{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Machine Learning Module\n", "\n", "**Lecturer:** Ashish Mahabal
\n", "**Jupyter Notebook Authors:** Ashish Mahabal & Yuhan Yao\n", "\n", "This is a Jupyter notebook lesson taken from the GROWTH Summer School 2019. For other lessons and their accompanying lectures, please see: http://growth.caltech.edu/growth-school-2019.html\n", "\n", "## Objective\n", "Classify different classes using (a) decision trees and (b) random forest \n", "\n", "## Key steps\n", "- Pick variable types\n", "- Select training sample\n", "- Select method\n", "- Look at confusion matrix and details \n", "\n", "## Required dependencies\n", "\n", "See GROWTH school webpage for detailed instructions on how to install these modules and packages. Nominally, you should be able to install the python modules with `pip install `. The external astromatic packages are easiest installed using package managers (e.g., `rpm`, `apt-get`).\n", "\n", "### Python modules\n", "* python 3\n", "* astropy\n", "* numpy\n", "* astroquery\n", "* pandas\n", "* matplotlib\n", "* pydotplus\n", "* IPython.display\n", "* sklearn\n", "\n", "### External packages\n", "None\n", "\n", "### Partial Credits\n", "Pavlos Protopapas (LSSDS notebook)" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "# For inline plots\n", "%matplotlib inline\n", "\n", "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "\n", "import io\n", "import pydotplus\n", "from IPython.display import Image\n", "\n", "# Various scikit-learn modules\n", "from sklearn.model_selection import train_test_split\n", "from sklearn import tree\n", "from sklearn.metrics import confusion_matrix\n", "from sklearn.tree import DecisionTreeRegressor, DecisionTreeClassifier, export_graphviz\n", "from sklearn.model_selection import GridSearchCV\n", "from sklearn.ensemble import RandomForestClassifier" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Define datadir and files we will use" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "datadir = 'data'\n", "\n", "# for decision tree\n", "catalog = datadir + '/CatalinaVars.tbl.gz'\n", "lightcurves = datadir + '/CRTS_6varclasses.csv.gz'\n", "\n", "# for random forest\n", "featuresfile = datadir + '/cvs_and_blazars.dat'" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Read the light curves" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
IDMJDMagmagerrRADec
0110906502672553705.50192516.9437970.082004182.258719.76580
1110906502672553731.48331416.6451020.075203182.258679.76585
2110906502672553731.49140616.6937910.076497182.258709.76574
3110906502672553731.49946516.7936510.078755182.258699.76576
4110906502672553731.50752916.7678170.077436182.258789.76581
\n", "
" ], "text/plain": [ " ID MJD Mag magerr RA Dec\n", "0 1109065026725 53705.501925 16.943797 0.082004 182.25871 9.76580\n", "1 1109065026725 53731.483314 16.645102 0.075203 182.25867 9.76585\n", "2 1109065026725 53731.491406 16.693791 0.076497 182.25870 9.76574\n", "3 1109065026725 53731.499465 16.793651 0.078755 182.25869 9.76576\n", "4 1109065026725 53731.507529 16.767817 0.077436 182.25878 9.76581" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "lcs = pd.read_csv(lightcurves,\n", " compression='gzip',\n", " header=1,\n", " sep=',',\n", " skipinitialspace=True,\n", " nrows=100000)\n", " #skiprows=[4,5])\n", " #,nrows=100000)\n", "\n", "lcs.columns = ['ID', 'MJD', 'Mag', 'magerr', 'RA', 'Dec']\n", "lcs.head()\n" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "301" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(lcs.groupby('ID'))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Read catalog with class information for variables" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Catalina_Surveys_IDNumerical_IDRA_J2000DecV_magPeriod_daysAmplitudeNumber_ObsVar_Type
0CSS_J000020.4+103118110900104123200:00:20.41+10:31:18.914.621.4917582.392232
1CSS_J000031.5-084652100900104499700:00:31.50-08:46:52.314.140.4041850.121631
2CSS_J000036.9+412805114000106336600:00:36.94+41:28:05.717.390.2746270.731581
3CSS_J000037.5+390308113800106984900:00:37.55+39:03:08.117.740.306910.232191
4CSS_J000103.3+105724110900105073900:01:03.37+10:57:24.415.251.58375820.112238
\n", "
" ], "text/plain": [ " Catalina_Surveys_ID Numerical_ID RA_J2000 Dec V_mag \\\n", "0 CSS_J000020.4+103118 1109001041232 00:00:20.41 +10:31:18.9 14.62 \n", "1 CSS_J000031.5-084652 1009001044997 00:00:31.50 -08:46:52.3 14.14 \n", "2 CSS_J000036.9+412805 1140001063366 00:00:36.94 +41:28:05.7 17.39 \n", "3 CSS_J000037.5+390308 1138001069849 00:00:37.55 +39:03:08.1 17.74 \n", "4 CSS_J000103.3+105724 1109001050739 00:01:03.37 +10:57:24.4 15.25 \n", "\n", " Period_days Amplitude Number_Obs Var_Type \n", "0 1.491758 2.39 223 2 \n", "1 0.404185 0.12 163 1 \n", "2 0.274627 0.73 158 1 \n", "3 0.30691 0.23 219 1 \n", "4 1.5837582 0.11 223 8 " ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cat = pd.read_csv(catalog,\n", " compression='gzip',\n", " header=5,\n", " sep=' ',\n", " skipinitialspace=True,\n", " )\n", "\n", "columns = cat.columns[1:]\n", "cat = cat[cat.columns[:-1]]\n", "cat.columns = columns\n", "\n", "cat.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Get a subset of variable types, and with minimum length of light curves\n", "### The classes are from Drake et al. 2014 and Mahabal et al. 2017\n", "### 2: EA (detached binaries), 4: RRab, 5: RRc, 6:RRd, 8: RS CVn, 13: LPV" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Catalina_Surveys_IDNumerical_IDRA_J2000DecV_magPeriod_daysAmplitudeNumber_ObsVar_Type
0CSS_J000020.4+103118110900104123200:00:20.41+10:31:18.914.621.4917582.392232
4CSS_J000103.3+105724110900105073900:01:03.37+10:57:24.415.251.58375820.112238
