diff --git a/.gitignore b/.gitignore index d2e9d52..77c662e 100644 --- a/.gitignore +++ b/.gitignore @@ -1,17 +1,18 @@ -*.bak -*.bak.* -*.ckpt -*.old -*.pyc -.DS_Store -.ipynb_checkpoints/ -.vscode/ -checkpoint -/logs -/tf_logs -/images -my_* -/person.proto -/person.desc -/person_pb2.py -/datasets +# Python files +**/include/* +**/lib/ +**/etc/* +**/Scripts/* +**/share/* +**/pyvenv.cfg + +# Editor files +**/.idea/ +**/.vscode/ + +# outputs +**/my_* +**/images/* + +# Downloads +**/datasets diff --git a/01_the_machine_learning_landscape.ipynb b/01_the_machine_learning_landscape.ipynb index 1c748ec..d914946 100644 --- a/01_the_machine_learning_landscape.ipynb +++ b/01_the_machine_learning_landscape.ipynb @@ -32,6 +32,13 @@ "# Setup" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "metadata": {}, @@ -41,7 +48,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 12, "metadata": { "slideshow": { "slide_type": "-" @@ -63,7 +70,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -82,7 +89,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -104,7 +111,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -120,115 +127,6 @@ "# Code example 1-1" ] }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[[6.30165767]]\n" - ] - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "import pandas as pd\n", - "from sklearn.linear_model import LinearRegression\n", - "\n", - "# Download and prepare the data\n", - "data_root = \"https://github.com/ageron/data/raw/main/\"\n", - "lifesat = pd.read_csv(data_root + \"lifesat/lifesat.csv\")\n", - "X = lifesat[[\"GDP per capita (USD)\"]].values\n", - "y = lifesat[[\"Life satisfaction\"]].values\n", - "\n", - "# Visualize the data\n", - "lifesat.plot(kind='scatter', grid=True,\n", - " x=\"GDP per capita (USD)\", y=\"Life satisfaction\")\n", - "plt.axis([23_500, 62_500, 4, 9])\n", - "plt.show()\n", - "\n", - "# Select a linear model\n", - "model = LinearRegression()\n", - "\n", - "# Train the model\n", - "model.fit(X, y)\n", - "\n", - "# Make a prediction for Cyprus\n", - "X_new = [[37_655.2]] # Cyprus' GDP per capita in 2020\n", - "print(model.predict(X_new)) # outputs [[6.30165767]]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Replacing the Linear Regression model with k-Nearest Neighbors (in this example, k = 3) regression in the previous code is as simple as replacing these two\n", - "lines:\n", - "\n", - "```python\n", - "from sklearn.linear_model import LinearRegression\n", - "\n", - "model = LinearRegression()\n", - "```\n", - "\n", - "with these two:\n", - "\n", - "```python\n", - "from sklearn.neighbors import KNeighborsRegressor\n", - "\n", - "model = KNeighborsRegressor(n_neighbors=3)\n", - "```" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[[6.33333333]]\n" - ] - } - ], - "source": [ - "# Select a 3-Nearest Neighbors regression model\n", - "from sklearn.neighbors import KNeighborsRegressor\n", - "\n", - "model = KNeighborsRegressor(n_neighbors=3)\n", - "\n", - "# Train the model\n", - "model.fit(X, y)\n", - "\n", - "# Make a prediction for Cyprus\n", - "print(model.predict(X_new)) # outputs [[6.33333333]]\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Generating the data and figures — please skip" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -245,7 +143,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ @@ -280,19 +178,11 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 17, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Downloading oecd_bli.csv\n", - "Downloading gdp_per_capita.csv\n" - ] - } - ], + "outputs": [], "source": [ + "import pandas as pd\n", "import urllib.request\n", "\n", "datapath = Path() / \"datasets\" / \"lifesat\"\n", @@ -308,7 +198,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ @@ -325,7 +215,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -391,7 +281,7 @@ "Algeria 10681.679297" ] }, - "execution_count": 10, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -418,7 +308,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -691,7 +581,7 @@ "[5 rows x 24 columns]" ] }, - "execution_count": 11, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -712,7 +602,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -785,7 +675,7 @@ "Chile 23324.524751 6.5" ] }, - "execution_count": 12, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -808,7 +698,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -881,7 +771,7 @@ "Hungary 31007.768407 5.6" ] }, - "execution_count": 13, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -897,7 +787,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 23, "metadata": {}, "outputs": [], "source": [ @@ -907,19 +797,17 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 24, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -958,7 +846,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -1043,7 +931,7 @@ "United States 60235.728492 6.9" ] }, - "execution_count": 16, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -1055,19 +943,17 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 26, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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JR1gvhR7Vy0SkSFXLsy+S49SP+kzD16415ZoYxa5ZY+Xdu1sKmVGjLLLWwQdHJLyzTxE2eM01wBpVnR58vhe4WESWAmODOAmOkzdqmw5u3QovvJAcxb73XnB/B1OsiQ0HRxyRPTus49RG2I0P12ABaxCRYVjUsAuAccAvgC/nRDrHqSe7d8OrryYV7Jtvmm22dWszDXzzm41LIeM4jSGswu0CrAjOvwI8pqqPisjbWOZex8kLVVW2TTZhIpgzx7wLCguVEwYqU6ZYhgNPIePEgbAKdxvQEdvscBpwZ1BejmXudZxIUIWlS5MKdvZs+CRYyu3bF0adXcb8yg/Yv8cWthWVc+K4fgz37AVOTAircP8F/ElE5mNuYs8E5X2B5bkQzHESJFLIJJTsv4Ognl27wle+ktxw0HK/3Zxy+xxalFfxGUC5Zy9w4kVYhXsl8BPgMCw0YyJC2Al4XAQnyyRSyNx335Fcc83eKWRGjoRJk0ibQmbhKs9e4MSbsG5h24Cr05TfnHWJnH2O8nJLG5NY6HrtNYu2VVTUhWHD4LbbbAR7wglQmCGZk2cvcOJOpuA1ByZGsiJyYKZKUka8jlMnVVXwzjtJBfvCCzVTyIwaBRUVL3HGGcNC1+uxCJy4k2mE+7GIdFbVjcAmqBFQByzGghIiiaTTNMlW2MMVK/aOrJWaQubii81EUD2FTGlpVbqqMuKxCJw4k0nhjiSZzWEk6RWu04xpTNjDTZvMgyChYJcutfLOneGMM5IbDrp2zb7cHovAiSuZYim8kHJeGok0Tmyob9jD1BQyM2fC/PlWvt9+FhP2mmtMyR59tO/ocvZdwm7t/TwYebXyDsBGVXWTQjOjrrCHiRQyCTNB9RQyP/6xKdjUFDKOs68T9k+htjFJMVC/tKJOk6D6ir8qlG1ow9NTS/jBHFvo2rbNRqvHHx8uhYzj7OtkVLgi8t3gVIHLgnTpCQqBocDiHMnm5JEOJcVcd8oAbrx7IztXHETZ8gOpLGvF97EUMuPHmw12xAg46KB8S+s4TYO6RrgJ31sBLgUqU67tweIrXJZ9sZxUokqQmEghkzATLFlyCHAI7TtUMXaM8qUxjUshExfmz4errrKfxx4L06bBYYdlv52vf936cscOOOQQ27Bx6aXp702NtwsWD+KKK+B3vzPvjddeS5pmunSBDzw+X5Mko8JNxMEVkdnAuaq6JRKpnM/JZYLEnTth7tx2PPecKdh588xHtm1bGD7cUsiMGgXHHlvQbCJrrV4NZ50Ff/wjnHaaRQ+79Va4557stzVlCtx7rwXNWbzYFOeAAeZrXJ2ylLnjjh3QqRN89avJsrvuql1ZO02HsDvNRuRaEKcm2U6QWFlpSjXhSfDSS7B79/G0aGHRtG66yRTs4MG2+NUc+d734FvfgrFj7fP558MPf5ibtvr2TZ6L2LF0aXqFm8q0aRYAfejQ3Mjl5I/Q68ci0gs4D4unsNefY9gkkiLSDvgzcCxmF75EVV8NK8O+RmMTJIZJIdOx4yKuuqpfjSltronKTJLKtm3wxBPJbLtgI/pWIePdffnL9k+qomJIDc+LIUPgySdrPnPFFXDffTabGDDARtd1cf/9cNFFe7vPTZkC119vG0V+8hMbLTtNj7BuYV8CpgPzgYHAm8CRmJdCfeLh/gZ4VlXPE5GWgK9nZ6AhsQHWrdt7R9fq1VbevTuMG2eeBKkpZEpLN0eubHNpJsnEzJnmutavX7Js9274j/+w8xtusKA5nTrBAw/U9LZIKNTS0pc4NaTGu/tus8O++iqUltYdk3flSvMAuffeZNntt8Mxx9isY+pUi5C2YIEtXjpNi7CWuR8BP1TVk7HMvRcChwMzgNIwFYjI/sAw4F4AVd2jqp/WT9x9i0RsgFZFBexX3IJWRQU1YgNs3Qr//KdtLOjbFw49FC680JTDySebrfKjj2D5cvjzn20Knc98Xalmku27K9hVXsWk6Yv4pCz3CaFXrDBTwqefJo8RI2DMGIvtsHSpBTAfPRr+8pfstVtYaCPg1avhD3/IfO8DD9i9PVKyCH7hC7aBpLjYtkGfcgo8/XT25HOiQ1Tr3rEbuIP1U9VlIrIZGKaq74jIccBTqlrnGq+IHA/cA7wH9AfmAhNVdUe1+yYAEwA6deo0cOrUqaFepKysjJKoh2ohqKxSduwoo23bEgoLGrbFqrJK2VNZRcvCAiorCnjvvQOYN68dc+e2Z/Hi/amqEoqLK+nXbysnnLCFgQO3cOSRZaEWuurTb5VVys5yc1RpXVTYoPfZWV7J8o93UJnye1coQo+ObWldtPf+mWx/pw89dBjLlrXlxhvfB2DdulZcccUJ3H//G8yefTDFxZWMGbOB9euLueeeI7nppvf2en7y5ONYtKgdZg3b+9379fuU229/O2P7d97Zm1atKrn66o9qvefCCwczfvxKzjprfa33TJ58HIMHb2bcuDU1rsX17wD2HdlGjBgxV1UHpb2oqnUewDrgmOD8XeDs4HwAsD1kHYOACuALweffAD/O9MzAgQM1LLNnzw59b1Q8Pn+19r7xaf39357Q3jc+rU/MX13vOiorVefOVb3jDtXTT1dt3VoVVAsLVU8+WfXGG1VLS1V37WqYjGH77fH5q/XIKU9q98l29Pz+Uw16n03bd2nvG5/+vJ7uk5/U3jc+rZu213yBbH+nM2aodumiumaN6sqVqiedpHrPPXbtJz9R/cc/7HzLFtXTTqu9njBybdig+vDDqtu3q1ZUqD77rGqbNqqPP177My+/bPds25Ys27LFnt25U7W8XPXBB+2exYsbLlu+2FdkA97SWnRa2EWz14Eh2Oj0KeAXItIfOAcIu+i1Glitqq8Hn6cB14d8tsmROnWuVP186lyXh4EqLFuWtMHOmpVMIXPMMbbCPmqUuW0dcEB07zJp2kIqUszJ5ZXKddPq7zGRzxCKI0ea/bNXL8vaO3my9SdYlLKtW+1861Y4MGNA0roRMfPBZZfZwlz37vDrXyftxQBnnmmeCN//vn2+/34491wzHyQoL4cbbzS3ssJC6NMHHn/cFs+cpkdYhftdIDHevgXYD8vYuyS4Viequl5EVolIb7W06qMwBR45UayQ18fDIEwKmZEjzT6bD1Zv2UmhFLD3vhcoLJAGZVPIVwjFhBJMZ0cdMsQCnV98MTz3nNlJG0PHjrb4lYlnntn78