diff --git a/doc/Textbooks/TensorflowML.pdf b/doc/Textbooks/TensorflowML.pdf new file mode 100644 index 000000000..34de4384e Binary files /dev/null and b/doc/Textbooks/TensorflowML.pdf differ diff --git a/doc/pub/How2ReadData/ipynb/How2ReadData.ipynb b/doc/pub/How2ReadData/ipynb/How2ReadData.ipynb index 00b3d6745..a64cef2de 100644 --- a/doc/pub/How2ReadData/ipynb/How2ReadData.ipynb +++ b/doc/pub/How2ReadData/ipynb/How2ReadData.ipynb @@ -228,11 +228,22 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "%matplotlib inline\n", "\n", @@ -242,7 +253,7 @@ "from sklearn.linear_model import LinearRegression\n", "\n", "x = np.random.rand(100,1)\n", - "y = 2*x+np.random.randn(100,1)\n", + "y = 2*x+0.01*np.random.randn(100,1)\n", "linreg = LinearRegression()\n", "linreg.fit(x,y)\n", "xnew = np.array([[0],[1]])\n", @@ -354,18 +365,29 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 4, "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "from sklearn.linear_model import LinearRegression\n", "\n", "x = np.random.rand(100,1)\n", - "y = 5*x+0.01*np.random.randn(100,1)\n", + "y = 5*x+np.random.randn(100,1)\n", "linreg = LinearRegression()\n", "linreg.fit(x,y)\n", "ypredict = linreg.predict(x)\n", @@ -398,11 +420,36 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 6, "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The intercept alpha: \n", + " [2.00029746]\n", + "Coefficient beta : \n", + " [[4.99810529]]\n", + "Mean squared error: 0.00\n", + "Variance score: 1.00\n", + "Mean squared log error: 0.00\n", + "Mean absolute error: 0.01\n" + ] + }, + { + "data": { + "image/png": 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APQKzdqpU4KKL4ODB5HGWjWIGBpJAMTrq0UDWFQ4EZu20adN0EMhiwwbYurVz7THLwKkh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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "import numpy as np \n", "import matplotlib.pyplot as plt \n", @@ -410,7 +457,7 @@ "from sklearn.metrics import mean_squared_error, r2_score, mean_squared_log_error, mean_absolute_error\n", "\n", "x = np.random.rand(100,1)\n", - "y = 2.0+ 5*x+0.5*np.random.randn(100,1)\n", + "y = 2.0+ 5*x+0.01*np.random.randn(100,1)\n", "linreg = LinearRegression()\n", "linreg.fit(x,y)\n", "ypredict = linreg.predict(x)\n", @@ -545,11 +592,29 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 7, "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.004999999999999996\n" + ] + } + ], "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np\n", @@ -1588,11 +1653,42 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 8, "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2nd degree coefficients:\n", + "zero power: -1.6117893509522023\n", + "first power: -0.045798465863011374\n", + "second power: -0.00033439908310422357\n" + ] + }, + { + "data": { + "image/png": 