8CSS_J000131.5+324913113200105201000:01:31.54+32:49:13.114.7113.0495490.171888
16CSS_J000216.1-165109101500100209100:02:16.16-16:51:09.716.070.304870.171245
23CSS_J000309.5+193816111800106063900:03:09.56+19:38:16.617.821.125820.592062
\n", "
" ], "text/plain": [ " Catalina_Surveys_ID Numerical_ID RA_J2000 Dec V_mag \\\n", "0 CSS_J000020.4+103118 1109001041232 00:00:20.41 +10:31:18.9 14.62 \n", "4 CSS_J000103.3+105724 1109001050739 00:01:03.37 +10:57:24.4 15.25 \n", "8 CSS_J000131.5+324913 1132001052010 00:01:31.54 +32:49:13.1 14.71 \n", "16 CSS_J000216.1-165109 1015001002091 00:02:16.16 -16:51:09.7 16.07 \n", "23 CSS_J000309.5+193816 1118001060639 00:03:09.56 +19:38:16.6 17.82 \n", "\n", " Period_days Amplitude Number_Obs Var_Type \n", "0 1.491758 2.39 223 2 \n", "4 1.5837582 0.11 223 8 \n", "8 13.049549 0.17 188 8 \n", "16 0.30487 0.17 124 5 \n", "23 1.12582 0.59 206 2 " ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "vars6 = cat[ cat['Var_Type'].isin([2,4,5,6,8,13]) & (cat['Number_Obs']>100) ]\n", "vars6.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Some visualizations - these are not particularly informative, but just representative that one can try at the start of an analysis." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(13876, 9)\n" ] }, { "data": { "text/plain": [ "(array([4614., 1683., 5148., 491., 0., 1474., 0., 0., 0.,\n", " 466.]),\n", " array([ 2. , 3.1, 4.2, 5.3, 6.4, 7.5, 8.6, 9.7, 10.8, 11.9, 13. ]),\n", " )" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "print(vars6.shape)\n", "plt.hist(vars6.Var_Type)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAD8CAYAAABn919SAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAIABJREFUeJztnXuQHFd9779nZnZXIomjsFYiOyAUEpILQYnWqFQM5CrrGIRNcKxEuVSI6kolO1rWL5AN2YpuiotS1LWw42AhbMwuWEKbOE5uIsrYThxhhNb2jRaDjAwyNm+C4tiK5XUUUwla7ePcP35zck6fOf2c7p7unt+nampePd2ne2Z+/evv73GElBIMwzBM+al1ewAMwzBMOrBBZxiGqQhs0BmGYSoCG3SGYZiKwAadYRimIrBBZxiGqQhs0BmGYSoCG3SGYZiKwAadYRimIjTy3Nj5558vV61alecmGYZhSs/jjz/+gpRyedhyuRr0VatW4dixY3lukmEYpvQIIX4QZTmWXBiGYSoCG3SGYZiKwAadYRimIrBBZxiGqQhs0BmGYSoCG3SGYZiKUA6DPj0N7N5N9wzDMIyTXPPQEzE9DVxyCXDuHNDfDxw+DDSb3R4VwzBM4Qj10IUQrxRCHBFCPC2E+LoQ4r2t118uhHhICPHt1v1PZTLCqSlgdhZYWKD7qalMNsMwDFN2okgu8wDeJ6V8LYA3ArhWCPE6AH8E4LCU8jUADreep8/gILC4SI8XF+k5wzAM00aoQZdSPiel/Err8Q8BPA3gZwFcAeBAa7EDADZmMsKZGUAIeiwEPWcYhmHaiBUUFUKsAjAE4DEAPyOlfA4gow/gp9MeHADyyKWkx1Kyh84wDONDZIMuhPhxAAcB7JBSvhTjcyNCiGNCiGOnT5+OP8Ljx4OfMwzDMAAiGnQhRB/ImN8tpfxM6+V/FUJc0Hr/AgDPuz4rpZyQUq6VUq5dvjy0+2M7Tz0V/JxhGIYBEC3LRQC4C8DTUsqPGG/dB2Br6/FWAJ9Nf3gAnngi+DnDMAwDIFoe+psB/E8AJ4QQypr+LwAfBvB/hRBXATgJ4H9kMsIf/jD4OcMwDAMggkGXUv4/AMLn7UvSHY5zAMHPGYZhGABlKf1nGIZhQmGDzjAMUxHYoDMMw1QENugMwzAVgQ06wzBMRWCDzjAMUxHYoDMMw1QENugMwzAVgQ06wzBMRWCDzjAMUxHYoDMMw1QENugMwzAVoZwGfXq62yNgGIYpHOU06FNT3R4BwzBM4SinQR8e7vYIGIZhCkc5DXqz2e0RMAzDFI5yGnTW0BmGYdoop0EfHmajzjAMY1FOg37uHDA52e1RMFVhehrYvZudBKb0RJkkmqkS09OUJTQ8zLEIgI7HJZeQk9DfDxw+zMeFKS3lNOh9fcCWLd0eRflg49XO1BQdj4UFup+a4mPClJZySi6/+Zv8p0uCy3j1OsPDdHKr1+meU2KZElNOD53xJ0hSUcZLeehsvOgYHT7MMhRTCcpp0F98sdsjKCZhkgobLzfNJh8LphKUU3J59FHOSHARRVJpNoGdO7MxYJwtwjBdpZweupQcvHLRTUmFA64M03XK6aEDwOBg+DJhHmPVPEolqXzoQ/kbVA64MkzXKaeHDgAzM8Hvh3mMVfUo/fTgrPPPyxBw5Rx8puKU16CHGYyw/OJeyj/O4+RV9IBrVU/gDGNQToMuRPifMcxjLINHmRZ5nbyKnC3SSydwpmcpp0FvRBh2mMdYdI8yTXrp5OUHHwOmBxBSytw2tnbtWnns2LF4HxLC/driYmeD6TU9tdf21wUfA6akCCEel1KuDV2ulAYdoNTFpJRNT2VDxDA9TVSDXk7JpVPKpKeW7eTDMEzXKG8eeieUqSET53czDBOR8nro09PJPdUyBUQ5mMcwTETKq6EPDABHjqRrjIuqVatxDQ5SQVVW4yvq/jNMj5Oahi6E2AfgHQCel1K+vvXaGgCfALAEwDyAa6SUX+psyDFJW/suslatxpHl+Iq8/wzDRCKKhv5pAJdar90C4E+klGsA/O/W83xpNICTJ9Prw1J0rTrr8RV9/xmGCSXUoEspHwFgNyCXAM5rPf5JAM+mPK5ghKDbJz9JXmUaRr3ogdKsx1f0/WcYJpSkQdEdAA4JIW4FnRTelN6QIiAlMD9PxUVpSS9FD5RmPb6i7z/TPTi2UhoiBUWFEKsAPGBo6HsBPCylPCiEeCeAESnlW3w+OwJgBABWrlz5hh/84AcxR+gTFG00yLCz3ssw2cGxlUIQNSiaNA99K4DPtB7/DYB1fgtKKSeklGullGuXL1+ecHMO3vQmYPt2/oExTJZwbKVUJDXozwL49dbj3wDw7XSGE4NHHwUOHMh9swzTU3BspVRESVu8B8AwgPOFEM8A+CCA7QA+KoRoADiLlqSSK1IWv2y/m7DuyaQBx1bSIaf/Y6hBl1K+y+etN6Q8lnjUatXyGNL8wln3ZNKkyH3uy0CO/8fy9nKp1YA9e6rxQ1Nf+Ac+kE4aJuueDFMccvw/ltegSxk+r2hZSPsLZ92TYYpDjv/H8jbnqpKhSrsBF+ueDFMccvw/lrc51+bNwF/8ReeDKgpVC2K69qdq+8gwOVH9CS6Kpgt3aqyqFHhyBYEADtQyTMaU16D7ee7doOxZJWl7zn4xgbLMEsUwJaW8Bj1HqSiUoCntuikzRNl2Ficjv5gAT9TBMJlSXoP+y7+sH3dbm/UzYEmMZVr7EnXbWcyv6hcE4kAtw2RKeQ36mTN0XwS5w8+AxTWWneyLfSKIuu2sprhzxQSqFCdgmAJSXoO+ZAndZ+FhJsFlrOIay6T74joRRN02pzgyTGUor0F/4QXg6quBoaHiarNxjWWYEfaTY1wngp07o2+bPWeGqQTlzUNXDAwAe/dmO3lynvgZ7SA5pgiyE8MwmVH9PHTFuXNkzHfu7PZI0sHPWw6SY1g2YRgGVTDoQgCDg90eRfaEyTFBskm3s4AYhsmF8hv0xUXg+uuB1aurbaySeuEsxzBMz1Debosmc3P5tAKYngZ2747f3jbp52yaTZKW4hjkIrTSTWv/GabIFOB3Xn4PHaCq0axll6Sebrc95KzyzF34NeTiKwSm6hTkd14ND10I4ODBbM+Mtqc7ORntbNxtD1lJNR/6ULY/MnOSjuFhSilVBr7bVwgMkzUF+Z1Xx0P//Odp4uisjJbp6dbrwP79wPx8+Nk4bQ85SYAzbp55km2YP+iFBWB8nCbx3rOnuHUCDJMWeV4JB1ANgw5QcDTLSlEzKHnyJPDJT5LhOnuWvHW/baaZUpjHZV3Sbagf9NmzdIJVk3jPzOSXUlnlbJ4q71sVKErqsJQyt9sb3vAGGRttHvxvfX1S1mpSNhpSjo/H30Zcjh6VcmBAb7+/n17LmptukrJep23W6/Q8bJw33RRvbHG3YW9vdJSOTb0u5dKl+RwXte2lS/Pfbh5Ued+YSAA4JiPY2PJr6I0GcMMNJIMsLgI7dmQfZW42gW3bdBXrwkI+mlmcuQmTTjzdyfyHzSZw553AkSP+mn1WmQAF0TAzocr7xqRK+SWXeh146SUy5lnLLiZbtpBGnKdmFueyLmmjrzQuHf00+ywlo4JomJlQ5X1jUqX8Bn1+nu7z/sF3SzOLGuCMawRsjTaL/TFPMrOzwK5ddEtjW0XRMLOgyvvGpEr5m3MtXarnrCzSD74IQayoY/CbAzTt8avtzM7S1VStRs3V0vLU4xzzInw/DBOR3mnOtWePt0lVEbAN5J493ekGGdXTduXYm3JSWgZXeZq7dlGaaZoSWZicYxpwoBBFIAyTNtUw6A8+CKxYQbp2Ef6YtrRw3XVkvLL0fv2I4ona8gzQ2aQhQdtsNsmgP/pouhJZUMzANvZbtxZjUhSGSZnyG/Snn6YbAOzbl++fc2KCKlQ3baLmYMqImQZSCDIcyhvNyvt1ETUIaWu0QLKA7/Q07d++fbTP9Tpw5ZXtJ9osNOGgmIFt7AEOMjLVJEpuY1q3zPLQ1U2IeHnTQYTlcI+Pt+fCqzzhsTEp162TcuNGWm7pUp0nv3Fj8jzvuHSaUx4nh13lSgvR/p3klTvtN2ZXHneSHP00x8QwMUDEPPTye+gmaTXpiuLZHjzofT43R/ezs8Att+jXL7uMZKHrriMP8cEHyXMFsvcOO0l3i5vporxgO8iuKkbzuHLyG7PfFUEechdr9UyOlL+wyKRWo+Bjp0Qp5Ni0yfu8r08bapODB2lMKk9+fp5kiCTNsuIW5eTVmAsgQ9lokMTU1wds3EgZLEkKlLIgSevhTuGCICZnquWhNxrkoe/eTfdJM0uieLYjI3RvauiTk8BTTwGPPKKXW7OmfX1JgrdJvb08J4BW3rkQwNgY3YqaGphH2iIXBDF5E0WXSeuWuYa+caPWqwG6T6rfJtWQ63W61Wpe/bhTLbUTPTwPijw++9jn2RtlfFzKDRvy6THEVBb0nIa+dCmlLp47R9IG0FmecxTP1vTyzMtrE7X9Ti/3i+7tFXV8riubpG0Rkmx7xw7axqOPVn+aRKbrVEdDv/56kjL6+0lLB+jSv9HIxrjYza8GB73bVtTr6Ww/TT08iwZZeer1cXAZ704akCXdtmp1wNPwMRlSHQ99agq4+WYyJpOTwKc+RX8kO+tCedWdaOxqe6ahUH2/zSpIISgAmpZxS0MPzzLzIk+9PiquK4e8eqOobatWB1lPwsL0PNUx6CdPkrFqNumPqpR11dq22WzvJaI8+Ntv10HOqPgZik2bgC98gZYZGKCrhjgkDdZF/VxeckNRCEpZDOtv06nBz7LVAcO4CBPZAewD8DyAJ63XrwfwTQBfB3BLFME+86DowIAOQLqCXmbgzrw1Gu5ilLAgpl+wrVajQqO4gbCkwbo4n8siIFi14pm0jxFPUMF0CFIMin4awO0AJtULQoiLAVwB4FeklLNCiJ9O8ySTmNlZHYB0eWXDw6Sb2oHLxcXg3h9BJfOAzi9W3q/y/uPmxId5z35eYxyvO225oYrFM+bxDJtiMArc/pbJiVCDLqV8RAixynr5agAfllLOtpZ5Pv2hJaBW0wEuv0tqIeimgpdSkjQS1PvDz0C6uipGyfTwM8xBmSJBhjNuhkmaWncVJBz7+1BFUioGs29f543fihhfYCpHUg39FwH8dyHE/wFwFsD7pZRfdi0ohBgBMAIAK1euTLi5lJiaokpNFSjdvh1YuTKeYbXX5wqMBnliQYY5yJMLMpxBn8u6gKao6YphmMHx97xHj//IETpO27YB4+PtcRiGKTJRdBkAq2Bo6ACeBLAXgACwDsD30ZosI+iWuYYOBBe0jI/rCaVNLdNV/GHqwnGaPoWRtAAnybaOHqUJrIXIdiLroOPTDW097Luzi8DM38/oaPsyHGtgugwiauhJDfo/ABg2nn8XwPKw9eRi0MfG3OsxA5aNhjbedtdEO5AZ9sfupKI0rqGIu63RUe++bdyYn0HpViDQ3O7AAJ3IgoLjdndIZdDVutI6XmUJjPJJp5BENehJC4vuBfAbACCE+EUA/QBeSLiudHniCbq3i2fMgKWUOmBpd020n4c1WFJNn4BoxTrNJmntl1zinW0pCnG3ZXP//boQKusCl241prK3OzfXPga7sEg1FVN9dhRKT5+a6vx4laFRl10sx0VQpSNUQxdC3ANgGMD5QohnAHwQlMq4TwjxJIBzALa2ziLdZ80at07t0nqnp4GXvcz7ebuLYhSNeGJCt8f1myPT1GzNcnAgXoHT9DQtOzdHXQ2DtN0tW4D9+/WkDiq7J2rwshP9vVvaurndRkNr4OYYXBN6+MUf0srgKUOsoQoB7l4nihuf1i0XyWXDBrpsdunUtraqLoEbDZqQwi9vPOgy9OhR+rzafq1G2/drBtVoeJuH1evhGre5fVtGMSUCv89u3Oj9TF9f+CV1GhJBUTX0qKTRcCytseRBWWShHgQ915xL8dBD+nIaoMeqpe7wsFeyUN5IvU79u/2qRVXKmZJxTE9uako3AwPo0n3fPsqmqdepCnVmpr06VQha3vSaXfnOtpf4trdFPxbKw372We/rQ0Phnlca3lq3UvVc2zUljqhXHX5XdVE/7/Lw1e+viHC+fOmpnkGXkuSIkRFKSTQlDvOyOe4lsN/l9/AwySyzs5Tb/o53APfdpye0uPZa4MYbtdGXErjhBmDZMuBLXwLuvTd4u1NT+mQwO0sdJQcGvL3Vw8arTh6Kq64KP455SAR59CQ3j0O9Tsdifj6ahOKSZuJIMGWUMDhfvtRUz6AD9MdVhSCmJ27+qeJ6I/afc3JSf9Zcz4kTZNAV8/P0Xq2mPfQnnqD+HsPDNCVdkHEeHPS2Ax4aouXCxm2OV12B/Od/UowgSt+aNL0103CrsfmdaNPGPA7mSTWqgTUNnN9vyY8y6OZMtYiiy6R1y0VDr9Xa88nT0AXN9fT3kw4thO4fYy7jGpPSyu2JN8J01Ztu8mruWeatZ4F93AYG6LGqB8h6Qgy/7Sc5Jkny+ouumzOlAD2roY+MaA90YoLSEK+/niSONDrnTU15pZLZWa19K2/QxtTY1XOz70yYl2dKOnEmwd66le47LVvvBD8PWUraH5UumJX3GpbRElf2UfKVLWMFbZ8lDCYnqmXQGw0tW0xMAO9+Nz3+3OeojBtoD2rGQf05f/u3va+fOkX3qvmXynUPYnExmnFWeesqLXLHDj3zjZ8xUrrx2bNkeM47Lz3JpJP0RVvD3rMneU/6OGOyjWrcJmwKs3WEktLYWDMFoloG/cYb9R/srru87330o8D3v5+OZrtihf9z5bk1Gjow6qJW83ZjtA2U+fz4cW1IzKIU2xgB9N7Jk8CPfkTPpQRuuQX4+Z+P3/Ndjctl9KIa1Kg532mMKS5xg5asiTMFp1oG/f77gZdeIi/9wgu97yljaFfqqQBdHE/RLNgxg5m2B+eHECSjqHRKO0B4/fXAbbfRWPv6vDMvqSn1XEHaAwfosT0NHkDSk8ughxlmczuqlSwQz6D6echJSSt7JEmXSk7rYwpMtQz600/Tbf9+YO9e4IEHyLA2GmQwTaM5OAhcfDE9V3ruwECwDDA9rQ3a3r3ty5ltV202bwZOn6ZK1mXLgDNntIyierQrbf3WW7Vnb2ryQlAXQLU90xipZU2t2sSugFX742eYzcpWu5Wsua0kBrXTdMW0POUkBpo1cabIRImcpnXLJcvFrKC0uygGVVyqLJJGw50FcfQoZUioZet1d2Xp6Gh7wyc7O2V8XGd42NttNLyfV9kZfmNyVb6qplRC0Lr9Gpb5ZdDYGTIbN+ox1eu0j34ZNGFZHeo42hlCceHsEaaHQM9muSgmJrTne+QIvTYyor0r5Wmb2J7yrl10c2WwLCyQh716NT1XXt6WLSR9qGIg5fkrL3J6GrjmGq8XbVaUKvlFZbXceCPJSKdOtWv3trcYV6u2c9xVkNaWNFasAJYs8UpMrlz4KNr25CTtG+DNEIpLlT3lPAqumEpSDYNeq2mNWd2bAUlVsamyQwAySPv2UVVpo0HVk0ND2pjas7Sry3xljAAyeKZ2rYzYnj2kWSt5xfxjTk56JRkh2iepXr3aW3xjnhwOHAieEi+KVq0MxsmTuuDJDNLaDa4AtxTlKq9PKsWwESOqOKUfkx9R3Pi0bplKLuvX6wksghp3mcU84+PuyQ82bHAXvahGV/W6Lg6yG4EFyRFStks969f777trUutOi3CC+oWbx0PJUv397T3ko6zbr3DHVZxTlCKoTkhLAkqjIRhTOZDmBBdp3TI16EKQwRkf1x0NbWOo/iSmQfYzOlEntbCX9ev0aH7WPOk0GvQZcxtK+x8b05NyqH3sdOYh22CozpDj4+37bGrscbo02p0mXSdN87WyG7E0T0h2Zav928gLjlEUit4z6MoYHD2qDeL69cHLB5XSx/lBBxl41+ddgVMVILRnUBobo+VdrQaS4Dc+V4DU1Ro4jrGNaujK7qGnfUJSV0edtCnodPtl/j4qSFSDXg0NXbGwQEU0hw65S/BtajX/lLc4Qbeg4KRrHUNDFAg1c9VVgPArX/EuOzVFjbVU9WmnFYqq8vTgQUplVOtxBUibTeCOO7yTd8RJEYyqqbuKjzqp6M2btAuOVBB+fr47nRrL2CWSAVCVoKjJs8/qH2OtpoN+Jqon+e23J/uhdhLAm56mQKfqvCitFgF2QdSFF6ZrMNT21YxJKlA8M+MOkI6M6CBt3P2NM24zaLxvn55lqAxBwSwKjrpZlcoVseUlihuf1i1zyaW/v10LNnOow3LIoxBFXw9637w8d81YZGrspmadddDNDpaqPP5Otxk225MtVdk5+K4YRK9ou93c1146ziUAPSm5vP3t5E3al++HDuneJgB5f8ePx1u3meoXdDkadrmqqkmVh/6+97WnNj78cLu3l1betZ/3pbxM5SFPTHjz6JN6yuozqtWCX8761q26ahdwd2EMS+mLe+VU9FTJbubaVznPv8pEsfpp3TL30IVwe8VjY+3LBqUL2sTpqR3modtVop1mrSQhyPtKO1UyKAjrl+6prhCCrm7sMcUN5HHgjykR6EkPXUrdQMr0Lp54on3Zs2ejr3dqShf3SOmd3s72PP2CjgB5hNdd59X05+byDzoFeV9mAZXy0FXvmySBSr8rFvtKwa/61DU2l7YbN5DnWl69XlSPnWFCqJZBB8jg7tvnndRh+fL25aLMq6k4c6Z9GrjVq/3byrqCjgAZC7txV19fsYJOZoBPdaHsZLq4MInHJS1FGZttdOMG8uzlBwezqdAsuqwTlarsR9WJ4sandctUchkc9DaQUpfjdl73ihXxAqJ+udjm5b8QJBFIGU0WqNXotn59OS71O82zTjvAZjddS7odc/ksipuqIutUZT9KDHpOcnnxRd073JQI/vzPvcs1GrqhVhQmJ7354vW69v5UMy8pqWXvli3BnqKSY669ljz9L35RNwkrstfTaRpbmgE2eyYqQPfBibsde/m0U/Wqks9dlf3oBaJY/bRumQdFX/EKSlMcH9f9QuyURSB6y1fVd8Qv3dGs+LSvClwepJTtQUe/QG7R0saKMp4NG7zf5YYN4Z+JOva097Eqnm1V9qPEoCdL/80MFjv7xS9rI+jH6ierKOzPjo+Hl2yrzwSNRzXF4j9QO7aElkbDsLSx8+uLcCLslKrsR0mJatCrIbnYFZff+573/SuuoJ7e+/frCYrNnuF+l5OuTAwTO4C4Ywdlz6ixuC5PlexyzTXeAOngoHdy56B19DJKXlFZRGHzpOYtF7hy5XfuzG57eeFXT8AUimoYdNOYA8Cv/zpw9936+WWXeXXzoSH9wwzTvMNKupUOu3t3eGGMwpwcGiA9fceOaMU1cQjLTMgrcyHt7YyM+Btye1t5l7FXVW/mPu2loBoGXbF8OfDmNwM/8RNer/3BB3XaXb1O7ylP/fBhXSGpsI1ClB+uaTjqdeDKK72pk65llScupW4mZk4ssW2b/zpcmOMG/NMqzSuKsD9op8Y4T0Pgt62gk3LaJ5uq9kGp6omqYlTLoJ8+Ddx3HxlU02u/7z66X1ykH6Qy9uqHOTgIfOpT9P7+/fSeX3MoPwMQZDhsQzs5CbztbfT47/9ebytKcY0f09N60uv+fjoZuApnlMETQs/q5PcHjWuMXccmT0Pgty2/k3IWJ5uyd470o6onqopRLYMOeKeeM1+r1/VzKb0VkNddp1MTZ2fbDb5f/xHbACjDMT2t/8QA3c/N6auDuTl6fWAA+NjH3FO72esIM/L2XJ2nTrX/AU2DV6vp8fj9QW0DOTkZ7Om6jk2ehmBwkPZHfbdh28rqZGP+DqoiU2TRUZJJneoZdBeNBvD613tbAKxdS8FJu3qzXtf55WHl5S4DNzGh88wHBsgTV3KKmc8O0OszM+1BM9MQNBrBVwx+rFjh/gOaxtWcJxSgE4iqDh0eplu9rlsABLW1DfKO8zAEZlvieh24/vrwAJ6rWjRNb7pqMgU37Co+UVJh0rplnrb4qle5887VlHPmaxs30vrN6s2+PkqD80s7C2vSZU8vV6tJuW6dd7vmOPxmH3I1yAqrYFQ582HT1Lly5M1joMao0jAHBmid5jH0a2vbzVxluy1xoxFtLOr7dU3B1yndPiZMZUBPpS0qfumXgOeea5+tyO6fYhLUU8R1yayWPXkS+OQn2zVqc1u1GvWM+epX9Tr27tWte4OCpuoqwVxXkIzQbNIYgiQRc/IIs8+M8iTNfjXnzgF33aWzbpRM5SfRdPuS3PS2azXax6D4gMLOUkrTm+72MWF6jmoZ9M99Dli/HnjkEe/rjYZXuwYo82ViQjefcuG6ZN65Uxv7Awe82vCJE2RMpKRt3nADrX/vXq+0YWvmNs0m9Xa/9179mpKIwppXBQX//PLbXR0W63U68ajlGw233h9l+3ngqgmIo9tnpfWzTMHkSLUMOgC88IL3+fr1wIc/TI937AC+9CV6PDen58r0m8ghTo66Wv/iIhm/d74TuO02PRfn4cO0jJmJcuSIN5UwyMhfeGFyw6BOTH757a4Oi+oKRC1/5ZV6KrqkZJ33bhrPuNPmsTfNVIEwTQbAPgDPA3jS8d77AUgA50fRd3Ip/X/ta7WObs9Sb2qajUa7rt7JlGe2hmuuW41jdLRdx/fTWV3LJi29dk0vF3cCiCgac9h0c6wnM0wikKKG/mkAtwOYNF8UQrwSwFsBnEzt7JIG3/iG1nvtWepdl+VKZgDIs3Zpw3ELi2o1d4fGyUnvZ+6/n7JR1BhmZ7UMsmUL5cSrTJcHH6Tlk6S/JfE+7c+EZWyEpeiVPeMjjQIr9v6ZjAk16FLKR4QQqxxv3QZgDMBnUx5TZyhj/pa3ALt20WtmKpp9WT45SUVFqg1uUuyTxXXXkaxTqwG33663qQKpaqynTnmDkWfO6PEeOeIOwKp0STPF0M9ImIYkbk8R+2QWpDGHGewyF6Z0mk+edj46nxwYHxJp6EKI3wLwL1LKrwohUh5ShwhBnrky5vYfCfAaQ0ALGwsLnXmOygBOTOgA7OIiedeql8zll5OnLSWNU41ZnYg+8hF6rMa7c6c3ANtoUKbK/Hz4JM5pGpIwLz/MYJdZo+706iLNq5O953sdAAAcsklEQVQqFSsxqRPboAshXgbgjwFsiLj8CIARAFi5cmXczUVjzRrg618nI9do6GwQMxVtdpZSCL/1rfZCIiHoPi3P8eBB7/N776USf9VDplajBmHDw8BHP+oNVrrK8U1jePIknTDsFEOXkUhb5giTn7ZupXu/dMy8Mj6K1p8lzauTsktXTKYk8dB/HsDPAVDe+SsAfEUIsU5KecpeWEo5AWACANauXduBpuFDrQacd572iBcWtOdtp+M9/XT751UZ/Nq1ZPD90v6C8rvt9zZt0rPpKObmtOFeWAC+/GVKC1QnFyHIez90SLcfUC11TcnENOYKU/s3l0/DkEQxjrbXuGVLZ0a1089m3Z8l7vrSvDops3TFZE+UyCmAVXBkubTe+ycUKcvFnvTg6NH2ak3XLWjmIDs7w6+6cHxcZ3mMj9N2Xdk0ZvaLXdE4Pk7VprUaZaTYE13cdFP7+lRlaNBYO82OCcpMsefjHB1NntHSaTZMFnODFg2ebKLnQFpZLkKIewAMAzhfCPEMgA9KKe/K6PySDma/8WYTuOginX/uh3Q04wLc/VuUnm1KJLOz1MPF1L8fe4w8xl27gIce8gZdazWaA/WyyyjTRckUU1Ne2cUe2/AwaeZmkZDS/gH/QqgkRL28t71G1ziijqFTSaEXPNgspSsOuJaaKFku7wp5f1Vqo0mDer29ydLQEBlQU6qo14H3vQ946SVv0ynbAAQZK7NjoUpVlNKbfthskkE/fNir3S9dSkZZpSKq2ZDM7dmNudT+qP7trnHHNWauP7DZMz3K+uwMn+PHaexqPHGMaqcGuczB127DAdfSU71K0csv95Z979lDz03vWAhg+3bg5pvpeVAPcldFqFnyrzoWnjkD3HILvb+46G0n0GzSuMxS/v/4D/3Y7txob88emzpRuMYdx5i5/sCA9zWzI2NY2wH1WRUDuPxyYGws+5x5c3+SpmgyHHCtANUy6EuXknxhZrb86Z/SvWnQpSSv3YVqYgVoGcS+xHUZnN279VVArdY+zdzYGKUvqp7lJvW6d75Tex7KsMZSYa+Z+2aO2/UHBryvudr7+jE15S3UeuAB2u+4JJEU2LvsnF6QqypOdQz6qlXApZeSoTYzW77zHXrfnJLONLh27/GFBV3luX+/7rdi4jI4g4O0XkBXqNozFW3bBjz1lLd52MaNdBJShUOzsyTR7NqVrkFyGTzXH9hsMJZELlH90wG6z8vLY++yc1iuKj9RIqdp3TLNcqnXvdkmr3qV9/0LLvA+Hxuj9ZtZEXYvdSGiZUn49VQ3+6eY2SpjY96e5H79yNPMYvDL/nD1e1fZN2a2UFTGx3VmT549W6L2g2eYEoKe6oeuPEqVGXL8OBXgmJiaNUAVmRs3tgchTQ89yENV0sypU8Czz+orAiHI+zc9RuWxqmyVZcso31yhPKNdu4DPfz5aH++4+F1Om1cbV1+ts2fUfsRlZMS/02HWGRSqarlo1csMkxPVMOi/9mvAF7+oMz5OnWrvy/LSS97nSg7YubM9CGlr6DZqQmZbD6/V3BknrmwVG5UN8/DD+jNpaphhl9PT03qCbEA3FLOXiWKQXZJU1hr31JTOMpqfL7bkwqmBTEZUw6A/8gjp1tu3kxG2uxqaCEG3RoNy06++mj6jeqZMTekUQhUk9Cupt1HVpq5slRMnqCXApk3Bf2JlUO0TUhoEBRuVQQTo+KxZ432/U4OctcYdNaDXbWPKwVsmS6LoMmndMtfQTV3YnNvT7is+Oup9v7/fW/XpqtA0OXrUPefn+vW6ytP83NGjem5Oex5RU8OOW+WYZsVgmI7faQVmGvp8lG0EHY8i9GTvhUpWJnUQUUOvdfuEkhq2LnzVVe3L1OuURrdypbdf+dwcec+mBzk3157Opzhxon2e0r4+4B//kT63uEhatLpSmJzUqZOzs/p15a194AN0rwp5ojQKsz87Pe19b/du6vuye7f3PT+UJPOWt+j0S3PflQectIlZs0k57SoLZseOaOOKu42gyli/NM086fQ4MkwA1ZBcXvc6mmruxAl9Ob1lC1VSKmmkXgc+/nH9Z1epjQAZ402baOLkKJq33U3xF36BDOHEhH5NStq+km9c2AZmZiZ62pifhKEMvTk/qF97XRul46vjYJ8k9+yJJhv5MTPj7iaZF0XIs+bUQCZDqmHQv/ENyu8GSP9dskT/aVwBzmaT8svt98zsDMD7pzO1V7ub4h/+IX32wAHgRz/Sry8s6G309dFVQV+fu8zfLO2P8if3M052cU9c42mX8Ssv9sQJPQfro4/S/sY1Rt02qEUxpnm1EWZ6jyi6TFq33Lot1mqkkwfNbxlHe3Zpr+Pj3lxytdzoKOnkthbfaFD3RVs7jjoW13Ku18bHvcfCr4tknH1W+2AeX1cee9T1cqdAhokFImro1TToKviojJE5KbJfYCzI0IyO6qIjO5CljLi9DTUptB08VYVHNnEmWDbb9NqY7XVrNTrpBJ0E/LYbVHDV1+ffrrdM8MmFKQm9bdDXr/caUtNLdWUZBBkmVYGo1mVmqdjZNMrQ+X3W9HBtzz7IMJpjNnuo2yersHW5TgxRlu3vp/22M1SiZmwU0XCW/WTE9BRRDXr5NfR6nfLPzzsPeOIJ0rdXr6bAoKp6lNLbT9zWcU3d2Wx9C9Bjc1ahbdv0e5OTeqYkgB6/852UeTIyQstdeSUwPu7NK19cpPx3gJabnNRjNbMv1HjNMddquvp0YYHWfeCADnr6aeB2M64f/Yimv/PLDXd1mbS15yiauF/etV8+eNZ54mr9J09y7xemcpTfoG/fDtx5Z/vrqme42cXQ7CduGo0TJ7xBRLP1rW20grJWAOCZZ4B3v5sej4xQs7BGQ1cxKhYXgWuuocf79un3Gg3avm0ETSO9Y4f7ZGUaY8DdjEudEAAKJPf10WOXQbaDd2Gthe1+6upk6UoV9DPyWRbdmOuv15P3bGeYglJug666G05P+3dEdPUMtw3VzIx/69sgowWQYbBz0gFK71u9Grj+evLc63Xg934P+Mu/1MZ7YQG46y7vFcCv/ir1orGvGMz86tWrqff6/ffTupRBCjOkO3fSCcacvWloSPe0SWI87WNpG+U9e9xXRC7vOOtqUnP9ADkDK1dy+iBTGcpt0Ot1ajtrSg42UVLEhocpV9uWDvwmTJieptfm5sjLu/xy4MUXvW1xN22iKwSVB7+wQA3CzDa+AHDhhXSFoAz4sWPAV77if8WgOHSI1lOvk9EEwg3p9DRtz+Sqq+hKwt7fpAYuam69S6qJk9ZotyaOMm7X1Va3DXm3WxEw1SKK0J7WLdWg6KpV6ZZQu7I//IJmo6Pesaxb505ldC1ntytQ2SIbNrRnk9gpgub27awbv2Cv3Rq3XqfgrUqh9JvwOmmQMGqw0S9QGiWAGtSaOGzcrnTTbsGBWSYiqHyWy8tfrlMTs/gzBGVw2IbaL9fb7uGyebP3c5s362Xt/HGzv3uUrJs4mTKu7B7Vg8bvhBCHsBTMTjNe7JRKv5RS17aLZEC5rwsTkagGvbySy4sv0mWz6rDYyeWq67I36PJ/yxbSvlWGiyswCeiKVLXuXbu82z19Wj+emWmXY1z7ZmbdAKS5K7Zu1eOzj8fwMMlDKk5w8qSWhBYWaLu1Go2hv98dmI16jP1krrSCnnYPeymDWxMrstbo49LtylmmcpTXoAOUObJyZefG3GVkwsrElfFThtDvD2katzVrvC0DzBa1avo21TRMSve+KSNgau4XX0yPVTaPXyaOOlnMzVHfmUZDZ3rU68Db307T4alAcprGb3qaTmhq3J2sM0pKpYuiGdCitCJgKkO5DfriInDmDHUUTPqHCDJcfp7m1JROQ6zVqDHXpk3t/dNtz3/ZMn0SEIKeK5pN4I47dL8UNS+pjTIC9uxGylirbo6uHu7KEwd0Hvv27fR8/37KmlEnBHWCUTnvZ86498nvNRNXw7BODWpYSqXfZ8wGY0Bnv5004L4uTIqU26ADwG23kZFIegmfxGuzP7NpE/Ce9+jnR47Qcubk09u2UYrgkiX+2wqavs2k2aRtqu0I0Z46aRtZ27NXRnVoiAycavtrFmCZU+fdcgs9/tjHvFcz5n76fQdm4ZYQwKtfTQ3N8jRkasrAffvoWE1N0VjUVQ1PNMFUgHIbdNODTHoJn+Sy167GvOsu3YpXecgrV2rPX1V0LllCeemqotWvQtJMkXQxPU3FRQsLZJhvvJE8z7k5KhQaGnIbWXPMMzO6SMk28oODdAVg9owHgM98xl0kFCbNDA56Tw7f/S5tN0nHxiSoKwRVjAW0z/PabT2dYVKgvAZ9/Xpg82YyDJ1qokkue81qTLNlrkJ5xGZF5+ysvqIwW9DGLY9XMpHyeJcto9eCiorUPprr2b1br6dWoyn0LryQrjbMlgaK3/kdr4eujnfYFY5ZuAXkb0TV8VDGXAg68Zkeul/bAta3mRJRXoN+6aXRJYqsUIbCxCxYUe0H1GW+kkbsK4o45fFAtD7qUWQkcz31OvDVrwJf/rI2fLWant3p938fuPlmqiq1j3fYFY4q3EpTQ4+DnRWzbZt33ljXuHnuT6aElNegqyBdN4NKpqEQArjoIqq8tIOqSqdes0ZLI4CuAPVrGKaM/OwsSSC7dkXLwIkqI5nLnTxJVbemF9toAM89Rwb9Yx8jY+463mHfgUvuyfMEHHQ8/MaQRYoje/xM1kRJVk/rlmph0fLl3S8MkbJ9UougNrSNhi7eAahAyK8vedikza4x2K10zffDeqDb7XLV+szt24UvVZ7cIu0ipKIVNTGlApWvFAW6/8cwJ7LwM3xmNaDrNjoavP4NG4IrOIP6tat1RO2BbpfF29WrnbQKKKNBS/MExFWhTAdENejllVyA7mYnmBqrGfDza79rZliY3HUXSTIuGaLZbJ+02a7g3LrVG8A089BdxTwHD/pPLq0yXr7wBVqX3YXy+HEdhBYi3oTPRavSjEKacl7RipqYSlLr9gASk3dgzcY0UPPzZODUuFztd6+4Qrf7NZmbo2KiD3yADLVqy2t//kMfovuZGa9hBHRPc8X+/VQJeskluvhIHa9Nm+i+XvefXHp+nsY0OEjBzFqNbqdOeVMx1f5G+R6UQbO32yvY32PRT2ZMKSm+h64mh7BRbWOLEBCN0k/k0CHtxZuo1LmgVL6gDJYtW+i2Y4fOUJmfJ89fXRWY1awzM3Tc7CuC4WHvlcbCgl5WVa8++CAddyn1clG/By5z56pQJnOKb9DN/iYmi4teTzhv4vQTcaU3AtqrD+sHY2dHuAzjnj1eCejYMS3x9PW5q1nt0v0bb6Q8ebP1wNSUllbm56lVwPe+pz1/KaN/D2zQGCZTim/QXbMBAWTou33Z7tdPxJ58wZwhyMTM9167ltIebYKah9ljOXyYSvTvu897NbBtm54FCWjX2c3133679t4BSmc0p2pT+dumrm9/D3mk50XpH9PLVwNMbxIlcprWLVGWi1+GyMaN8deVNSp9UE240N9PfcbNySrqderfrfqd12q0nF/ao5kdUatRFkrQpBGNRvuxGh+n4+U6fjfd5M7QMdMm63Va3s6e8Zugws6qSTtVUWX2COFN/fQbQxkyahgmAETMcilvUHTFim6PwIvydMfHdeBwbs6bgbK4SNPVvfvdWnev1aht7fx8e6UooLV6pW9//vPu4CnQ3isdIFlnZqb9eKnnZp8Vs3vl5KQOki4sAH/3d9599fN+JydJu19YoPtrrvEP+CZF9XFXcYfJSe/7fpW3DFNxQiUXIcQ+AO8A8LyU8vWt1/4UwOUAzgH4LoBtUsozWQ60jaGhXDcXisoSUTKK6hcipdeoP/ggSSDz87oXy4oV/iltfu1yzXRDZVwHB9tTI8317d/vDaYC7RNr3Hor3ddq3nWpDoWAf9+ZyUkKxqrPqUAxoCe7zkP+4BRBpkeJ4qF/GsCl1msPAXi9lPJXAHwLQEh7wA5wZYYA1LUwLY8vDUxPF6A0xakp4OGHgXXr9OsqwGum8G3ZEpzSpvLRBwa8aX/qqkB5wMeP60CrYts2up+aAt77XuCtbwX27tXbsE8CZgDU1Pj7+vQsR7OzuiXB1JSeNPsTn3A39VLrdU12nYQtW+hYCEH39oQenCLI9CihHrqU8hEhxCrrNWPaHXwRwO+mOywDvyyXubliFaccP+59vmKFOwPFTDW0ZYuo/VDUZ1S3RDMnvdHQRrVeB847r31yCbPToz1uGxWwfeIJ6vWiCooAbaSVBBKEkn7CiBLMbDa9U/u5luOMGqYHSSPL5UoAf53CetxcdJE7S6RWK8+ltNl50XwtScteJW/s3k3GtL+fjLUQZLxND31xUachmkbY1JX37WvfjhC6CKq/n76Dxx/XHSNNXCeEZct08zRFoxH+fcXpcMgGm2Ha6CgoKoT4YwDzAO4OWGZECHFMCHHstDkpclTMadpMPv7xYv2hw2QAADhwgLzcqAFCZbjNZU2ZZccO6lEOkLH9sz/zSh5Kw1aVnoA3331qyn31A5AB3r6dri6eekqfEOxq1098AvjhD2mfFbYxr9UoHTLs++JgJsN0RGIPXQixFRQsvaSVVuNESjkBYAIA1q5d67ucL5s2eSdWVqxeHXtVqeAnCYTJAHF7mfh5q3Zb3Xvu8VZ3mtRqZGhVZairda1ZHQroAKky9Nde6zX6rpjG3XcDY2Mkyzz0kFeTr9WAO++k3vV++6mOWdJg5sSEnifUbzu9Dufl9wZRchsBrALwpPH8UgBPAVge5fPqligP/ehRdx56N7rVufKbo3bki5sb7dedz27HK4T7+AD0vuqc6Mf4OOXK12qUC69y6Jcubc9dVzdXbYDKjzc7P9brwdvv5Hia47dz7hkvnJdfepBWt0UhxD0AhgGcL4R4BsAHQVktAwAeEqSpflFKOZr+6QbtOcaKbujntpc9OUkyitKwL7+cPFW/IJ3dKiBoxnk/b9WeLEJ1SATaveewsvzpaXpfVYcODmpNfGiIvHObvj5a/tZbgW9/W7+u5kidmtLfmZq5yQ+zIZjKmNm5M54HefBg+3P20r2UsdMlk4woVj+tWyIPff36dm9wzZr460kD29Mx+6C7Jq0IW0+tFuxFh3mr4+NSrltHnrQ9FiGCvTF7X8bG9AQcLu98yRI67qOjtKz53ubN0Y+hPf5OvWv20MNhD730oDL90M+ebX/tjW/MZ9u27mhmq5w6RTc762Nujt4P0itNz3RxkboZmhNG29t0MTFBFaeKsTE9b2fY1YIag6nF33qr9vBnZ4Fnn/Uuf/YsaeRf+1r7upIEu4H2futJmq0pb7wsGno3tGzudNk7RLH6ad0SeeibN7d76Hl4YX5ejUsnNj3jRsO/L4u5brPniuqhEseT2rChXcNWergQdB9Vv7a1eHXVMDDg1tDtq5KxsXSPcacUdao79pSZhKAyvVxcec7XXJN9lahfCt3UVHt/lpERYHSUbn/wB/S+WUlp02wCd9xBenStRimCqgozLG1PpTKuWeN9XfU6X1jQ7QauvdZ9nJSXuGcPVVPecQewZImuCL3jDtqnI0don1Q6JqAnj67X9fr27En2fWRR0WlXzxapmpjTMpmMKb7kIh2ZjgsLuv1rVvgFJYeHyeipykhV+anGMjHhPx2dzdAQGdLHHqP89Hrd26rWDPyqXin791MaYX+/ThVUUsP0NK3D3L4dAJuY0BNWDAxoQ7p6tbtytdmkcV53HW230aBmYp/9rF5nkqpdU3rYmWLniDQDgGnLI9xjhsmY4hv0iy4Cnn46/+26qjvV60GZHC5d2DYMtv5tNsfavh1YudJrRJTXac5Leu4cFV0dOuQd2+23k2e+uKj7r0xPa33ezCs3G2YF6fUzM3oyi8VF3UxMZdf09cUzTtPTwMUXuyfbSIo6xqp6ttNe7XGqVqPCWjaTNVF0mbRuiTT0devaNdx6PR/9MYnm6eoHbq/D1r9Vz3G/bZg56VEzWMy+7GpZs/c5QDp7kn1S+eKjo3SL+12Mjnr3f3Q03ufDxufXgz3O9+lXB8AwXQCVyXK58ELvcyHyK/tPcvlue2GuddjVr+9/P3nbUXLS63XgyiuDc7zVVYSazFltd3hYZ8JELcd37VOUZmJ5Yh/jmRm3jBPn+2R5hCkjUax+WrfElaJq1p9aLd884zSyEvzWMT6uM1OiridO5kZQlk63M0DCZhxKsr4o31Pc77MIx4phZHQPXUhX0DEj1q5dK48dOxb/g93sQ5HGtrs1/iL370h7bHG08aIeE4bxQQjxuJRybehypTDoDMMwPUxUg178PHSGYRgmEmzQGYZhKgIbdIZhmIrABp1hGKYisEFnGIapCGzQGYZhKkKuaYtCiNMAfpDw4+cDeCHF4VQBPibt8DFxw8elnTIdk1dJKZeHLZSrQe8EIcSxKHmYvQQfk3b4mLjh49JOFY8JSy4MwzAVgQ06wzBMRSiTQZ/o9gAKCB+TdviYuOHj0k7ljklpNHSGYRgmmDJ56AzDMEwApTDoQohLhRDfFEJ8RwjxR90eT14IIV4phDgihHhaCPF1IcR7W6+/XAjxkBDi2637n2q9LoQQe1vH6WtCiIu6uwfZIYSoCyGOCyEeaD3/OSHEY61j8tdCiP7W6wOt599pvb+qm+POCiHEMiHE3wohvtH6vTR7/XcihLih9b95UghxjxBiSdV/J4U36EKIOoA7AFwG4HUA3iWEeF13R5Ub8wDeJ6V8LYA3Ari2te9/BOCwlPI1AA63ngN0jF7Tuo0AuDP/IefGewGYk83eDOC21jH5NwBXtV6/CsC/SSl/AcBtreWqyEcB/IOU8r8B+FXQsenZ34kQ4mcBvAfAWinl6wHUAfweqv47iTILRjdvAJoADhnPdwLY2e1xdelYfBbAWwF8E8AFrdcuAPDN1uNxAO8ylv+v5ap0A/AKkIH6DQAPABCgApGG/ZsBcAhAs/W40VpOdHsfUj4e5wH4vr1fvfw7AfCzAP4ZwMtb3/sDAN5W9d9J4T106C9G8UzrtZ6idQk4BOAxAD8jpXwOAFr3P91arFeO1R4AYwAWW88HAZyRUs63npv7/V/HpPX+v7eWrxKvBnAawP6WDPUpIcSPoYd/J1LKfwFwK4CTAJ4Dfe+Po+K/kzIYdOF4radSc4QQPw7gIIAdUsqXghZ1vFapYyWEeAeA56WUj5svOxaVEd6rCg0AFwG4U0o5BOA/oOUVF5U/Jq14wRUAfg7AhQB+DCQ12VTqd1IGg/4MgFcaz18B4NkujSV3hBB9IGN+t5TyM62X/1UIcUHr/QsAPN96vReO1ZsB/JYQ4p8A/BVIdtkDYJkQotFaxtzv/zomrfd/EsCLeQ44B54B8IyU8rHW878FGfhe/p28BcD3pZSnpZRzAD4D4E2o+O+kDAb9ywBe04pO94MCG/d1eUy5IIQQAO4C8LSU8iPGW/cB2Np6vBWkravXt7SyGN4I4N/VJXdVkFLulFK+Qkq5CvRb+IKUcjOAIwB+t7WYfUzUsfrd1vKl87yCkFKeAvDPQohfar10CYCn0MO/E5DU8kYhxMta/yN1TKr9O+m2iB8xwPF2AN8C8F0Af9zt8eS4378Guuz7GoAnWre3g7S9wwC+3bp/eWt5AcoI+i6AE6AIf9f3I8PjMwzggdbjVwP4EoDvAPgbAAOt15e0nn+n9f6ruz3ujI7FGgDHWr+VewH8VK//TgD8CYBvAHgSwJ8DGKj674QrRRmGYSpCGSQXhmEYJgJs0BmGYSoCG3SGYZiKwAadYRimIrBBZxiGqQhs0BmGYSoCG3SGYZiKwAadYRimIvx/pAirdVxs6FwAAAAASUVORK5CYII=\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.plot(pd.to_numeric(vars6.Period_days).values, pd.to_numeric(vars6.V_mag).values, 'r.')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Pick two classes" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Catalina_Surveys_IDNumerical_IDRA_J2000DecV_magPeriod_daysAmplitudeNumber_ObsVar_Type