x//mL6eN99snCxOfAjrh7ss5fwz4PIGtnc18LfAQ2EZ8M0G1tNgolohz+RhUFZmq+GJUeyiRXa9XTtbxJk0yZRsr17xiKzVtX1rKrVmbNrKKm1wNoW4hVA87jgbhQ4daouKDzyQb4mc5khYt7COAKr6cfD5OOC/gHdVNXROM1VdgNly80K2NxJkInXqTGUBVes6MKD1MZx9ZvHnKWSKi5MjqzApZPJFh5Ji7jyvP999dMHnZoWiQuHO85pXNoXbbsu3BE5zJ6xJ4VHgr8BfROQg4EVgLXC1iByqqr/IlYDZpLEbCcKSSCGzdHYXur1xCJN+ruza1YJHxMIVXnutuR598YvQOmbptmoztyTMAO+u3QYofQ89oFkpW8eJgrAKtx/wWnB+HvCRqp4oIv8B3Ak0CYWbyySDqSlkZs2CjUHk4N69CznjjDVcfHGXGilk4kZd5pYOJcUM69UxjxI6TtMmrMJtDSTCa4wG/hmczwO6ZVuoXJHNFfJECpmEkk2kkDnkEDj9dDMRjBoF3bpBaemHnHpq7ndSNYYozS2Os68SVuF+CJwrItOB07FRLUAn4NMcyJUzGrpC/tlntgspoWAXLDAXrsamkMlHTIF0RGVucZo/K1bAiScmg/c89ph5WzjhFe4PgYcx08HMFF/aM7D4Ck2KMCvk1VPIvPoq7NkDRUVme/3RjxqfQiZfMQXSkUtzi7PvMXy4RT1z9iasW9jfReQw4FBgYcqlGVhQmyaPKrz/vinXGTNqppCZONFMBEOGWLzYxhK3KXw+NyQ4zY+XXzYXu6FDLbpZHNwb40DosNKqukFV56smHTJV9XVVbbIpdlatstB5F15oUfT79jXF+t57FuTl0Udt8WvePLjjDhh0ym4+2vxpVgKtJKbwqSSm8Pli7PFdeHnySB689Au8PHlk3kbbuWb+fNvY0KaNxf5duTJ3bU2damamtm0tutecWmLrlZTsfRQWwtVBvpUVKyysY/v2tkZw1VU2A8sGd91ls7TiYvjGN/a+tnkznHOOyd69Ozz0ULg6O3e2gEkvvmh/P3//e3ZkbQ7sU/lUt2yxEHmJUWwiLmrHjjZ6HT269hQy2Z7+x3UKH7cNCdkmyowPzz9v24cfecQU+7p1td+bKePDFVfYZox16yzC2WmnWdjHa67Zuw5V+PDDkhqxchcutFRC6Xy8Dz3Utg4/95zF7E3lyistJOSGDbZm8aUvQf/+NjBZvx7OO69mfdOm2T+FRBjKc8+19EDjxtX+7vsSzVrh7tplU5vEjq65c2tLIUPGyFq5mP77FD4/RJnx4eabLYvGSSfZ5y4h/z9Xz/iwfLmNalu1MmU2Zgy8+27N51asgOuu60e3bnYP2Ij6nHNsoHHssTWfOfdc+/nWW8nYyWBKf/p08ycvKTFT2tix8Ne/ws9+ZnK89FJ6+bdtg/33T7Z/9NHh3ntfoFkp3PQpZPg8hcwPfmCj2NpSyNTmMZCrFfywHhNx8WRo6kSZ8aGy0pTY2LHQs6f98z/7bLjzzro3u1TP+DBxopkmTj3VZmnPPAM//nHN53r0gB/+8F2+9rUBTJtmA4tzz4UHH0yvbDOxZImNiHv1Spb17193fAiwe265xUw2PXqkl3VfpUkr3EQKmZkzYerUvrz9djKFzHHH2VRs9GgbKaRGYEpHJpNBLqf/dU3h4+TJ0NTJlPFh61abqr/3nk2B0ymo+mR82LDB2po2zUZ5RUXWzq232iJSbaTL+DB8OPzpTzZqrKy0ADtnn53++f79t/LQQzbdLyw0U0litFsfyspqRqM74ADYvr3uZ7/yFTucmoReNBORTiJyrYj8Idjei4icIiI96no2m6xbZ/+xv/ENS23dp4/ZmpYs2Y9x48ywv369BYT55S/NXleXsq0rC0GYzAu5IJ/ZEZojmTI+tGkDTz2V3i7ZEBKj2KuvtkWkgw6C73637kwN1TM+VFXBGWfYSHXHDttws2WL2YZr47DDbFan2vCU9iUlNiNIZdu2uv+WnMyEDV4zEJgJLAf6YhsfNgGnAb2AC3Il4Nat9h8/4Q/7XhDQ8cADk7u5Ro+GlStfY8SIUxvURhiTQT5CCvpmhOyye/feecqWL7dp/4MP2gi0Luf8M8+00Wpl5dAaC1BDh+4dbrF9ewuvWV93qAcesGSRCTZvNm+aq66yhajiYlvou/FG85ypzpo1rfj61y0P2n772YBjxoy9MwiHoVcv84T48EM46igrW7iw/vU4exPWpPBz4DeqerOIpE4qniOHIRYXL7ZA0ZWVNmIYNsxGtqNHmz0pdaFr1aqGtxPWZBD1Cn5cPRmaKieeaG5Qa9fa79QFF9j0Pmyw8YRCLS2dEyqJ5De/aQkkx4wxhf7rX5sduDZeeQXWrEl6J4CNjHv0sBi+115rU/3777ff/+qsXQvf+97x3Hxz0sVr1y7baj5nDhxxRM1nKirsqKy0Y9cuGx0n7L833WS58BYsMPv3K6/U+dpOBsKaFAYC96cpX4dt780ZU6ZYzIItW+DZZ+G66yzddJh8XWHJl8mgqcrVVEnN+DBkiPlfJzI+5IIf/MCUfK9etlI/YIBlBk5w5pnw058mP6fL+ADmx/rsszYC79nTFOKvflWzvQ4d4PLLP+LylGjVX/uauZDVljj01lttMPOzn9lIv3VrKwN7budOe3b8eFP6PsJtHGFHuDuBdHGu+gAbsydOtcr7RLfCma8sBHURV7maIpkyPuSCoiJTWnffnf56mIwPYDsdS0vrbq+4GIYP31SjPDWtT3VuucWOdBx4oKXzcbJHWIX7BHCziCQmOyoihwO300y29kJ8nf7jKldz46yzbOr8wQfw7W/X3HnlOI0lrMK9Fnga+BhoA7yEmRJeBm7MjWiOEy11eRA4TmMJG7xmGzBEREYCJ2C233mqOiOXwjmO4zQnalW4IlIJdFbVjSLyF2Ciqs4CZkUmneM4TjMi01r/TpKp0S8GQm6AdBzHcdKRyaTwCvC4iMwFBPitiKSNHaiql4RpTERWANuBSqBCVfOWwddxHCdqMincC7HFsp6AAh2AbOwpHaGqNX1XHMdxmjm1KlxV3QBcByAiy4HxqvpJVII5juM0N0Lt11LVHllStgr8S0TmisiELNTnOI7TZBBVTX9B5LvA3aq6KzivFVX9ZajGRA5V1bUicjDwPHC1qr5Y7Z4JwASATp06DZw6dWqYqikrK6OkpKTuG/OAy9Yw4ipbXOUCl62hZFO2ESNGzK11fUpV0x5YZLAOKee1HctqqyPTAdwCXJvpnoEDB2pYZs+eHfreqHHZGkZcZYurXKouW0PJpmzAW1qLTstkw+2R7ryhiEhboEBVtwfnpwM/amy9juM4TYVGxdwSke4i8mjI2zsBL4nIQuAN4ClVfbYx7TuO4zQlGptipx0QKh+nqi4D0kTxdBzH2TfIYlRZx3EcJxOucB3HcSLCFa7jOE5EZLThisg/63h+/yzK4jiO06ypa9Gsrt1ln2C+uI7jOE4dZFS4qpqzjLyO4zj7Gm7DdRzHiQhXuI7jOBHhCtdxHCciXOE6juNEhCtcx3GciHCF6ziOExGucB3HcSLCFa7jOE5EuMJ1HMeJCFe4juM4EeEK13EcJyJc4TqO40SEK1zHcZyIcIXrOI4TEa5wHcdxIiJyhSsihSIyX0SejLptx3GcfJKPEe5E4P08tOs4jpNXIlW4ItIV+BLw5yjbdRzHiQNRj3B/DUwCqiJu13EcJ+/UlUQya4jIl4GNqjpXRE7NcN8EYELwsUxEPgjZxEHApkYJmTtctoYRV9niKhe4bA0lm7J1r+2CqGqW2siMiNwGXAhUAK2wFOt/V9WvZ6n+t1R1UDbqyjYuW8OIq2xxlQtctoYSlWyRmRRUdYqqdlXVw4HzgVnZUraO4zhNAffDdRzHiYjIbLipqGopUJrlau/Jcn3ZxGVrGHGVLa5ygcvWUCKRLTIbruM4zr6OmxQcx3GiQlVjcwDdgNnYTrR3gYlB+S3AGmBBcJyV8swU4CPgA+CMlPKBwNvBtd+SHM0XA48E5a8Dh4eUrRXwBrAwkO2HQfmBwPPAh8HP9jGSLe/9FjxbCMwHnoxLn2WQLS59tiKocwHwVpz6rRbZ4tJv7YBpwGJMj5wcl35T1dgp3M7ACcH5fsAS4Jjgy7w2zf3HYEqmGOgBLAUKg2tvBJ0twDPAmUH5FcD/BOfnA4+ElE2AkuC8KOjsk4A7gOuD8uuB22MkW977Lbj/u8BDJJVa3vssg2xx6bMVwEHVymLRb7XIFpd+ux+4NDhviSngWPSbaswUbprOewI4LcOXOQWYkvL5uaCTOgOLU8rHA39MvSc4b4E5O0s95WoDzAO+gP1n7ByUdwY+iJFsee83oCswExhJUqnFos9qkS3vfRbcv4KaSi0u/ZZOtrz3G+bbv7z6vXHpN1WNrw1XRA4HBmCjNYCrRGSRiPxFRNoHZV2AVSmPrQ7KugTn1cv3ekZVK4CtQIeQMhWKyAJgI/C8qr4OdFLVdUF964CDYyQb5L/ffk3N7dyx6LNaZIP89xmAAv8SkbnB7kuIT7+lkw3y329HAB8D/xtEJPyziLQlPv0WT4UrIiXAdOA7qroN+ANwJHA8sA74ReLWNI9rhvJMz9SJqlaq6vHYyGiwiByb4fY4yJbXfkvdzl2X/FHKVYdssfhdA05R1ROAM4ErRWRYhnvjIFsc+q0FcALwB1UdAOzATAi1EXW/xU/hikgRpmz/pqp/B1DVDYFCqQL+BAwObl+NLbQl6AqsDcq7pinf6xkRaQEcAGyuj4yq+inmRzwG2CAinYP6OmMjzFjIFoN+OwUYKyIrgKnASBF5kHj0WVrZYtBnAKjq2uDnRuAfgRxx6Le0ssWk31YDq1Nmd9MwBRyLfoOYKVwREeBe4H1V/WVKeeeU284B3gnO/wmcLyLFItIDOAp4I5g2bBeRk4I6L8LswYlnLg7Oz8O2GIcZEXUUkXbBeWtgNLYSmlrfxdXayats+e43rX07d977rDbZ8t1nACLSVkT2S5wDpwdy5L3fapMtDv2mquuBVSLSOygaBbxHDPotVcjYHMAQbHi+iBT3EuCvmIvGouCFO6c8cwO2uvgBwUpiUD4I+9KXAneRdOtoBTyGuXW8ARwRUrZ+mPvQoqDem4LyDtjCy4fBzwNjJFve+y2l3lNJLkzlvc8yyJb3PsNskQtJuvndEJd+yyBb3vstePZ44K1AjseB9nHot8ThO80cx3EiIlYmBcdxnOaMK1zHcZyIcIXrOI4TEa5wHcdxIsIVruM4TkS4wnWcEIjI4SKiIpKTvFciUiQiS+rYUZZzROQ4EVkT+Ng6WcYVbjNDRDqJyK9E5EMR2SUiG0XkFRG5OtgynbhvRaBANLhvlYj8Q0S+kqZOTTm2i8hbInJutG+Wd1ZhQU0WAIjIqUF/HJSl+icAa1T1xaD+WhW8iJSKyF0pn/uLyBMisj74LleKyHQR6Z5yT+p3+JmILBORh0RkSGrdqvo28BoWRc3JMq5wmxFiAX/mYVuOf4BtaxwJ/BzbdTO22iM/wpRIL2y31QrgHyLyuzTVfyu490TM6f0xETk56y+RARFpGWV7qahtW12vFrAkF1yN7bKsFyLSEXPmLwO+BPTBsmMvxaJnpZL4Do8G/h+wB3hRRK6rdt//ApcHW1edbFLfXTl+xPfA4nauAtrWcl1SzleQPpzeBGy334iUMgXOS/lchAUGua2Wdg4PnrkAeAnYhW2DPr3afccATwHbsf3tDwOHpFy/D3gSmIztYd+Y4d1PAmYFcm3FlNChwbUxwBxgC7bv/Tng6PrIm3LPoJTz1OO+MG3VIvsgLGJZu3Ttpbm/FLgrOD8bqARa1tHGXt9hSvlPgQqgZ0pZy6APRuf7d7q5HT7CbSaIyIHAGcDvVXVHuns0+Guqg3sxZTGuthtUtRz7Iy2qo647sGj5x2OR9p8QkS6BvJ2BF7Htk4Ox+A8lwD9FJPX3cji2dXkMNkqvgYj0xzKFfIQFpTkJeJRkktS2WCjGwdg23q3A/6UZMdcqbzVWkeyfvtiocWI920plKPCRWuCh+rIem6meF+z7ry+/CJ4/O1Ggqnsw08nwBtTnZMCnDM2Ho7DQcR+kForIaizqPcCDqnpZpkpUtVJElmB75msgIsXAddh0dWYdMv1BVR8NnpuI/UO4HLgx+LlQVSen1H0RNiochO1TBxtpXaKquzO0MymoKzU26/sp7zS92jt8E9iGKcWXQsr7OUEfJSJEbVTVTQ1oK5XuWEjDeqOqr4nIT7FMB78XkTexEfDfVPXfIZ7/REQ2UvP7XouNsp0s4iPc5s9QbMT2BhZ4IwxCzRiffxWRMuAzbEHlWlV9po56Xk2cqIXtex0zI4DljBomImWJg2Qw6CNT6ninDmULFqi+VuUvIkcGC0RLRWQbsAH73T+sHvKGoh5tpdIa+8fSIFT1BuAQzBz0NmaffU9E0s4I0olNze97ZyCXk0V8hNt8+Aj7o+mTWqiqywFE5LMwlYhIIbaI9ka1S9cBzwLb1OKgNpYCzH57bZprG1LO05pHqlHXVPr/sASH3w5+VmBh+3KxCNeQtjZh/zRS2Rr8PCDN/e1SrgM2UsWiWD0mIlOw6HE/oI5ZSOBl0RFYVu3SgZid38kiPsJtJgR/cP/C0pyU1HV/Bi4lmfk0lfWq+lE9le1JiZPAvjiY5FR/Hmb//HdQb+qxvZ4yz8O8MWogIh2wVfmfquoMVX0fS1CabrCRSd7q7Al+FjawrVTmA71TbdequgVTxAOrvc/+QE+qmY5SCWywSzGbeF18D1uwe6Ja+bFYvzpZxEe4zYsrgJeBuSJyC+a+VYH90fbHFHIq+4nIIdjiVzfgq5h70l2q+kIW5Lk8sAe/HcjWHUvFAvB7zE3pERG5HctFdQTwn8D36ql07wReE5F7gnp3YaaUf2HeDZuAb4nIKiwn1Z1Yv9RH3ur8G5tRfElE/g+bgieUZJi2UpmNmXv6Efj5BvwSuF5E1mLmjg7YqHUTNppNpAo6H8tasQQb7X8FiyN9c7V22gXfd0vMbHMxFlx7kqp+lLgpcC/sQs3fF6ex5NtNwo/sHpgt7zeYiWE35p/5JpahdL+U+1aQdGnajSmmx4GxaepM61KUQYbDg2e+BryCKcC9AjwH9x2FjaS3YArrA+B3BC5OBG5hIdscgnk97AQ+BWaQzNQ6EvOG2BX8PCPol2+ElZc0blqY8luHjRDvC9NWBvkfBu6sVlaI/QNcFNSxGlOsh6fccwTwP5gbW8IlbgHwHfZ2A0x1YduFZbd9GBiWRpYpwLP5/l1ujocHIHeyTjBCWg6cqKpv5VmcOomDvCLSFxvp9lRLnJoXAi+UD4HxqvpyvuRorrgN13FigKq+iy0g9sizKN2Bn7iyzQ1uw3WcmKCqD8RAhiWYLdjJAW5ScBzHiQg3KTiO40SEK1zHcZyIcIXrOI4TEa5wHcdxIsIVruM4TkS4wnUcx4mI/w/WDitBtOX7WwAAAABJRU5ErkJggg==", + "image/png": 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", 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" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -1162,7 +1046,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -1171,7 +1055,7 @@ "37655.1803457421" ] }, - "execution_count": 20, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -1183,7 +1067,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -1192,7 +1076,7 @@ "6.301656332738056" ] }, - "execution_count": 21, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -1204,19 +1088,17 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 31, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -1245,7 +1127,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 32, "metadata": {}, "outputs": [ { @@ -1342,7 +1224,7 @@ "Luxembourg 110261.157353 6.9" ] }, - "execution_count": 23, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } @@ -1355,7 +1237,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 33, "metadata": {}, "outputs": [], "source": [ @@ -1374,19 +1256,17 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 34, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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", + "image/png": 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", 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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -1465,7 +1343,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 36, "metadata": {}, "outputs": [ { @@ -1479,7 +1357,7 @@ "Name: Life satisfaction, dtype: float64" ] }, - "execution_count": 27, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -1491,7 +1369,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 37, "metadata": {}, "outputs": [ { @@ -1607,7 +1485,7 @@ "Switzerland 68393.306004" ] }, - "execution_count": 28, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" } @@ -1619,19 +1497,17 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 38, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ - "
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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -1715,7 +1591,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.6" + "version": "3.10.11" }, "metadata": { "interpreter": { diff --git a/12_custom_models_and_training_with_tensorflow.ipynb b/12_custom_models_and_training_with_tensorflow.ipynb index 242570f..b45ea07 100644 --- a/12_custom_models_and_training_with_tensorflow.ipynb +++ b/12_custom_models_and_training_with_tensorflow.ipynb @@ -786,7 +786,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 31, @@ -828,7 +828,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 33, @@ -909,7 +909,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 36, @@ -971,7 +971,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 39, @@ -1000,7 +1000,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 41, @@ -1049,7 +1049,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 43, @@ -1134,7 +1134,7 @@ "array([[ 67, 97, 102, 233, 0, 0],\n", " [ 67, 111, 102, 102, 101, 101],\n", " [ 99, 97, 102, 102, 232, 0],\n", - " [21654, 21857, 0, 0, 0, 0]], dtype=int32)>" + " [21654, 21857, 0, 0, 0, 0]])>" ] }, "execution_count": 47, @@ -1269,16 +1269,6 @@ "\n", " [Op:SparseToDense] name: \n" ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2023-09-05 11:03:52.814492: W tensorflow/core/framework/op_kernel.cc:1828] OP_REQUIRES failed at sparse_to_dense_op.cc:161 : INVALID_ARGUMENT: indices[1] = [0,1] is out of order. Many sparse ops require sorted indices.\n", - " Use `tf.sparse.reorder` to create a correctly ordered copy.\n", - "\n", - "\n" - ] } ], "source": [ @@ -1462,7 +1452,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 60, @@ -1484,7 +1474,7 @@ "text/plain": [ "" + " [ 0, 10, 13, 0, 0]])>" ] }, "execution_count": 61, @@ -1509,7 +1499,7 @@ "text/plain": [ "" + " [-1, 10, 13, -1, -1]])>" ] }, "execution_count": 62, @@ -1535,7 +1525,7 @@ "text/plain": [ "" + " [7, 0, 0]])>" ] }, "execution_count": 63, @@ -1560,7 +1550,7 @@ "text/plain": [ "" + " [0, 9]])>" ] }, "execution_count": 64, @@ -1662,7 +1652,7 @@ { "data": { "text/plain": [ - "[,\n", + "[,\n", " ]" ] }, @@ -1703,7 +1693,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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"text/plain": [ "
" ] @@ -1809,7 +1799,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 74, @@ -1838,14 +1828,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "INFO:tensorflow:Assets written to: my_model_with_a_custom_loss/assets\n" + "INFO:tensorflow:Assets written to: my_model_with_a_custom_loss\\assets\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "INFO:tensorflow:Assets written to: my_model_with_a_custom_loss/assets\n" + "INFO:tensorflow:Assets written to: my_model_with_a_custom_loss\\assets\n" ] } ], @@ -1881,7 +1871,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 77, @@ -1939,7 +1929,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 80, @@ -1961,14 +1951,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "INFO:tensorflow:Assets written to: my_model_with_a_custom_loss_threshold_2/assets\n" + "INFO:tensorflow:Assets written to: my_model_with_a_custom_loss_threshold_2\\assets\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "INFO:tensorflow:Assets written to: my_model_with_a_custom_loss_threshold_2/assets\n" + "INFO:tensorflow:Assets written to: my_model_with_a_custom_loss_threshold_2\\assets\n" ] } ], @@ -2004,7 +1994,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 83, @@ -2082,7 +2072,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 87, @@ -2104,14 +2094,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "INFO:tensorflow:Assets written to: my_model_with_a_custom_loss_class/assets\n" + "INFO:tensorflow:Assets written to: my_model_with_a_custom_loss_class\\assets\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "INFO:tensorflow:Assets written to: my_model_with_a_custom_loss_class/assets\n" + "INFO:tensorflow:Assets written to: my_model_with_a_custom_loss_class\\assets\n" ] } ], @@ -2147,7 +2137,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 90, @@ -2233,14 +2223,20 @@ "363/363 [==============================] - 1s 1ms/step - loss: 1.4714 - mae: 0.8316 - val_loss: inf - val_mae: inf\n", "Epoch 2/2\n", "363/363 [==============================] - 0s 1ms/step - loss: 0.8094 - mae: 0.6172 - val_loss: 2.6153 - val_mae: 0.6058\n", - "INFO:tensorflow:Assets written to: my_model_with_many_custom_parts/assets\n" + "INFO:tensorflow:Assets written to: my_model_with_many_custom_parts\\assets\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "INFO:tensorflow:Assets written to: my_model_with_many_custom_parts/assets\n" + "INFO:tensorflow:Assets written to: my_model_with_many_custom_parts\\assets\n", + "c:\\Users\\schue\\dev\\handson-ml3\\lib\\site-packages\\keras\\src\\initializers\\__init__.py:144: UserWarning: The `keras.initializers.serialize()` API should only be used for objects of type `keras.initializers.Initializer`. Found an instance of type , which may lead to improper serialization.\n", + " warnings.warn(\n", + "c:\\Users\\schue\\dev\\handson-ml3\\lib\\site-packages\\keras\\src\\regularizers.py:426: UserWarning: The `keras.regularizers.serialize()` API should only be used for objects of type `keras.regularizers.Regularizer`. Found an instance of type , which may lead to improper serialization.\n", + " warnings.warn(\n", + "c:\\Users\\schue\\dev\\handson-ml3\\lib\\site-packages\\keras\\src\\constraints.py:365: UserWarning: The `keras.constraints.serialize()` API should only be used for objects of type `keras.constraints.Constraint`. Found an instance of type , which may lead to improper serialization.\n", + " warnings.warn(\n" ] }, { @@ -2256,7 +2252,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 94, @@ -2323,31 +2319,47 @@ "Epoch 1/2\n", "363/363 [==============================] - 1s 1ms/step - loss: 1.4714 - mae: 0.8316 - val_loss: inf - val_mae: inf\n", "Epoch 2/2\n", - "363/363 [==============================] - 0s 998us/step - loss: 0.8094 - mae: 0.6172 - val_loss: 2.6153 - val_mae: 0.6058\n", - "INFO:tensorflow:Assets written to: my_model_with_many_custom_parts/assets\n" + "363/363 [==============================] - 0s 1ms/step - loss: 0.8094 - mae: 0.6172 - val_loss: 2.6153 - val_mae: 0.6058\n", + "INFO:tensorflow:Assets written to: my_model_with_many_custom_parts\\assets\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "INFO:tensorflow:Assets written to: my_model_with_many_custom_parts/assets\n" + "INFO:tensorflow:Assets written to: my_model_with_many_custom_parts\\assets\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 1/2\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\Users\\schue\\dev\\handson-ml3\\lib\\site-packages\\keras\\src\\initializers\\__init__.py:144: UserWarning: The `keras.initializers.serialize()` API should only be used for objects of type `keras.initializers.Initializer`. Found an instance of type , which may lead to improper serialization.