQG1DuLTL6yAiHiBb3MgNrSWIr0uS6szSvraNtQwMrNjaw4oomUpnLu0RU84E/Xgwmb6/5ZUCqBM03NWp0L3IZy6WTdHU20NXZADd2nratUA440j/O0P4xBl4c4+RL44wdLBAcLpMaDEgOBzAcMPZcgTFOcpjojGMS4O0pbGWa+jU5WtbV0XFFA6s3N9HeXXdZrFBa84E/McJPVJyuJytkUgm23r14yzqIyPzKpZP09DTR09MEbzp923ixwsCBMQb3jTH44jgj+/MU+gpUDpdJDAXYQAUGKow/lWecIQ4TfTPwbLRCaXZ1lpZ1dbT21LFiYzSTKL2ErmhW84E/VooCv3NvSGcyzfpXL6Nta9NFniUicVSfTbFuUwvrNrWctW18rMzgS+MMvDjG4L5RTlWPFwSHyyTGQjhYpnSwzMCjowwAzxNdxCbXkmL9Va20rq+nvjtLtitLZnWG7OosyfqFPbtYgV8d4b/mQIa1y9KsunX5kvk0FpGlo74hTf01Lay55uwPg+HjBY6/OMahvac48dIY431FCv1FEgMVwqEye352HP9/TjaVYFVLHU25aNSfak1Nhn+mq/q7+ndiHo4XKPCLAfWDIblDTmJ1lpY3nP1miohcSGtHjtaOHBtf037a/cNjJb78w3307j5J/bBTNxRycDhP22iClcUkiZNgB4zGbIqGzJRF5Qyu/ubVcx76CvxihVW7A5KWpvUNrfPyqSoitam1IcM/vmUTj7ziOOvaG3jh2CgPPXuMp0eL4E72FNQPB9QNVWgdS9ATZKgfctydazXCn3tjhTIrng1JZo3Wt7YudnNEJGayqSRvvSqa5r2xs5G3X72CZw6NsL+6Ku+pQpkn+k6ye6TAbqISczphvHMe2lLzgR88XyQ35qTXpKm/sn6xmyMiMWdmXNPVwjVdL5ePb381HDlZ4Mm+YSqhU59J4u5zfjyx5gM/8XgegLrXNOtgrYgsmpUtOVa2zO/FlWJfsH5g91EeevbY5N+FcsCj+wYplAPcnbqniwC03HT2VYBEROIk1iP8IHR2PHYAgDdfGU23vO+xA/zk+eNc39PGnd2rsZMhhSajdUvjIrdWRGR+xXqEH4QvXxa3Ur29c390vdpdvUOM7holCEMGexI0ZGP92SciEu/AD/3lwC8H0aqYU6+bOfzzEdxheH2SrNbNFpGYi3XKTcl7SpWJwI+6nCo4p/aMESahvKk218YWkdoS68A/fYQf3a6rjvDbDoaUyyEjKxO0tp19gWYRkbipocA/vaTTciikVAkZ6k7Q3qjAF5H4i3fgv3wxq8nAT1XXrG7tCylUAoa7E7Q3ZBajeSIiCyregX+OEX4pCEgVncbjzngQMrLSaG9U4ItI/NVM4JcqXv0d0tIfYg5Hl4WEaVNJR0RqQswD/+XbEyP8cuA0H402DFavfKaSjojUglgHvk8d4U+WdEKajka3R1ZE3e/QCF9EakCsA/9cI/xSOaD5SHT71MoEdZkkdZmFvcyYiMhiiHXgB6fV8KOQtxMB6QKU66DQpNG9iNSOWAd+OHUtneqJV7n+6AIDIysSYMYtr1y9KG0TEVlosV4x7LSlFYIwWg75SADAtjd08oHb1tDZnFuk1omILKxYB35wxjz8SujUH3fMYNuNnbQo7EWkhsS7pHPGWjrlIKRxMLpsWHadavciUltiHfh+xkHbwkiZ3IhjKSO7SoEvIrUl1oEfTFlLpxKGjO0vAFDsSGBJLYcsIrUl1jX88IwRfv5QFPilFZp3LyK1Z0FH+GbWambfNLNnzWyPmb12PvcXnnGmbeFAdMHyYGWsP+dERM5poZPv08AP3P3vm1kGqJ/PnU2dllmuOKX+auB3KvBFpPYsWPKZWQvwRuBOAHcvAaX53OeZyyOXj0S78+UKfBGpPQtZ0lkPDAD/3cx+aWb/zcwapj7AzO42s51mtnNgYOCSd3jaWjqlgOBYOdpPhwJfRGrPQgZ+CngV8Ofufh0wBnx06gPc/V533+7u25cvX37JOwymJL4PBYSBU2gy0nU6aCsitWchA78P6HP3R6t/f5PoA2DeTJ2HnzxeIXQn32JkUrGejSoick4LlnzufgQ4aGZXVu96K7B7Pvc5taSTPB4QhlBoMdJJBb6I1J6FLmb/U+Br1Rk6+4Dfms+dTT1omxoMcE8w3mpkFPgiUoMWNPDd/XFg+0Lt77TAPxESkiDfqpKOiNSmWCdfOGVphcxwSBg6hWaVdESkNsU6+aaO8NOnQkKPZulohC8itSjWyTcR+Imyky5AYNGlDdNaOE1EalCsA39igJ8djW6M5EIwY1lDZhFbJSKyOGId+BMnXmVHo79PZKKi/tpl87qEj4jIkhTrwJ8o6eRORb+LjUZzXZrWeo3wRaT2xDzwo98TJZ1Ck0b3IlK7Yh74UdD3pKKLlZcajTUKfBGpUTUR+O2laLG0QpPR0ahyjojUplivEzxR0kmeDFjbXk/hynpu3NC+uI0SEVkksQ78idUyEydD2uoz3PHOjaTTWhpZRGrTRUs6ZvZ5M7tpIRoz10J3cMfGo+mYyWaFvYjUrunU8PcCnzKzXjP7T2Z23Xw3aq4EIaQLYA7JxiQJLakgIjXsogno7p9299cCbwIGgb80s2fN7ONmtnneW3gJQnfS444ByRaN7kWktk17yOvu+939j6uXJ/wA8GvAnvlq2FxwdzJ5wCDVEuvDFSIiFzXtwDezlJndYmZfA+4HngNum7eWzYHQIZ2PRvgKfBGpdRdNQTP7e0Qj+ncCjwH3AXe7+9g8t+2STZR0wBT4IlLzppOCvw98HfgX7j40z+2ZU6FDJg9mquGLiFw08N39LQAW+U1gg7v/kZmtBVa6+2Pz3cjZCkNXSUdEpGom8xT/DHgtUXkH4BTw+Tlv0RwK3cmMuw7aiogwszNtX+PurzKzXwK4+5CZLemFaaKDtmCq4YuIzGiEXzazJOAAZrYcCC/8lMXlEyN8VMMXEZlJ4H8G+DbQaWb/AXgE+I/z0qo5EqiGLyIyadop6O5fM7NdwFsBA37N3Zf0iVdhGF28nHpINmmELyK1bUbDXnd/Fnh2ntoy5zwfYg6JXELr6IhIzZvOiVffu9B2d3/P3DVnjlVXyaReYS8iMp0R/muBg8AO4FGics5lwfLV9fAV+CIi0wr8lcDE8gofBP43sMPdn5nPhs2JfDTCtzrV70VEprM8cuDuP3D3O4AbgReAh83sd+e9dZfIClHgJxo0whcRmdZBWzPLAu8iGuX38PIUzSXNCirpiIhMmM5B2y8D1wDfBz7h7k/Pe6vmysQIv14lHRGR6YzwfxMYA+4B7jEzr95vgLt783w17lJNHrRtUOCLiEwn8F8P/D9394s+colJVEs6SdXwRUSmtbTCh4BdZnafmd1pZivnu1FzZfKgrWr4IiLTWg//nwCY2SuAdwBfMrMW4CHgB8D/dfdgujusLsC2E+h393fPqtXT3Ve1pJNUDV9EZEYXMX/W3f/E3W8G3kK0eNqvE52MNRP3sEAXP08UFfgiIhNmVetw97y7f9/d/6m7b5/u88ysm2h653+bzX5nyiZr+Ap8EZGFLm7/KfAvWaB19BPVGn6yUYEvIjLjReLN7BtAA5ABAqKpmTdP43nvBo65+y4ze/N5HnM3cDfA2rVrZ9q0syQL0SdLslEHbUVEZpyE7v7rRAdd3w7cDPzdNJ96E/AeM+sF7gPeYmZfPeO173X37e6+ffny5TNt2lkSxWiEn1INX0Rk1iWdzUAX0cJqG6bzBHf/fXfvdvce4HbgQXf/zVnu/+L7CxwrgZumZYqIwCxKOlUfB/4Z0fVtPzt3zZk7wXgADkEGUgkFvojIrALf3Z8Dfm+2O3X3h4GHZ/v86QjGAhynkjESdtks4S8iMm9mFfhm9q+Bq4lKQu7uH5zTVs2BsDpDJ0ijwBcRYfYlHXP335jTlswxLznuUeCbKjoiIrMO/CvM7NeJVtHE3b8/d02aG2ExxIEwpZKOiAjMPvB/DNRXf5bkKppeipoVpCChvBcRmdWJVzcBA7x8MfMlGfhhMcTdCdMa4YuIwOxG+MuANl6ew78gyyTMVFg96SpQSUdEBJjdmbZ/TXTC1buAdwIr5rpRcyEa4UOoko6ICDD7M22Xu/uvu/v7WaKB79WlkcMUJJX4IiKzquG/C1hlZh+q3rUkr4AVFKJrsgQpMJV0REQuPsI3s6vPuKuDaMG0RPVnuounLaigWsMP0wp7ERGY3gj/K8CrAMzsLnefvHiJmdW7+/h8Ne5SBNUzbcko8EVEYHo1/KmJ+eEztv1kDtsypyZG+K4RvogIML3AnzrP/sz0XLKLFoQKfBGR00ynpLPSzO4EnuDswF