115CSS_J001420.8+031214110400200740900:14:20.84+03:12:14.017.450.38711000.561746
174CSS_J001616.0-173612101800204142900:16:16.00-17:36:12.413.87215.5641.1711113
198CSS_J001724.9+200542112100200772600:17:24.90+20:05:42.216.640.35712910.392246
214CSS_J001812.9+210201112100202761000:18:12.97+21:02:01.514.540.416160.342246
328CSS_J002230.8-183246101800202454000:22:30.83-18:32:46.111.72201.287181.2611113
\n", "
" ], "text/plain": [ " Catalina_Surveys_ID Numerical_ID RA_J2000 Dec V_mag \\\n", "115 CSS_J001420.8+031214 1104002007409 00:14:20.84 +03:12:14.0 17.45 \n", "174 CSS_J001616.0-173612 1018002041429 00:16:16.00 -17:36:12.4 13.87 \n", "198 CSS_J001724.9+200542 1121002007726 00:17:24.90 +20:05:42.2 16.64 \n", "214 CSS_J001812.9+210201 1121002027610 00:18:12.97 +21:02:01.5 14.54 \n", "328 CSS_J002230.8-183246 1018002024540 00:22:30.83 -18:32:46.1 11.72 \n", "\n", " Period_days Amplitude Number_Obs Var_Type \n", "115 0.3871100 0.56 174 6 \n", "174 215.564 1.17 111 13 \n", "198 0.3571291 0.39 224 6 \n", "214 0.41616 0.34 224 6 \n", "328 201.28718 1.26 111 13 " ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "vars2 = vars6[ vars6['Var_Type'].isin([6,13]) ]\n", "vars2.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Create a 'target' column with 0|1 for the two classes" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/chummels/src/yt-conda/lib/python3.6/site-packages/ipykernel_launcher.py:3: FutureWarning: Method .as_matrix will be removed in a future version. Use .values instead.\n", " This is separate from the ipykernel package so we can avoid doing imports until\n" ] } ], "source": [ "Y = vars2['Var_Type'].values\n", "Y = np.array([1 if y==6 else 0 for y in Y])\n", "X = vars2.drop('Var_Type',1).as_matrix()" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/chummels/src/yt-conda/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n", " \"\"\"Entry point for launching an IPython kernel.\n" ] } ], "source": [ "vars2['target'] = (vars2['Var_Type'].values==6)*1" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Catalina_Surveys_IDNumerical_IDRA_J2000DecV_magPeriod_daysAmplitudeNumber_ObsVar_Typetarget
115CSS_J001420.8+031214110400200740900:14:20.84+03:12:14.017.450.38711000.5617461
174CSS_J001616.0-173612101800204142900:16:16.00-17:36:12.413.87215.5641.17111130
198CSS_J001724.9+200542112100200772600:17:24.90+20:05:42.216.640.35712910.3922461
214CSS_J001812.9+210201112100202761000:18:12.97+21:02:01.514.540.416160.3422461
328CSS_J002230.8-183246101800202454000:22:30.83-18:32:46.111.72201.287181.26111130
\n", "
" ], "text/plain": [ " Catalina_Surveys_ID Numerical_ID RA_J2000 Dec V_mag \\\n", "115 CSS_J001420.8+031214 1104002007409 00:14:20.84 +03:12:14.0 17.45 \n", "174 CSS_J001616.0-173612 1018002041429 00:16:16.00 -17:36:12.4 13.87 \n", "198 CSS_J001724.9+200542 1121002007726 00:17:24.90 +20:05:42.2 16.64 \n", "214 CSS_J001812.9+210201 1121002027610 00:18:12.97 +21:02:01.5 14.54 \n", "328 CSS_J002230.8-183246 1018002024540 00:22:30.83 -18:32:46.1 11.72 \n", "\n", " Period_days Amplitude Number_Obs Var_Type target \n", "115 0.3871100 0.56 174 6 1 \n", "174 215.564 1.17 111 13 0 \n", "198 0.3571291 0.39 224 6 1 \n", "214 0.41616 0.34 224 6 1 \n", "328 201.28718 1.26 111 13 0 " ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "vars2.head()" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([1, 0, 1, 1, 0, 0, 1, 1, 0, 0])" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Y[:10]" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([['CSS_J001420.8+031214', 1104002007409, '00:14:20.84'],\n", " ['CSS_J001616.0-173612', 1018002041429, '00:16:16.00'],\n", " ['CSS_J001724.9+200542', 1121002007726, '00:17:24.90'],\n", " ...,\n", " ['CSS_J235422.2+072256', 1107127033122, '23:54:22.25'],\n", " ['CSS_J235702.7+395916', 1140099015488, '23:57:02.79'],\n", " ['CSS_J235946.8+371110', 1138103015911, '23:59:46.82']],\n", " dtype=object)" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "X[:,:3]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Create a training sample with 60% of the objects" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "# Create test/train mask\n", "itrain, itest = train_test_split(range(vars2.shape[0]), train_size=0.6)\n", "mask=np.ones(vars2.shape[0], dtype='int')\n", "mask[itrain]=1\n", "mask[itest]=0\n", "mask = (mask==1)" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([ True, True, True, True, True, False, True, True, False,\n", " False])" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "mask[:10]" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "% Class 6 objects in Training: 0.5087108013937283 0.499924116180725\n", "% Class 13 objects in Testing: 0.5195822454308094 0.4996163885061093\n" ] } ], "source": [ "print(\"% Class 6 objects in Training:\", np.mean(vars2.target[mask]), np.std((vars2.target[mask])))\n", "print(\"% Class 13 objects in Testing:\", np.mean(vars2.target[~mask]), np.std((vars2.target[~mask])))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## A bit about Decision Trees\n", "\n", "One builds a decision tree using one or more predictors:\n", "\n", "Here we want to classify variable astronomical sources (e.g. EA, RRab, RRc, RRd, RS CVn, LPV etc.) using a few features we have access to viz. V_mag, Period_days, Amplitude, Number_Obs (note that not all of these may be good or useful for our purpose).\n", "\n", "Generically let's call them 𝑋𝑖1,𝑋𝑖2,...,𝑋𝑖𝑝 ( 𝑖 for source type, 𝑝 for predictors). We also have an observed label π‘Œπ‘– for each type of variable.