\n", + " warnings.warn(\n", + "c:\\Users\\schue\\dev\\handson-ml3\\lib\\site-packages\\keras\\src\\constraints.py:365: UserWarning: The `keras.constraints.serialize()` API should only be used for objects of type `keras.constraints.Constraint`. Found an instance of type , which may lead to improper serialization.\n", + " warnings.warn(\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Epoch 1/2\n", "363/363 [==============================] - 1s 1ms/step - loss: 0.6333 - mae: 0.5617 - val_loss: 1.1687 - val_mae: 0.5468\n", "Epoch 2/2\n", - "363/363 [==============================] - 0s 1ms/step - loss: 0.5570 - mae: 0.5303 - val_loss: 1.0440 - val_mae: 0.5250\n" + "363/363 [==============================] - 0s 975us/step - loss: 0.5570 - mae: 0.5303 - val_loss: 1.0440 - val_mae: 0.5250\n" ] }, { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 96, @@ -2426,15 +2438,15 @@ "output_type": "stream", "text": [ "Epoch 1/2\n", - "363/363 [==============================] - 1s 844us/step - loss: 1.7474 - huber_fn: 0.6846\n", + "363/363 [==============================] - 1s 728us/step - loss: 1.7474 - huber_fn: 0.6846\n", "Epoch 2/2\n", - "363/363 [==============================] - 0s 796us/step - loss: 0.7843 - huber_fn: 0.3136\n" + "363/363 [==============================] - 0s 724us/step - loss: 0.7843 - huber_fn: 0.3136\n" ] }, { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 99, @@ -2747,15 +2759,15 @@ "output_type": "stream", "text": [ "Epoch 1/2\n", - "363/363 [==============================] - 1s 886us/step - loss: 0.6492 - huber_metric_1: 0.6492\n", + "363/363 [==============================] - 1s 796us/step - loss: 0.6492 - huber_metric_1: 0.6492\n", "Epoch 2/2\n", - "363/363 [==============================] - 0s 838us/step - loss: 0.2912 - huber_metric_1: 0.2912\n" + "363/363 [==============================] - 0s 770us/step - loss: 0.2912 - huber_metric_1: 0.2912\n" ] }, { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 113, @@ -2776,14 +2788,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "INFO:tensorflow:Assets written to: my_model_with_a_custom_metric/assets\n" + "INFO:tensorflow:Assets written to: my_model_with_a_custom_metric\\assets\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "INFO:tensorflow:Assets written to: my_model_with_a_custom_metric/assets\n" + "INFO:tensorflow:Assets written to: my_model_with_a_custom_metric\\assets\n" ] } ], @@ -2816,15 +2828,15 @@ "output_type": "stream", "text": [ "Epoch 1/2\n", - "363/363 [==============================] - 1s 916us/step - loss: 0.2416 - huber_metric_1: 0.2416\n", + "363/363 [==============================] - 1s 822us/step - loss: 0.2416 - huber_metric_1: 0.2416\n", "Epoch 2/2\n", - "363/363 [==============================] - 0s 859us/step - loss: 0.2173 - huber_metric_1: 0.2173\n" + "363/363 [==============================] - 0s 855us/step - loss: 0.2173 - huber_metric_1: 0.2173\n" ] }, { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 116, @@ -2888,7 +2900,7 @@ "\n", " def get_config(self):\n", " base_config = super().get_config()\n", - " return {**base_config, \"threshold\": self.threshold} " + " return {**base_config, \"threshold\": self.threshold}" ] }, { @@ -2934,9 +2946,9 @@ "output_type": "stream", "text": [ "Epoch 1/2\n", - "363/363 [==============================] - 1s 898us/step - loss: 0.3272 - HuberMetric: 0.6594\n", + "363/363 [==============================] - 1s 812us/step - loss: 0.3272 - HuberMetric: 0.6594\n", "Epoch 2/2\n", - "363/363 [==============================] - 0s 892us/step - loss: 0.1449 - HuberMetric: 0.2919\n" + "363/363 [==============================] - 0s 859us/step - loss: 0.1449 - HuberMetric: 0.2919\n" ] } ], @@ -2977,14 +2989,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "INFO:tensorflow:Assets written to: my_model_with_a_custom_metric_v2/assets\n" + "INFO:tensorflow:Assets written to: my_model_with_a_custom_metric_v2\\assets\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "INFO:tensorflow:Assets written to: my_model_with_a_custom_metric_v2/assets\n" + "INFO:tensorflow:Assets written to: my_model_with_a_custom_metric_v2\\assets\n" ] } ], @@ -3012,15 +3024,15 @@ "output_type": "stream", "text": [ "Epoch 1/2\n", - "363/363 [==============================] - 1s 970us/step - loss: 0.2442 - HuberMetric: 0.2442\n", + "363/363 [==============================] - 1s 1ms/step - loss: 0.2442 - HuberMetric: 0.2442\n", "Epoch 2/2\n", - "363/363 [==============================] - 0s 857us/step - loss: 0.2184 - HuberMetric: 0.2184\n" + "363/363 [==============================] - 0s 1ms/step - loss: 0.2184 - HuberMetric: 0.2184\n" ] }, { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 125, @@ -3110,14 +3122,14 @@ "Epoch 1/5\n", "363/363 [==============================] - 1s 1ms/step - loss: 0.7784 - val_loss: 0.4393\n", "Epoch 2/5\n", - "363/363 [==============================] - 0s 891us/step - loss: 0.5702 - val_loss: 0.4094\n", + "363/363 [==============================] - 0s 1ms/step - loss: 0.5702 - val_loss: 0.4094\n", "Epoch 3/5\n", "363/363 [==============================] - 0s 1ms/step - loss: 0.4431 - val_loss: 0.3760\n", "Epoch 4/5\n", - "363/363 [==============================] - 0s 921us/step - loss: 0.4984 - val_loss: 0.3785\n", + "363/363 [==============================] - 0s 1ms/step - loss: 0.4984 - val_loss: 0.3785\n", "Epoch 5/5\n", - "363/363 [==============================] - 0s 943us/step - loss: 0.3966 - val_loss: 0.3633\n", - "162/162 [==============================] - 0s 631us/step - loss: 0.3781\n" + "363/363 [==============================] - 0s 1ms/step - loss: 0.3966 - val_loss: 0.3633\n", + "162/162 [==============================] - 0s 667us/step - loss: 0.3781\n" ] }, { @@ -3192,15 +3204,15 @@ "363/363 [==============================] - 1s 1ms/step - loss: 3.1183 - val_loss: 6.9549\n", "Epoch 2/2\n", "363/363 [==============================] - 0s 1ms/step - loss: 0.8702 - val_loss: 3.2627\n", - "162/162 [==============================] - 0s 718us/step - loss: 0.7039\n", - "INFO:tensorflow:Assets written to: my_model_with_a_custom_layer/assets\n" + "162/162 [==============================] - 0s 690us/step - loss: 0.7039\n", + "INFO:tensorflow:Assets written to: my_model_with_a_custom_layer\\assets\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "INFO:tensorflow:Assets written to: my_model_with_a_custom_layer/assets\n" + "INFO:tensorflow:Assets written to: my_model_with_a_custom_layer\\assets\n" ] } ], @@ -3236,7 +3248,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 132, @@ -3345,8 +3357,8 @@ } ], "source": [ - "# extra code – tests MyMultiLayer with actual data \n", - "X1, X2 = np.array([[3., 6.], [2., 7.]]), np.array([[6., 12.], [4., 3.]]) \n", + "# extra code – tests MyMultiLayer with actual data\n", + "X1, X2 = np.array([[3., 6.], [2., 7.]]), np.array([[6., 12.], [4., 3.]])\n", "MyMultiLayer()((X1, X2))" ] }, @@ -3395,8 +3407,8 @@ "Epoch 1/2\n", "363/363 [==============================] - 1s 1ms/step - loss: 2.2220 - val_loss: 25.1506\n", "Epoch 2/2\n", - "363/363 [==============================] - 0s 1ms/step - loss: 1.4104 - val_loss: 17.0415\n", - "162/162 [==============================] - 0s 655us/step - loss: 1.1059\n" + "363/363 [==============================] - 0s 968us/step - loss: 1.4104 - val_loss: 17.0415\n", + "162/162 [==============================] - 0s 643us/step - loss: 1.1059\n" ] }, { @@ -3487,16 +3499,16 @@ "Epoch 1/2\n", "363/363 [==============================] - 2s 1ms/step - loss: 32.7847\n", "Epoch 2/2\n", - "363/363 [==============================] - 0s 1ms/step - loss: 1.3612\n", + "363/363 [==============================] - 0s 986us/step - loss: 1.3612\n", "162/162 [==============================] - 0s 713us/step - loss: 1.1603\n", - "INFO:tensorflow:Assets written to: my_custom_model/assets\n" + "INFO:tensorflow:Assets written to: my_custom_model\\assets\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "INFO:tensorflow:Assets written to: my_custom_model/assets\n" + "INFO:tensorflow:Assets written to: my_custom_model\\assets\n" ] } ], @@ -3523,14 +3535,14 @@ "363/363 [==============================] - 2s 1ms/step - loss: 1.3451\n", "Epoch 2/2\n", "363/363 [==============================] - 0s 1ms/step - loss: 0.7928\n", - "1/1 [==============================] - 0s 76ms/step\n" + "1/1 [==============================] - 0s 66ms/step\n" ] }, { "data": { "text/plain": [ - "array([[1.1431919],\n", - " [1.0584592],\n", + "array([[1.1431925],\n", + " [1.0584602],\n", " [4.71127 ]], dtype=float32)" ] }, @@ -3623,14 +3635,14 @@ "Epoch 1/5\n", "363/363 [==============================] - 2s 1ms/step - loss: 0.8198 - reconstruction_error: 1.0892\n", "Epoch 2/5\n", - "363/363 [==============================] - 0s 1ms/step - loss: 0.4778 - reconstruction_error: 0.5583\n", + "363/363 [==============================] - 0s 984us/step - loss: 0.4778 - reconstruction_error: 0.5583\n", "Epoch 3/5\n", - "363/363 [==============================] - 0s 1ms/step - loss: 0.4419 - reconstruction_error: 0.4227\n", + "363/363 [==============================] - 0s 996us/step - loss: 0.4419 - reconstruction_error: 0.4227\n", "Epoch 4/5\n", "363/363 [==============================] - 0s 1ms/step - loss: 0.3852 - reconstruction_error: 0.3587\n", "Epoch 5/5\n", - "363/363 [==============================] - 0s 1ms/step - loss: 0.3714 - reconstruction_error: 0.3245\n", - "162/162 [==============================] - 0s 658us/step\n" + "363/363 [==============================] - 0s 985us/step - loss: 0.3714 - reconstruction_error: 0.3245\n", + "162/162 [==============================] - 0s 664us/step\n" ] } ], @@ -4277,7 +4289,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "28534c4a7baf4b78a8a9f1db10024cfd", + "model_id": "998f39b2e54e45c39cc5e49762920161", "version_major": 2, "version_minor": 0 }, @@ -4291,7 +4303,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "cd7c0a89c62f476db08f755e6e4f1178", + "model_id": "b7ff21aefc9d4806a86c08c815629763", "version_major": 2, "version_minor": 0 }, @@ -4305,7 +4317,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "5866293693b1455584e6a2e28811692a", + "model_id": "fd9c1c7f1eae4ec5b989f75c4c3bc616", "version_major": 2, "version_minor": 0 }, @@ -4319,7 +4331,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "84cf94014b644e07b649063016221d3f", + "model_id": "1c66b6ec68184579a8611026da49e3be", "version_major": 2, "version_minor": 0 }, @@ -4333,7 +4345,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "21e3803f4d4249049efc0b725c9bd23f", + "model_id": "47f209f17ce042bdb1c5e20900c49409", "version_major": 2, "version_minor": 0 }, @@ -4347,7 +4359,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "c8c0aa7115374ed8891175bafc6f7d0d", + "model_id": "cadab1abf01c495998a43bdcbe0fff21", "version_major": 2, "version_minor": 0 }, @@ -4459,7 +4471,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 180, @@ -4545,7 +4557,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 184, @@ -4613,7 +4625,7 @@ { "data": { "text/plain": [ - "PyGraph<6956689888>" + "" ] }, "execution_count": 187, @@ -4739,7 +4751,7 @@ { "data": { "text/plain": [ - "name: \"__inference_tf_cube_592407\"\n", + "name: \"__inference_tf_cube_592461\"\n", "input_arg {\n", " name: \"x\"\n", " type: DT_FLOAT\n", @@ -4876,14 +4888,14 @@ "output_type": "stream", "text": [ "x = Tensor(\"x:0\", shape=(2, 2), dtype=float32)\n", - "WARNING:tensorflow:5 out of the last 5 calls to triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details.\n" + "WARNING:tensorflow:5 out of the last 5 calls to triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "WARNING:tensorflow:5 out of the last 5 calls to triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details.\n" + "WARNING:tensorflow:5 out of the last 5 calls to triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details.\n" ] } ], @@ -4957,7 +4969,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Binding inputs to tf.function `shrink` failed due to `Can not cast TensorSpec(shape=(2, 2, 2), dtype=tf.float32, name=None) to TensorSpec(shape=(None, 28, 28), dtype=tf.float32, name=None)`. Received args: (....] - ETA: 0s - loss: 1.5746 - my_mae: 0.8719Tracing MyModel.call()\n", + "338/363 [==========================>...] - ETA: 0s - loss: 1.4975 - my_mae: 0.8461Tracing MyModel.call()\n", "Tracing MyDense.call()\n", "Tracing MyDense.call()\n", "Tracing MyDense.call()\n", @@ -5592,13 +5604,13 @@ "363/363 [==============================] - 1s 1ms/step - loss: 1.4303 - my_mae: 0.8219 - val_loss: 0.4932 - val_my_mae: 0.4764\n", "Epoch 2/2\n", "363/363 [==============================] - 0s 1ms/step - loss: 0.4386 - my_mae: 0.4760 - val_loss: 1.0322 - val_my_mae: 0.4793\n", - "162/162 [==============================] - 0s 704us/step - loss: 0.4204 - my_mae: 0.4711\n" + "162/162 [==============================] - 0s 659us/step - loss: 0.4204 - my_mae: 0.4711\n" ] }, { "data": { "text/plain": [ - "[0.4203692376613617, 0.4711270332336426]" + "[0.4203691780567169, 0.4711269736289978]" ] }, "execution_count": 230, @@ -5703,7 +5715,7 @@ { "data": { "text/plain": [ - "[5.545090198516846, 2.0603599548339844]" + "[5.5450897216796875, 2.0603599548339844]" ] }, "execution_count": 234, @@ -5801,7 +5813,7 @@ { "data": { "text/plain": [ - "[5.545090198516846, 2.0603599548339844]" + "[5.5450897216796875, 2.0603599548339844]" ] }, "execution_count": 238, @@ -5872,7 +5884,7 @@ " else:\n", " m.assign(-gradient * lr + m * momentum)\n", " variable.assign_add(m)\n", - " \n", + "\n", " def get_config(self):\n", " base_config = super().get_config()\n", " print(\"Config!\")\n", @@ -5893,21 +5905,21 @@ "output_type": "stream", "text": [ "Epoch 1/5\n", - "363/363 [==============================] - 0s 660us/step - loss: 1.1844\n", + "363/363 [==============================] - 0s 666us/step - loss: 1.1844\n", "Epoch 2/5\n", - "363/363 [==============================] - 0s 625us/step - loss: 0.5635\n", + "363/363 [==============================] - 0s 645us/step - loss: 0.5635\n", "Epoch 3/5\n", - "363/363 [==============================] - 0s 609us/step - loss: 0.9703\n", + "363/363 [==============================] - 0s 644us/step - loss: 0.9703\n", "Epoch 4/5\n", - "363/363 [==============================] - 0s 627us/step - loss: 0.5678\n", + "363/363 [==============================] - 0s 637us/step - loss: 0.5678\n", "Epoch 5/5\n", - "363/363 [==============================] - 0s 640us/step - loss: 0.6350\n" + "363/363 [==============================] - 0s 643us/step - loss: 0.6350\n" ] }, { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 240, @@ -5941,21 +5953,21 @@ "output_type": "stream", "text": [ "Epoch 1/5\n", - "363/363 [==============================] - 0s 645us/step - loss: 1.1844\n", + "363/363 [==============================] - 0s 670us/step - loss: 1.1844\n", "Epoch 2/5\n", - "363/363 [==============================] - 0s 721us/step - loss: 0.5635\n", + "363/363 [==============================] - 0s 651us/step - loss: 0.5635\n", "Epoch 3/5\n", - "363/363 [==============================] - 0s 612us/step - loss: 0.9703\n", + "363/363 [==============================] - 0s 681us/step - loss: 0.9703\n", "Epoch 4/5\n", - "363/363 [==============================] - 0s 625us/step - loss: 0.5678\n", + "363/363 [==============================] - 0s 684us/step - loss: 0.5678\n", "Epoch 5/5\n", - "363/363 [==============================] - 0s 626us/step - loss: 0.6350\n" + "363/363 [==============================] - 0s 678us/step - loss: 0.6350\n" ] }, { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 241, @@ -6179,7 +6191,22 @@ "cell_type": "code", "execution_count": 245, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/train-labels-idx1-ubyte.gz\n", + "29515/29515 [==============================] - 0s 0us/step\n", + "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/train-images-idx3-ubyte.gz\n", + "26421880/26421880 [==============================] - 2s 0us/step\n", + "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/t10k-labels-idx1-ubyte.gz\n", + "5148/5148 [==============================] - 0s 0s/step\n", + "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/t10k-images-idx3-ubyte.gz\n", + "4422102/4422102 [==============================] - 1s 0us/step\n" + ] + } + ], "source": [ "(X_train_full, y_train_full), (X_test, y_test) = tf.keras.datasets.fashion_mnist.load_data()\n", "X_train_full = X_train_full.astype(np.float32) / 255.