+SJ10BBNVZOp5e5IaIiCwR0wn8PwSuB34L6Daz3cAe4FmiA7hLUliMZulohC8iErlo4Lv7vVP/NrNu4FpgK/B/5qldlywsVL98KPBFRIBZzMN39z6gD7h/7pszdyYP2mqWjogIsIQPul6qsKRpmSIiU8U38DVLR0TkNLENfK8GvmUV+CIiEOPAn5iWadnYdlFEZEZim4YTFzFPKvBFRICYBr67Tx60TSvwRUSAuAZ+yQndCVKQSsWyiyIiMxbLNJx6tatUIpZdFBGZsVimYVgKCXGCtJHRCF9EBIhp4HvRp4zwNS1TRARiGvhhMZys4aeTseyiiMiMxTINX67hG2mVdEREgBgHfuhOmIK0SjoiIkBMA98r1Rp+ElIq6YiIADENfAJwB09AOqkRvogIxDTwvRKdeBUFfiy7KCIyY7FMQw9eLuko8EVEIguWhma2xsweMrPdZvaMmd0zX/vyiuM4njCVdEREqmZ8icNLUAH+hbv/wsyagF1m9nfuvnuud+SBSjoiImdasDR098Pu/ovq7VPAHqBrXvZVcUKHMKEzbUVEJizK8NfMeoDrgEfn4/UnpmV6Ap14JSJSteBpaGaNwLeAf+7uI2dsu9vMdprZzoGBgVnvIzpoWy3paLVMERFggQPfzNJEYf81d/+rM7e7+73uvt3dty9fvnzW+5ko6UQjfJV0RERgYWfpGPBFYI+7/5d53VlQveqVpmWKiExayDS8CfgQ8BYze7z688752JEHTgi4mUo6IiJVCzYt090fARakvjJZw08aKc3DFxEB4nqm7dQavko6IiJAXAO/OsIPtXiaiMikeAa+RvgiImeJZxpWZ+m4ZumIiEyKZRqG5bB6pq0WTxMRmRDPwK84AJaEaPq/iIjEMvArpRCARDqW3RMRmZVYJmIQRCP8pJZVEBGZFMvA1whfRORssUzEoBwFflJLI4uITIplIk4ctE2lVdIREZkQy8CfGOGrpCMi8rJYJmJQHeEnNcIXEZkUy8APqyP8lGr4IiKTYpmIEyP8dCaW3RMRmZVYJuLEtMxMJrnILRERWTpiGfgTI/xMLpbdExGZlVgm4sQsnaxG+CIikxbsEocLaSLwM9lYfp6JXLbK5TJ9fX0UCoXFbsplL5fL0d3dTTqdnvZzYhn4EydeZbKx7J7IZauvr4+mpiZ6enq0ku0lcHcGBwfp6+tj/fr1035eLIfAE4GfUw1fZEkpFAq0t7cr7C+RmdHe3j7jb0qxTMSwMjFLRyN8kaVGYT83ZvPfMZ6BX9YIX0TkTLFMxLC6Hn5WNXwROYfvfOc7mBnPPvvsnLze1772NbZu3cq1117L6173Op544onJbT/4wQ+48sor2bhxI5/85Ccn7//c5z7Hxo0bMTOOHz9+2us9/PDDbNu2jauvvpo3velNc9JGiGHguztereFnNcIXkXPYsWMHr3/969mxY8ecvN769ev58Y9/zFNPPcXHPvYx7r77bgCCIOB3fud3uP/++9m9ezc7duxg9+7dANx000088MADrFu37rTXGh4e5sMf/jDf+973eOaZZ/jGN74xJ22EGM7S8cAJ3HGDOtXwRZasf/iln8/L637xzhsuuH10dJRHHnmEhx56iFtuuYVPfOITPPzww3z84x+ntbWVp556ive///1ce+21fPrTnyafz/Od73yHK664goGBAX77t3+bAwcOAPCnf/qn3HTTTbzuda+bfP0bb7yRvr4+AB577DE2btzIhg0bALj99tv57ne/y5YtW7juuuvO2b6vf/3r3HbbbaxduxaAzs7OS/5vMiF+Q+AAwhDCJGS1eJqInOG73/0uN998M5s3b6a9vZ1du3YB8MQTT/CFL3yBPXv28JWvfIW9e/fy2GOPcdddd/HZz34WgHvuuYePfOQj/PznP+db3/oWd91111mv/8UvfpF3vOMdAPT397NmzZrJbd3d3fT391+wfXv37mVoaIg3v/nNXH/99Xz5y1+eq67HcIRfcUJ3PAm5tM60FVmqLjYSny87duzgnnvuAaIR944dO3j3u9/NDTfcwKpVqwC44ooreNvb3gbAtddey0MPPQTAAw88MFmSARgZGWF0dJTGxkYAHnroIb74xS/yyCOPzLp9lUqFXbt28aMf/Yh8Ps9rX/tabrzxRjZv3jzr15wQv8APqoGfgJxG+CIyxYkTJ3jwwQd56qmnMDOCIMDMeNe73kU2m518XCKRmPw7kUhQqVQACMOQn/3sZ+RyubNe+8knn+Suu+7i/vvvp729HYCuri4OHjw4+Zi+vj66urou2Mbu7m7a29tpaGigoaGBN77xjTzxxBNzEvixS8RyMcAdSBqpZOy6JyKX4Jvf/CYf+tCH2L9/P729vRw8eJD169fzk5/8ZFrPf9vb3jZZ3gF4/PHHAThw4AC33XYbX/nKV04L5htuuIHnn3+el156iVKpxH333cd73vOeC+7j1ltv5ZFHHqFSqTA+Ps6jjz7KVVddNfPOnkPsErFQXRrZUjq5Q0ROt2PHDt773veedt/73ve+ac/W+cxnPsPOnTvZunUrW7Zs4Qtf+AIAf/RHf8Tg4CAf/vCH2bZtG9u3bwcglUrxuc99jre//e1cddVVvP/97+fqq6+efK3u7m76+vrYunXr5PGAq666iptvvpmtW7fy6le/mrvuuotrrrlmTvpv7j4nLzTXtm/f7jt37pzx8468eIoH3vc4YXuSf/Cj1138CSKyYPbs2TNno1U5939PM9vl7tvP9fjYjfCLxeoFzDXCFxE5TfwCvxAdXEmofi8icprYpWKxWsNPpjXCFxGZakED38xuNrPnzOwFM/vofOyjWAgASCjwRUROs2CBb2ZJ4PPAO4AtwAfMbMtc76dYjAI/qTn4IiKnWchUfDXwgrvvc/cScB9w61zvpDwR+GkFvojIVAuZil3AwSl/91Xvm2Rmd5vZTjPbOTAwMKudNGdTNNelaW6c/nUeRaR2JJNJtm3bNvnT29s7ufhZb28vX//61xe5hfNnSS2t4O73AvdCNA9/Nq+xsb2RdEcDjSsa5rRtIhIPdXV1k2fITvjpT38KvBz4H/zgBxehZfNvIQO/H1gz5e/u6n1zK6roYEkdtBVZyp665al5ed1r//raGT+nsbGR0dFRPvrRj7Jnzx62bdvGHXfcwUc+8pF5aOHiWcjA/zmwyczWEwX97cCcf4x69WpXCnwROZd8Ps+2bduA6MIl3/72tye3ffKTn+RTn/oUf/M3f7NIrZtfCxb47l4xs98F/hZIAn/p7s/M+X4qCnyRy8FsRuJz4VwlnVqxoDV8d/8+8P153cfECF9LK4iInCZ2cxcnRvjo2iciMkNNTU2cOnVqsZsxb+IX+Brhi8gsbd26lWQyyStf+Ur+5E/+ZLGbM+eW1LTMuWApI9mSJFmvIb6InG10dPS896XTaR588MGFbtKCiV3gL/vVZSz71WWL3QwRkSUndiUdERE5NwW+iCyopXqVvcvNbP47KvBFZMHkcjkGBwcV+pfI3RkcHCSXy83oebGr4YvI0jVx0e7ZLo4oL8vlcnR3d8/oOQp8EVkw6XSa9evXL3YzapZKOiIiNUKBLyJSIxT4IiI1wpbq0XIzGwD2z+KpHcDxOW7OUqM+Xv7i3j+Ifx+Xav/Wufvyc21YsoE/W2a20923L3Y75pP6ePmLe/8g/n28HPunko6ISI1Q4IuI1Ig4Bv69i92ABaA+Xv7i3j+Ifx8vu/7FroYvIiLnFscRvoiInIMCX0SkRsQq8M3sZjN7zsxeMLOPLnZ75oqZ9ZrZU2b2uJntrN63zMz+zsyer/5uW+x2TpeZ/aWZHTOzp6fcd87+WOQz1ff0STN71eK1fPrO08c/NLP+6vv4uJm9c8q236/28Tkze/vitHr6zGyNmT1kZrvN7Bkzu6d6f2zexwv08fJ9H909Fj9Ely1/EdgAZIAngC2L3a456lsv0HHGff8J+Gj19keBP17sds6gP28EXgU8fbH+AO8E7gcMuBF4dLHbfwl9/EPg987x2C3Vf69ZYH3133Fysftwkf6tAl5Vvd0E7K32Izbv4wX6eNm+j3Ea4b8aeMHd97l7CbgPuHWR2zSfbgX+R/X2/wB+bfGaMjPu/n+AE2fcfb7+3Ap82SM/A1rNbNWCNPQSnKeP53MrcJ+7F939JeAFon/PS5a7H3b3X1RvnwL2AF3E6H28QB/PZ8m/j3EK/C7g4JS/+7jwm3M5ceCHZrbLzO6u3rfC3Q9Xbx8BVixO0+bM+foTt/f1d6sljb+cUoa7rPtoZj3AdcCjxPR9PKOPcJm+j3EK/Dh7vbu/CngH8Dtm9sapGz36Phmb+bVx688Ufw5cAWwDDgP/eVFbMwfMrBH4FvDP3X1k6ra4vI/n6ONl+z7GKfD7gTVT/u6u3nfZc/f+6u9jwLeJviYenfhKXP19bPFaOCfO15/YvK/uftTdA3cPgf/Ky1/3L8s+mlmaKAi/5u5/Vb07Vu/jufp4Ob+PcQr8nwObzGy9mWWA24HvLXKbLpmZNZhZ08Rt4G3A00R9u6P6sDuA7y5OC+fM+frzPeAfVGd53AicnFIyuKycUbN+L9H7CFEfbzezrJmtBzYBjy10+2bCzAz4IrDH3f/LlE2xeR/P18fL+n1c7KPGc/lDNBNgL9HR8X+z2O2Zoz5tIDry/wTwzES/gHbgR8DzwAPAssVu6wz6tIPoq3CZqM75D8/XH6JZHZ+vvqdPAdsXu/2X0MevVPvwJFE4rJry+H9T7eNzwDsWu/3T6N/rico1TwKPV3/eGaf38QJ9vGzfRy2tICJSI+JU0hERkQtQ4IuI1AgFvohIjVDgi4jUCAW+iEiNUOCLiNQIBb6ISI1Q4EtNMLPPmtn+S3yNf2xmbmZXTblvT/Wsytm83n+fsqb642Z2xMymu8KmyIwp8CX2qisd/gqQmVimYpauJTrb8l3V180RrQbZe579vtnMvnS+F3P333L3be6+jegU/Qpw5yW0T+SCFPhSCz4B/HtgN3D1JbzOVuCPqQY+0QUvnvVLPF3dzDqAHwD/zt0v+/WfZOlS4EusmdnVwDXA/yS6gMU153jMT84orUz8/OoZD91CtBhYp5m1EI34n7zE9tUDfw38L3f/i0t5LZGLSS12A0Tm2b8H/sDd3cz2cI4Rvru/4WIvYmZrgEF3z5vZ3wFvJxrxP3WOxz5KdJm7RmCZmT1e3fSv3P1vpzwuSXRltmfd/WMz7pnIDCnwJbbM7DXAzcB1ZvZ5IMe5A/onRNcsPdPvufsD1dvXTnnu94HfILrm6XfOfJK7v6b6um8G7nT3O8/TxD8D0sA/mk5/RC6VAl/i7D8Ct0yEtpmtAH555oOmM8Ln9NH8j4G/AOo4xwfIdJjZx4HrgTe7e2U2ryEyU6rhSyxV6++ZKSN03P0o0Ghmy2bxkpMjfHcvEtXuS+4+PIu29QB/SLR2/CNTjhn8z1m0S2TatB6+iEiN0AhfRKRGKPBFRGqEAl9EpEYo8EVEaoQCX0SkRijwRURqhAJfRKRG/H9MOLeDK17YBAAAAABJRU5ErkJggg==\n", "text/plain": [ "
" ] @@ -1125,7 +1125,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -1142,7 +1142,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -1166,14 +1166,14 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "0.03787596148305234\n" + "0.03787596148305236\n" ] } ], @@ -1194,7 +1194,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -1591,7 +1591,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -1601,16 +1601,16 @@ "Mean squared error: 12.36\n", "Variance score: 1.00\n", "Mean absolute error: 2.83\n", - "[ 0. 618.32047562 -861.13519106 1404.91549644] -11.057088709963523\n", + "[ 0. 618.32047562 -861.13519106 1404.91549644] -11.057088709963637\n", "Mean squared error: 197.93\n", "Variance score: 1.00\n", "Mean absolute error: 11.69\n", - "[ 0. 28.18220995 282.79902342 842.30879705] 12.946893955207997\n" + "[ 0. 