\n", "\n", "We first assign everyone to the same class, say π‘ŒΜ‚ 𝑖=1 . We can calculate the squared error πΈπ‘Ÿπ‘Ÿ=βˆ‘π‘–(π‘ŒΜ‚ π‘–βˆ’π‘Œπ‘–)2 \n", "At each step of the algorithm we consider a list of possible decision (or split), for example 𝑋12>35 , i.e. period is greater than 35.\n", "For each possible decision we recalculate the predictor for that rule, for example π‘ŒΜ‚ 𝑖=6 if 𝑋12>35 and Y i=13 if X<35.\n", "We recalculate the error for each possible decision: πΈπ‘Ÿπ‘Ÿ=βˆ‘π‘–(π‘ŒΜ‚ π‘–βˆ’π‘Œπ‘–)2 \n", "We choose the decision that reduces the error by the largest amount\n", "then keep going (if there are multiple predictors). The Err term is our impurity/loss function." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Define a few functions we will be using" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [], "source": [ "def display_dt(dt):\n", " dummy_io = io.StringIO() \n", " tree.export_graphviz(dt, out_file = dummy_io, proportion=True) \n", " print(dummy_io.getvalue())" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [], "source": [ "# This function creates images of tree models using pydotplus\n", "# https://github.com/JWarmenhoven/ISLR-python\n", "def print_tree(estimator, features, class_names=None, filled=True):\n", " tree = estimator\n", " names = features\n", " color = filled\n", " classn = class_names\n", " \n", " dot_data = io.StringIO()\n", " export_graphviz(estimator, out_file=dot_data, feature_names=features, proportion=True, class_names=classn, filled=filled)\n", " graph = pydotplus.graph_from_dot_data(dot_data.getvalue())\n", " return(graph)" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - #\n", "# Important parameters\n", "# indf - Input dataframe\n", "# featurenames - vector of names of predictors\n", "# targetname - name of column you want to predict (e.g. 0 or 1, 'M' or 'F', \n", "# 'yes' or 'no')\n", "# target1val - particular value you want to have as a 1 in the target\n", "# mask - boolean vector indicating test set (~mask is training set)\n", "# reuse_split - dictionary that contains traning and testing dataframes \n", "# (we'll use this to test different classifiers on the same \n", "# test-train splits)\n", "# score_func - we've used the accuracy as a way of scoring algorithms but \n", "# this can be more general later on\n", "# n_folds - Number of folds for cross validation ()\n", "# n_jobs - used for parallelization\n", "# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - #\n", "\n", "def do_classify(clf, parameters, indf, featurenames, targetname, target1val, mask=None, reuse_split=None, score_func=None, n_folds=5, n_jobs=1):\n", " subdf=indf[featurenames]\n", " X=subdf.values\n", " y=(indf[targetname].values==target1val)*1\n", " if mask.any() !=None:\n", " print(\"using mask\")\n", " Xtrain, Xtest, ytrain, ytest = X[mask], X[~mask], y[mask], y[~mask]\n", " if reuse_split !=None:\n", " print(\"using reuse split\")\n", " Xtrain, Xtest, ytrain, ytest = reuse_split['Xtrain'], reuse_split['Xtest'], reuse_split['ytrain'], reuse_split['ytest']\n", " if parameters:\n", " clf = cv_optimize(clf, parameters, Xtrain, ytrain, n_jobs=n_jobs, n_folds=n_folds, score_func=score_func)\n", " clf=clf.fit(Xtrain, ytrain)\n", " training_accuracy = clf.score(Xtrain, ytrain)\n", " test_accuracy = clf.score(Xtest, ytest)\n", " print(\"############# based on standard predict ################\")\n", " print(\"Accuracy on training data: %0.2f\" % (training_accuracy))\n", " print(\"Accuracy on test data: %0.2f\" % (test_accuracy))\n", " print(confusion_matrix(ytest, clf.predict(Xtest)))\n", " print(\"########################################################\")\n", " return(clf, Xtrain, ytrain, Xtest, ytest)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Run the decision tree model and get a confusion matrix\n", "### We will use the V magnitude and period as variables\n", "### We will use the gini index" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's first fit on two covariates to help us visualize what's going on. Have a look at the options on the help page . We'll be optimizing over two options here: max_depth - the maximum depth of the tree, min_samples_leaf - the minimum number of samples required to be at a leaf node." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Assuming the root note is S, and S' iterates over leaf notes such that the union of S'=S. Then the Gini impurity measures L(S') = |S'| 1βˆ’ p_{S'}^2 βˆ’ (1βˆ’ p_{S'})^2, where p_{S'} is the fraction of S' that are positive examples" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "############# based on standard predict ################\n", "Accuracy on training data: 1.00\n", "Accuracy on test data: 1.00\n", "[[184 0]\n", " [ 0 199]]\n", "########################################################\n" ] } ], "source": [ "clfTree1 = tree.DecisionTreeClassifier(max_depth=3, criterion='gini')\n", "\n", "subdf=vars2[['V_mag', 'Period_days']]\n", "X=subdf.values\n", "y=(vars2['target'].values==1)*1\n", "\n", "# TRAINING AND TESTING\n", "Xtrain, Xtest, ytrain, ytest = X[mask], X[~mask], y[mask], y[~mask]\n", "\n", "# FIT THE TREE \n", "clf=clfTree1.fit(Xtrain, ytrain)\n", "\n", "training_accuracy = clf.score(Xtrain, ytrain)\n", "test_accuracy = clf.score(Xtest, ytest)\n", "print(\"############# based on standard predict ################\")\n", "print(\"Accuracy on training data: %0.2f\" % (training_accuracy))\n", "print(\"Accuracy on test data: %0.2f\" % (test_accuracy))\n", "print(confusion_matrix(ytest, clf.predict(Xtest)))\n", "print(\"########################################################\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Yeah, we got perfect classification!\n", "### But there is a good reason for it. In fact two.