\n", @@ -6233,7 +6260,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "a0c8a6efecb44efdbaf6f6f2107a37e6", + "model_id": "18e1e887778f42819c7083b106ba15c7", "version_major": 2, "version_minor": 0 }, @@ -6247,7 +6274,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "ba37766cb41848b4ae0f544c8ddf238f", + "model_id": "53af9eb383334e188f1babb56decf3d3", "version_major": 2, "version_minor": 0 }, @@ -6261,7 +6288,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "dc1d7d5c3f2148b1bb06e974bba09f52", + "model_id": "76697b05c1954a67b6dd29862561a4c6", "version_major": 2, "version_minor": 0 }, @@ -6275,7 +6302,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "a9fccf049df546079656b4fa4d53cf8a", + "model_id": "ab1890692c164c69a79426015c8b1f16", "version_major": 2, "version_minor": 0 }, @@ -6289,7 +6316,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "e63ee530efcf46af907e7ee80bea8be0", + "model_id": "f449aae3983c4af2b91172f3abeebe87", "version_major": 2, "version_minor": 0 }, @@ -6303,7 +6330,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "a9bbff8ceb73461398293a4f5f1cade8", + "model_id": "726499994a474e6195862056010b865c", "version_major": 2, "version_minor": 0 }, @@ -6329,7 +6356,7 @@ " optimizer.apply_gradients(zip(gradients, model.trainable_variables))\n", " for variable in model.variables:\n", " if variable.constraint is not None:\n", - " variable.assign(variable.constraint(variable)) \n", + " variable.assign(variable.constraint(variable))\n", " status = OrderedDict()\n", " mean_loss(loss)\n", " status[\"loss\"] = mean_loss.result().numpy()\n", @@ -6413,7 +6440,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "5bdc4d309e3e4f03a27150634a0b89c3", + "model_id": "2ad1799119244d4ab9a627887deff693", "version_major": 2, "version_minor": 0 }, @@ -6427,7 +6454,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b816337dd6ba4177a8bcdd41639a8930", + "model_id": "9cb8d0fc3b654140ba2221b12c9825ff", "version_major": 2, "version_minor": 0 }, @@ -6441,7 +6468,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b4cba66f77474d2b9f9de9a207eadf6c", + "model_id": "46e11226faa24ab08025845323a5edb5", "version_major": 2, "version_minor": 0 }, @@ -6455,7 +6482,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "5649fae110bf4f90bce00b39838e05bf", + "model_id": "3f1f3690c314406ab6d093829bc469b8", "version_major": 2, "version_minor": 0 }, @@ -6469,7 +6496,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "7cd99923c6cc43e78faf87b13be2df7b", + "model_id": "728081ca6ba34450823b2bfad07da850", "version_major": 2, "version_minor": 0 }, @@ -6483,7 +6510,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "39ad913b024f4a2bb31477cfb2d61fbf", + "model_id": "7ff06fc06fd94a4c8569c80614189c1d", "version_major": 2, "version_minor": 0 }, @@ -6512,7 +6539,7 @@ " del tape\n", " for variable in model.variables:\n", " if variable.constraint is not None:\n", - " variable.assign(variable.constraint(variable)) \n", + " variable.assign(variable.constraint(variable))\n", " status = OrderedDict()\n", " mean_loss(loss)\n", " status[\"loss\"] = mean_loss.result().numpy()\n", @@ -6553,7 +6580,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.6" + "version": "3.10.11" } }, "nbformat": 4, diff --git a/CMakeLists.txt b/CMakeLists.txt new file mode 100644 index 0000000..f7c8719 --- /dev/null +++ b/CMakeLists.txt @@ -0,0 +1,206 @@ +cmake_minimum_required(VERSION 3.10) + +project(SwigPythonDistributions NONE) + +set(default_build_type "Release") +if(NOT CMAKE_BUILD_TYPE AND NOT CMAKE_CONFIGURATION_TYPES) + message(STATUS "Setting build type to '${default_build_type}' as none was specified.") + set(CMAKE_BUILD_TYPE "${default_build_type}" CACHE + STRING "Choose the type of build." FORCE) + set_property(CACHE CMAKE_BUILD_TYPE PROPERTY STRINGS + "Debug" "Release" "MinSizeRel" "RelWithDebInfo") +endif() + +enable_language(CXX) +include(ExternalProject) + +include(swig_version.cmake) + +set(_swig_cache_args) +set(_swig_build_flags) + +if(WIN32) + set(_swig_build_flags "${_swig_build_flags} -static -static-libgcc -static-libstdc++") + if (SWIG VERSION_LESS 4.1.0) + # Building with Makefiles on Windows using MSYS is a royal pain + # Makefiles were trying to run using the git bash copy of sh.exe, but + # of course, those failed to run due to a SPACE in the path name + # because "Program Files"... + set(WIN_USE_PREBUILT ON) + endif() +endif() + + + +function(tmp_ExternalProject_add_Empty prj deps) + set(deps_args) + if(NOT deps STREQUAL "") + set(deps_args DEPENDS ${deps}) + endif() + ExternalProject_add(${prj} + SOURCE_DIR ${CMAKE_BINARY_DIR}/${prj} + DOWNLOAD_COMMAND "" + UPDATE_COMMAND "" + CONFIGURE_COMMAND "" + BUILD_COMMAND "" + BUILD_IN_SOURCE 1 + INSTALL_COMMAND "" + ${deps_args} + ) +endfunction() + +# PCRE2 +set(PCRE2_SOURCE_DIR ${CMAKE_BINARY_DIR}/PCRE2-src) +set(PCRE2_BINARY_DIR ${CMAKE_BINARY_DIR}/PCRE2-build) +set(PCRE2_INSTALL_DIR ${CMAKE_BINARY_DIR}/PCRE2-install) + +# PCRE +set(PCRE_SOURCE_DIR ${CMAKE_BINARY_DIR}/PCRE-src) +set(PCRE_BINARY_DIR ${CMAKE_BINARY_DIR}/PCRE-build) +set(PCRE_INSTALL_DIR ${CMAKE_BINARY_DIR}/PCRE-install) + +if(NOT WIN_USE_PREBUILT) + if(NOT SWIG_VERSION VERSION_LESS 4.1.0) + ExternalProject_add(PCRE2 + SOURCE_DIR ${PCRE2_SOURCE_DIR} + BINARY_DIR ${PCRE2_BINARY_DIR} + INSTALL_DIR ${PCRE2_INSTALL_DIR} + URL "https://github.com/PCRE2Project/pcre2/releases/download/pcre2-10.40/pcre2-10.40.zip" + URL_HASH "SHA256=b6ee01732f0e41296e60a00ce37fbed1c4955ae7e7625b1fd29a55605c9493b4" + CMAKE_CACHE_ARGS + -DCMAKE_BUILD_TYPE:STRING=${default_build_type} + -DCMAKE_INSTALL_PREFIX:PATH= + -DCMAKE_INSTALL_LIBDIR:STRING=lib + -DCMAKE_C_STANDARD:STRING=99 + "-DCMAKE_OSX_ARCHITECTURES:STRING=${CMAKE_OSX_ARCHITECTURES}" + ) + list(APPEND _swig_cache_args + -DPCRE2_LIBRARY:FILEPATH=${PCRE2_INSTALL_DIR}/lib/${CMAKE_STATIC_LIBRARY_PREFIX}pcre2-8${CMAKE_STATIC_LIBRARY_SUFFIX} + -DPCRE2_INCLUDE_DIR:PATH=${PCRE2_INSTALL_DIR}/include + ) + else() + ExternalProject_add(PCRE + SOURCE_DIR ${PCRE_SOURCE_DIR} + BINARY_DIR ${PCRE_BINARY_DIR} + INSTALL_DIR ${PCRE_INSTALL_DIR} + URL "https://prdownloads.sourceforge.net/pcre/pcre-8.45.tar.gz" + URL_HASH "SHA256=4e6ce03e0336e8b4a3d6c2b70b1c5e18590a5673a98186da90d4f33c23defc09" + CMAKE_CACHE_ARGS + -DCMAKE_BUILD_TYPE:STRING=${default_build_type} + -DCMAKE_INSTALL_PREFIX:PATH= + -DCMAKE_INSTALL_LIBDIR:STRING=lib + "-DCMAKE_OSX_ARCHITECTURES:STRING=${CMAKE_OSX_ARCHITECTURES}" + ) + list(APPEND _swig_cache_args + -DPCRE_LIBRARY:FILEPATH=${PCRE_INSTALL_DIR}/lib/${CMAKE_STATIC_LIBRARY_PREFIX}pcre${CMAKE_STATIC_LIBRARY_SUFFIX} + -DPCRE_INCLUDE_DIR:PATH=${PCRE_INSTALL_DIR}/include + ) + endif() +endif() + +# Bison +find_package(BISON) +if(NOT BISON_FOUND AND NOT WIN_USE_PREBUILT) + set(BISON_SOURCE_DIR ${CMAKE_BINARY_DIR}/BISON-bin-src) + set(BISON_BINARY_DIR ${CMAKE_BINARY_DIR}/BISON-bin-build) + set(BISON_INSTALL_DIR ${CMAKE_BINARY_DIR}/BISON-bin-install) + set(BISON_BINARY_DIST_DIR ${CMAKE_BINARY_DIR}/BISON-bin-dist) + set(BISON_BINARY_DIST_ARCH_DIR ${CMAKE_BINARY_DIR}/BISON-bin-dist-arch) + if(WIN32) + # Easiest to just download a precompiled binary +# ExternalProject_add(BISON-bin +# SOURCE_DIR ${BISON_SOURCE_DIR} +# BINARY_DIR ${BISON_BINARY_DIR} +# URL "https://github.com/lexxmark/winflexbison/archive/v2.5.24.tar.gz" +# URL_HASH "SHA256=a49d6e310636e3487e1e066e411d908cfeae2d5b5fde1f3cf74fe1d6d4301062" +# CMAKE_CACHE_ARGS +# -DCMAKE_INSTALL_PREFIX:PATH=${BISON_INSTALL_DIR} +# INSTALL_DIR ${BISON_INSTALL_DIR} +# ) + ExternalProject_add(BISON-bin + SOURCE_DIR ${BISON_BINARY_DIST_DIR} + URL "https://github.com/lexxmark/winflexbison/releases/download/v2.5.24/win_flex_bison-2.5.24.zip" + URL_HASH "SHA256=39c6086ce211d5415500acc5ed2d8939861ca1696aee48909c7f6daf5122b505" + DOWNLOAD_DIR ${BISON_SOURCE_DIR} + CONFIGURE_COMMAND "" + BUILD_COMMAND "" + BUILD_IN_SOURCE 1 + INSTALL_COMMAND "" + ) + list(APPEND _swig_cache_args + -DBISON_EXECUTABLE:FILEPATH=${BISON_BINARY_DIST_DIR}/win_bison${CMAKE_EXECUTABLE_SUFFIX} + ) + else() + # Build from source on platforms that could reasonably already have autotools installed + ExternalProject_add(BISON-bin + SOURCE_DIR ${BISON_SOURCE_DIR} + INSTALL_DIR ${BISON_INSTALL_DIR} + URL "https://ftp.gnu.org/gnu/bison/bison-3.7.tar.gz" + URL_HASH "SHA256=492ad61202de893ca21a99b621d63fa5389da58804ad79d3f226b8d04b803998" + CONFIGURE_COMMAND /configure --prefix= + BUILD_COMMAND make + BUILD_IN_SOURCE 1 + INSTALL_COMMAND make install + ) + list(APPEND _swig_cache_args + -DBISON_EXECUTABLE:FILEPATH=${BISON_INSTALL_DIR}/bin/bison${CMAKE_EXECUTABLE_SUFFIX} + ) + endif() +else() + tmp_ExternalProject_add_Empty(BISON-bin "") +endif() + +# SWIG +set(SWIG_SOURCE_DIR ${CMAKE_BINARY_DIR}/SWIG-src) +set(SWIG_BINARY_DIR ${CMAKE_BINARY_DIR}/SWIG-build) + +if(NOT WIN_USE_PREBUILT) + if(NOT SWIG_VERSION VERSION_LESS 4.1.0) + ExternalProject_add(SWIG + SOURCE_DIR ${SWIG_SOURCE_DIR} + BINARY_DIR ${SWIG_BINARY_DIR} + URL "https://github.com/swig/swig/archive/refs/tags/v${SWIG_VERSION}.tar.gz" + #URL "https://github.com/swig/swig/archive/master.tar.gz" + CMAKE_CACHE_ARGS + -DBUILD_TESTING:BOOL=OFF + -DCMAKE_INSTALL_PREFIX:PATH=${CMAKE_INSTALL_PREFIX} + "-DCMAKE_C_FLAGS:STRING=${_swig_build_flags}" + "-DCMAKE_CXX_FLAGS:STRING=${_swig_build_flags}" + "-DCMAKE_OSX_ARCHITECTURES:STRING=${CMAKE_OSX_ARCHITECTURES}" + ${_swig_cache_args} + INSTALL_COMMAND "" + DEPENDS + PCRE2 + BISON-bin + ) + install(SCRIPT ${SWIG_BINARY_DIR}/cmake_install.cmake) + else() + set(SWIG_INSTALL_DIR ${CMAKE_BINARY_DIR}/SWIG-install) + ExternalProject_add(SWIG + SOURCE_DIR ${SWIG_SOURCE_DIR} + INSTALL_DIR ${SWIG_INSTALL_DIR} + URL "https://prdownloads.sourceforge.net/swig/swig-${SWIG_VERSION}.tar.gz" + CONFIGURE_COMMAND ${CMAKE_COMMAND} -E env PCRE_CONFIG=${PCRE_INSTALL_DIR}/bin/pcre-config ${MSYSTEM} ${MSYS_CMD} ${MSYS_SHELL} ${WIN_MSYS_HERE} /configure --prefix= + BUILD_COMMAND make -j + BUILD_IN_SOURCE ON + INSTALL_COMMAND make -j install DESTDIR= + DEPENDS + PCRE + BISON-bin + ) + install(PROGRAMS ${SWIG_INSTALL_DIR}/bin/ DESTINATION bin) + install(FILES ${SWIG_INSTALL_DIR}/share/ DESTINATION share) + endif() +else(NOT WIN_USE_PREBUILT) + # building on Windows with MinGW from Makefiles is a pain -- simply get precompiled Windows binaries instead + set(SWIG_INSTALL_DIR ${CMAKE_BINARY_DIR}/SWIG-install) + ExternalProject_add(SWIG + SOURCE_DIR ${SWIG_INSTALL_DIR} + URL "https://prdownloads.sourceforge.net/swig/swigwin-${SWIG_VERSION}.zip" + CONFIGURE_COMMAND "" + BUILD_COMMAND "" + INSTALL_COMMAND "" + ) + install(PROGRAMS ${SWIG_INSTALL_DIR}/swig.exe DESTINATION bin) + install(FILES ${SWIG_INSTALL_DIR}/Lib/ DESTINATION share/swig/${SWIG_VERSION}) +endif() diff --git a/LICENSE-GPL b/LICENSE-GPL new file mode 100644 index 0000000..94a9ed0 --- /dev/null +++ b/LICENSE-GPL @@ -0,0 +1,674 @@ + GNU GENERAL PUBLIC LICENSE + Version 3, 29 June 2007 + + Copyright (C) 2007 Free Software Foundation, Inc. + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The GNU General Public License is a free, copyleft license for +software and other kinds of works. + + The licenses for most software and other practical works are designed +to take away your freedom to share and change the works. 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If not, see . + +Also add information on how to contact you by electronic and paper mail. + + If the program does terminal interaction, make it output a short +notice like this when it starts in an interactive mode: + + Copyright (C) + This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. + This is free software, and you are welcome to redistribute it + under certain conditions; type `show c' for details. + +The hypothetical commands `show w' and `show c' should show the appropriate +parts of the General Public License. Of course, your program's commands +might be different; for a GUI interface, you would use an "about box". + + You should also get your employer (if you work as a programmer) or school, +if any, to sign a "copyright disclaimer" for the program, if necessary. +For more information on this, and how to apply and follow the GNU GPL, see +. + + The GNU General Public License does not permit incorporating your program +into proprietary programs. If your program is a subroutine library, you +may consider it more useful to permit linking proprietary applications with +the library. If this is what you want to do, use the GNU Lesser General +Public License instead of this License. But first, please read +. diff --git a/LICENSE-SWIG b/LICENSE-SWIG new file mode 100644 index 0000000..f5166ed --- /dev/null +++ b/LICENSE-SWIG @@ -0,0 +1,22 @@ +SWIG is free software: you can redistribute it and/or modify it +under the terms of the GNU General Public License as published by +the Free Software Foundation, either version 3 of the License, or +(at your option) any later version. See the LICENSE-GPL file for +the full terms of the GNU General Public license version 3. + +Portions of SWIG are also licensed under the terms of the licenses +in the file LICENSE-UNIVERSITIES. You must observe the terms of +these licenses, as well as the terms of the GNU General Public License, +when you distribute SWIG. + +The SWIG library and examples, under the Lib and Examples top level +directories, are distributed under the following terms: + + You may copy, modify, distribute, and make derivative works based on + this software, in source code or object code form, without + restriction. If you distribute the software to others, you may do + so according to the terms of your choice. This software is offered as + is, without warranty of any kind. + +See the COPYRIGHT file for a list of contributors to SWIG and their +copyright notices. diff --git a/LICENSE-UNIVERSITIES b/LICENSE-UNIVERSITIES new file mode 100644 index 0000000..c8288f1 --- /dev/null +++ b/LICENSE-UNIVERSITIES @@ -0,0 +1,94 @@ +SWIG is distributed under the following terms: + +I. + +Copyright (c) 1995-1998 +The University of Utah and the Regents of the University of California +All Rights Reserved + +Permission is hereby granted, without written agreement and without +license or royalty fees, to use, copy, modify, and distribute this +software and its documentation for any purpose, provided that +(1) The above copyright notice and the following two paragraphs +appear in all copies of the source code and (2) redistributions +including binaries reproduces these notices in the supporting +documentation. Substantial modifications to this software may be +copyrighted by their authors and need not follow the licensing terms +described here, provided that the new terms are clearly indicated in +all files where they apply. + +IN NO EVENT SHALL THE AUTHOR, THE UNIVERSITY OF CALIFORNIA, THE +UNIVERSITY OF UTAH OR DISTRIBUTORS OF THIS SOFTWARE BE LIABLE TO ANY +PARTY FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL +DAMAGES ARISING OUT OF THE USE OF THIS SOFTWARE AND ITS DOCUMENTATION, +EVEN IF THE AUTHORS OR ANY OF THE ABOVE PARTIES HAVE BEEN ADVISED OF +THE POSSIBILITY OF SUCH DAMAGE. + +THE AUTHOR, THE UNIVERSITY OF CALIFORNIA, AND THE UNIVERSITY OF UTAH +SPECIFICALLY DISCLAIM ANY WARRANTIES,INCLUDING, BUT NOT LIMITED TO, +THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR +PURPOSE. THE SOFTWARE PROVIDED HEREUNDER IS ON AN "AS IS" BASIS, AND +THE AUTHORS AND DISTRIBUTORS HAVE NO OBLIGATION TO PROVIDE MAINTENANCE, +SUPPORT, UPDATES, ENHANCEMENTS, OR MODIFICATIONS. + + +II. + +This software includes contributions that are Copyright (c) 1998-2005 +University of Chicago. +All rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are +met: + +Redistributions of source code must retain the above copyright notice, +this list of conditions and the following disclaimer. Redistributions +in binary form must reproduce the above copyright notice, this list of +conditions and the following disclaimer in the documentation and/or +other materials provided with the distribution. Neither the name of +the University of Chicago nor the names of its contributors may be +used to endorse or promote products derived from this software without +specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE UNIVERSITY OF CHICAGO AND CONTRIBUTORS +"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT +LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A +PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE UNIVERSITY OF +CHICAGO OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, +SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED +TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR +PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF +LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING +NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS +SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. + + +III. + +This software includes contributions that are Copyright (c) 2005-2006 +Arizona Board of Regents (University of Arizona). +All Rights Reserved + +Permission is hereby granted, without written agreement and without +license or royalty fees, to use, copy, modify, and distribute this +software and its documentation for any purpose, provided that +(1) The above copyright notice and the following paragraph +appear in all copies of the source code and (2) redistributions +including binaries reproduces these notices in the supporting +documentation. Substantial modifications to this software may be +copyrighted by their authors and need not follow the licensing terms +described here, provided that the new terms are clearly indicated in +all files where they apply. + +THIS SOFTWARE IS PROVIDED BY THE UNIVERSITY OF ARIZONA AND CONTRIBUTORS +"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT +LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A +PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE UNIVERSITY OF +ARIZONA OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, +SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED +TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR +PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF +LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING +NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS +SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. diff --git a/README.md b/README.md index c3d4c46..9f2d7df 100644 --- a/README.md +++ b/README.md @@ -1,84 +1,68 @@ -Machine Learning Notebooks, 3rd edition -================================= +SWIG Python Distributions +========================= -This project aims at teaching you the fundamentals of Machine Learning in -python. It contains the example code and solutions to the exercises in the third edition of my O'Reilly book [Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow (3rd edition)](https://homl.info/er3): +[![PyPI](https://img.shields.io/pypi/v/swig.svg)](https://pypi.org/project/swig) - +A project that packages SWIG as a Python package, enabling `swig` to be installed from PyPI: -**Note**: If you are looking for the second edition notebooks, check out [ageron/handson-ml2](https://github.com/ageron/handson-ml2). For the first edition, see [ageron/handson-ml](https://github.com/ageron/handson-ml). +```sh +pip install swig +``` -## Quick Start +or used as part of `build-system.requires` in a pyproject.toml file: -### Want to play with these notebooks online without having to install anything? +```toml +[build-system] +requires = ["swig"] +``` -* Open In Colab (recommended) +PyPI package versions will follow the `major.minor.patch` version numbers of SWIG releases. -⚠ _Colab provides a temporary environment: anything you do will be deleted after a while, so make sure you download any data you care about._ +Binary wheels for Windows, macOS, and Linux for most CPU architectures supported on PyPI are provided. ARM wheels for Raspberry Pi available at https://www.piwheels.org/project/swig/. -
+[SWIG PyPI Package Homepage](https://github.com/nightlark/swig-pypi) -Other services may work as well, but I have not fully tested them: +[SWIG Homepage](http://www.swig.org/) -* Open in Kaggle +[SWIG Source Code](https://github.com/swig/swig/) -* Launch binder +[SWIG License](https://github.com/swig/swig/blob/master/LICENSE): GPL-3.0-or-later with portions under [LICENSE-UNIVERSITIES](https://github.com/nightlark/swig-pypi/blob/main/LICENSE-UNIVERSITIES) (see [LICENSE-SWIG](https://github.com/nightlark/swig-pypi/blob/main/LICENSE-SWIG) for details) -* Launch in Deepnote +Installing SWIG +=============== -
+SWIG can be installed by pip with: -### Just want to quickly look at some notebooks, without executing any code? +```sh +pip install swig +``` -* Render nbviewer +or: -* [github.com's notebook viewer](https://github.com/ageron/handson-ml3/blob/main/index.ipynb) also works but it's not ideal: it's slower, the math equations are not always displayed correctly, and large notebooks often fail to open. +```sh +python -m pip install swig +``` -### Want to run this project using a Docker image? -Read the [Docker instructions](https://github.com/ageron/handson-ml3/tree/main/docker). +Building from the source dist package requires internet access in order to download a copy of the SWIG source code. -### Want to install this project on your own machine? +Using with pipx +=============== -Start by installing [Anaconda](https://www.anaconda.com/products/distribution) (or [Miniconda](https://docs.conda.io/en/latest/miniconda.html)), [git](https://git-scm.com/downloads), and if you have a TensorFlow-compatible GPU, install the [GPU driver](https://www.nvidia.com/Download/index.aspx), as well as the appropriate version of CUDA and cuDNN (see TensorFlow's documentation for more details). +Using `pipx run swig ` will run SWIG without any install step, as long as the machine has pipx installed (which includes GitHub Actions runners). -Next, clone this project by opening a terminal and typing the following commands (do not type the first `$` signs on each line, they just indicate that these are terminal commands): +Using with pyproject.toml +========================= - $ git clone https://github.com/ageron/handson-ml3.git - $ cd handson-ml3 +SWIG can be added to the `build-system.requires` key in a pyproject.toml file for building Python extensions that use SWIG to generate bindings. -Next, run the following commands: +```toml +[build-system] +requires = ["swig"] +``` - $ conda env create -f environment.yml - $ conda activate homl3 - $ python -m ipykernel install --user --name=python3 +License +======= -Finally, start Jupyter: +The code for this project is covered by the [Apache License, Version 2.0](http://www.apache.org/licenses/LICENSE-2.0). Source distributions do not include a copy of the SWIG source code or binaries. Binary wheels are covered by the SWIG license (GPLv3), due to their inclusion of a compiled SWIG binary and library files. - $ jupyter notebook - -If you need further instructions, read the [detailed installation instructions](INSTALL.md). - -# FAQ - -**Which Python version should I use?** - -I recommend Python 3.10. If you follow the installation instructions above, that's the version you will get. Any version ≥3.7 should work as well. - -**I'm getting an error when I call `load_housing_data()`** - -If you're getting an HTTP error, make sure you're running the exact same code as in the notebook (copy/paste it if needed). If the problem persists, please check your network configuration. If it's an SSL error, see the next question. - -**I'm getting an SSL error on MacOSX** - -You probably need to install the SSL certificates (see this [StackOverflow question](https://stackoverflow.com/questions/27835619/urllib-and-ssl-certificate-verify-failed-error)). If you downloaded Python from the official website, then run `/Applications/Python\ 3.10/Install\ Certificates.command` in a terminal (change `3.10` to whatever version you installed). If you installed Python using MacPorts, run `sudo port install curl-ca-bundle` in a terminal. - -**I've installed this project locally. How do I update it to the latest version?** - -See [INSTALL.md](INSTALL.md) - -**How do I update my Python libraries to the latest versions, when using Anaconda?** - -See [INSTALL.md](INSTALL.md) - -## Contributors -I would like to thank everyone [who contributed to this project](https://github.com/ageron/handson-ml3/graphs/contributors), either by providing useful feedback, filing issues or submitting Pull Requests. Special thanks go to Haesun Park and Ian Beauregard who reviewed every notebook and submitted many PRs, including help on some of the exercise solutions. Thanks as well to Steven Bunkley and Ziembla who created the `docker` directory, and to github user SuperYorio who helped on some exercise solutions. Thanks a lot to Victor Khaustov who submitted plenty of excellent PRs, fixing many errors. And lastly, thanks to Google ML Developer Programs team who supported this work by providing Google Cloud Credit. +SWIG is distributed under the [GNU General Public License v3 or later](https://github.com/swig/swig/blob/master/LICENSE) with portions under the file [LICENSE-UNIVERSITIES](https://github.com/swig/swig/blob/master/LICENSE-UNIVERSITIES). For more information about SWIG, visit [http://www.swig.org](http://www.swig.org/)