28.18220995 282.79902342 842.30879705] 12.946893955211749\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -1737,7 +1737,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -1745,13 +1745,13 @@ "output_type": "stream", "text": [ "Training R2\n", - "0.9999936913787534\n", + "0.9999897970661451\n", "Training MSE\n", - "2.4029973213885385\n", + "3.822527046674737\n", "Test R2\n", - "0.9999140621935813\n", + "0.9999569750968279\n", "Test MSE\n", - "60.480439204729514\n" + "26.676583003303044\n" ] } ], diff --git a/doc/pub/week42/ipynb/week42.ipynb b/doc/pub/week42/ipynb/week42.ipynb index 3e1686acf..3de4222d7 100644 --- a/doc/pub/week42/ipynb/week42.ipynb +++ b/doc/pub/week42/ipynb/week42.ipynb @@ -329,9 +329,30 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "inputs = (n_inputs, pixel_width, pixel_height, depth) = (1797, 8, 8, 1)\n", + "labels = (n_inputs) = (1797,)\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "%matplotlib inline\n", "\n", @@ -386,7 +407,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -426,7 +447,19 @@ "cell_type": "code", "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'X_train' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 17\u001b[0m \u001b[0mepochs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m100\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 18\u001b[0m \u001b[0mbatch_size\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m100\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 19\u001b[0;31m \u001b[0minput_shape\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mX_train\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m4\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 20\u001b[0m \u001b[0mreceptive_field\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m3\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 21\u001b[0m \u001b[0mn_filters\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m10\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mNameError\u001b[0m: name 'X_train' is not defined" + ] + } + ], "source": [ "def create_convolutional_neural_network_keras(input_shape, receptive_field,\n", " n_filters, n_neurons_connected, n_categories,\n", @@ -2843,7 +2876,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.8" + "version": "3.8.5" } }, "nbformat": 4,