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zGSEEfi5+6R78d5PucjjqcIZj8joXHYejDnM3Kb1MeVBkEGXtylLeofyTGWVr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\nwy7Axxhzx3cV95L2elIqZzPGUOfFOmyZsYXwh8L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v3s0///lP3nzTuJVs06ZN2ZqW7I8+ffpcV77ly5czevToEn9vUUpV+kf37t1V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\nj6Zp5ct3pC9XvrjCvzr/iw1TN/Cvzv/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k7mHZoGUAXHnplTmPUetRiIjEKH0kVJu2RY7K\nK8sZP2084788npJ/lMDd0FrSyopNK9r3LUuWUTuu4/t7mwqFiMg5pjQRXD/xwScfMGvlLAAmbZ3E\nQzxE/a56Fqxc0L7viPIRKhQiIoWmamAVSz+3lDfePzkf6oiWEQCMTI5kzvA5ADT3b2bQeYOyHo+m\nGRcR6QMO//MwG27suJjRp/0+5fgvjnPrN27t0Wdq4SIRkTwycMJAdvbfyaHwXzPNlLSWsGLpiu7f\nnCEVChGRPiBRnmDw8sHMT81nfmo+h8YdAuD2Gbdn/btVKERE+oja2loaGhpoaGjgiporALi65uqs\nf68KhYhIH9SvOPjz7cezf55ZhUJEpA+yZDBhYNOupqx/lwqFiEgf1HZEseP+HaxevTq735XVTxcR\nkayo/FIlB4oPsIUtHeaJygYVChGRPmjIzUMo+W0Jy6qXdZgnKht0wZ2ISIHSBXciItIrVChERCSS\nCoWIiERSoRARkUgqFCIiEkmFQkREIqlQiIhIpLy4jsLMDgA7M/iISuBgL4XTFxRavqCcC4VyPjuj\n3X1odzvlRaHIlJm9diYXneSLQssXlHOhUM7Zoa4nERGJpEIhIiKRVCgCT8YdQI4VWr6gnAuFcs4C\nnaMQEZFIOqIQEZFIKhQiIhKpoAuFmU01sy1mts3MFsYdT7aY2Q4ze8vMNpjZa+G2IWb2NzPbGt4P\njjvOTJjZ02a238w2pW3rNEcL/Cxs941mNiG+yHuui5wfNLPGsK03mNm0tNe+F+a8xcw+H0/UPWdm\nI83sZTN728w2m9nd4fa8beeInHPbzu5ekDegCPgvcDFQDNQDl8UdV5Zy3QFUnrLtx8DC8PFC4KG4\n48wwxxuACcCm7nIEpgF/Agy4FlgXd/y9mPODwHc72fey8Ge8BBgT/uwXxZ3DWeY7DJgQPi4H3g3z\nytt2jsg5p+1cyEcUk4Bt7r7d3Y8DzwN1MceUS3XAM+HjZ4AvxhhLxtz9FeDQKZu7yrEOeNYDa4EK\nMxuWm0h7Txc5d6UOeN7dP3X3BmAbwe9An+Hue939jfDxx8A7wAjyuJ0jcu5KVtq5kAvFCGBX2vPd\nRDdAX+bAX83sdTObG26rcve94eP3gap4QsuqrnLM97afF3a1PJ3WpZhXOZtZCrgKWEeBtPMpOUMO\n27mQC0Uhud7dJwC3AHea2Q3pL3pwzJrX46QLIcfQMuASoAbYCzwSbzi9z8wGAiuB77j7R+mv5Ws7\nd5JzTtu5kAtFIzAy7flF4ba84+6N4f1+4AWCQ9F9bYfh4f3++CLMmq5yzNu2d/d97t7i7q3AU5zs\ndsiLnM0sSfAH8zl3XxVuzut27iznXLdzIReKfwNjzWyMmRUDs4DVMcfU68xsgJmVtz0GpgCbCHKd\nE+42B/hDPBFmVVc5rgZmh6NirgWOpHVd9Gmn9MFPJ2hrCHKeZWYlZjYGGAusz3V8mTAzA34JvOPu\nj6a9lLft3FXOOW/nuM/qx3kjGBXxLsHIgEVxx5OlHC8mGAVRD2xuyxM4H/g7sBV4CRgSd6wZ5rmc\n4BC8maBf9mtd5UgwCubnYbu/BUyMO/5ezPnXYU4bwz8aw9L2XxTmvAW4Je74e5Dv9QTdShuBDeFt\nWj63c0TOOW1nTeEhIiKRCrnrSUREzoAKhYiIRFKhEBGRSCoUIiISSYVCREQiqVCI9ICZtYSzdm42\ns3ozm29mkb9PZpYys9tzFaNIb1GhEOmZT9y9xt0vB24mmB7lgW7ekwJUKKTP0XUUIj1gZkfdfWDa\n84sJrvavBEYTXBA1IHx5nru/amZrgUuBBoJZTl/obL8cpSByxlQoRHrg1EIRbjsMjAM+BlrdvcnM\nxgLL3X2imd1IsIbAF8L9+3e2X24zEeleIu4ARPJQEnjczGqAFuAzGe4nEisVCpFeEHY9tRDMXPoA\nsA+oJjgP2NTF2+45w/1EYqWT2SIZMrOhwBPA4x705Z4H7PVgCug7CJbdhaBLqjztrV3tJ3JO0TkK\nkR4wsxaC2TuTwAmCk9KPuntreL5hJcGsn38G7nT3geG6An8hmO30V8CLne2X61xEuqNCISIikdT1\nJCIikVQoREQkkgqFiIhEUqEQEZFIKhQiIhJJhUJERCKpUIiISKT/A62tdrPRYZw5AAAAAElFTkSu\nQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", @@ -1683,9 +1779,36 @@ "plt.legend()\n", "plt.show()" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] } ], - "metadata": {}, + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.5" + } + }, "nbformat": 4, "nbformat_minor": 2 }