\n", "### (1) Period is not a good variable to use for classification - if you have the period of an object, you already know a lot\n", "### (2) In this particular case, the periods for the two classes are very distinct from each other and so they are easy to separate when period is used as one of the variables." ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(574, 383, 574, 383)" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(Xtrain), len(Xtest), len(ytrain), len(ytest)" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "digraph Tree {\n", "node [shape=box] ;\n", "0 [label=\"X[1] <= 35.422\\ngini = 0.5\\nsamples = 100.0%\\nvalue = [0.491, 0.509]\"] ;\n", "1 [label=\"gini = 0.0\\nsamples = 50.9%\\nvalue = [0.0, 1.0]\"] ;\n", "0 -> 1 [labeldistance=2.5, labelangle=45, headlabel=\"True\"] ;\n", "2 [label=\"gini = 0.0\\nsamples = 49.1%\\nvalue = [1.0, 0.0]\"] ;\n", "0 -> 2 [labeldistance=2.5, labelangle=-45, headlabel=\"False\"] ;\n", "}\n" ] } ], "source": [ "display_dt(clf)" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "graph3 = print_tree(clf, features=['V_mag', 'Period_days'], class_names=['No', 'Yes'])\n", "Image(graph3.create_png())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Let us include all the steps above in a function" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [], "source": [ "def dtclassify(allclasses,class1,class2,var1,var2):\n", " vars2 = allclasses[ allclasses['Var_Type'].isin([class1,class2]) ]\n", " Y = vars2['Var_Type'].values\n", " Y = np.array([1 if y==6 else 0 for y in Y])\n", " X = vars2.drop('Var_Type',1).as_matrix()\n", " vars2['target'] = (vars2['Var_Type'].values==class1)*1\n", " \n", " # Create test/train mask\n", " itrain, itest = train_test_split(range(vars2.shape[0]), train_size=0.6)\n", " mask=np.ones(vars2.shape[0], dtype='int')\n", " mask[itrain]=1\n", " mask[itest]=0\n", " mask = (mask==1)\n", " \n", " print(\"% Class \",class1,\" objects in Training:\", np.mean(vars2.target[mask]), np.std((vars2.target[mask])))\n", " print(\"% Class \",class2,\" objects in Testing:\", np.mean(vars2.target[~mask]), np.std((vars2.target[~mask])))\n", " \n", " clfTree1 = tree.DecisionTreeClassifier(max_depth=3, criterion='gini')\n", "\n", " subdf=vars2[[var1, var2]]\n", " X=subdf.values\n", " y=(vars2['target'].values==1)*1\n", "\n", " # TRAINING AND TESTING\n", " Xtrain, Xtest, ytrain, ytest = X[mask], X[~mask], y[mask], y[~mask]\n", "\n", " # FIT THE TREE \n", " clf=clfTree1.fit(Xtrain, ytrain)\n", "\n", " training_accuracy = clf.score(Xtrain, ytrain)\n", " test_accuracy = clf.score(Xtest, ytest)\n", " print(\"############# based on standard predict ################\")\n", " print(\"Accuracy on training data: %0.2f\" % (training_accuracy))\n", " print(\"Accuracy on test data: %0.2f\" % (test_accuracy))\n", " print(confusion_matrix(ytest, clf.predict(Xtest)))\n", " print(\"########################################################\")\n", " \n", " display_dt(clf)\n", " return [clf,var1,var2]\n", " \n", "# graph3 = print_tree(clf, features=[var1, var2], class_names=['No', 'Yes'])\n", "# Image(graph3.create_png())\n", " \n" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [], "source": [ "# A generic function to do CV\n", "\n", "def cv_optimize(clf, parameters, X, y, n_jobs=1, n_folds=5, score_func=None):\n", " if score_func:\n", " gs = GridSearchCV(clf, param_grid=parameters, cv=n_folds, n_jobs=n_jobs, scoring=score_func)\n", " else:\n", " gs = GridSearchCV(clf, param_grid=parameters, n_jobs=n_jobs, cv=n_folds)\n", " gs.fit(X, y)\n", "\n", " best = gs.best_estimator_\n", " return best" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### First try it again with variables we have already tried" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "% Class 6 objects in Training: 0.5209059233449478 0.4995627511825669\n", "% Class 13 objects in Testing: 0.5013054830287206 0.4999982957111571\n", "############# based on standard predict ################\n", "Accuracy on training data: 1.00\n", "Accuracy on test data: 1.00\n", "[[191 0]\n", " [ 0 192]]\n", "########################################################\n", "digraph Tree {\n", "node [shape=box] ;\n", "0 [label=\"X[1] <= 35.33\\ngini = 0.499\\nsamples = 100.0%\\nvalue = [0.479, 0.521]\"] ;\n", "1 [label=\"gini = 0.0\\nsamples = 52.1%\\nvalue = [0.0, 1.0]\"] ;\n", "0 -> 1 [labeldistance=2.5, labelangle=45, headlabel=\"True\"] ;\n", "2 [label=\"gini = 0.0\\nsamples = 47.9%\\nvalue = [1.0, 0.0]\"] ;\n", "0 -> 2 [labeldistance=2.5, labelangle=-45, headlabel=\"False\"] ;\n", "}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/chummels/src/yt-conda/lib/python3.6/site-packages/ipykernel_launcher.py:5: FutureWarning: Method .as_matrix will be removed in a future version. Use .values instead.\n", " \"\"\"\n", "/Users/chummels/src/yt-conda/lib/python3.6/site-packages/ipykernel_launcher.py:6: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n", " \n" ] }, { "data": { "text/plain": [ "[DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=3,\n", " max_features=None, max_leaf_nodes=None,\n", " min_impurity_decrease=0.0, min_impurity_split=None,\n", " min_samples_leaf=1, min_samples_split=2,\n", " min_weight_fraction_leaf=0.0, presort=False,\n", " random_state=None, splitter='best'),\n", " 'V_mag',\n", " 'Period_days']" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dtclassify(vars6,6,13,'V_mag','Period_days')" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ "graph3 = print_tree(clf, features=['V_mag', 'Period_days'], class_names=['No', 'Yes'])\n", "Image(graph3.create_png())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### And now with other classes and variables\n", "### unbalanced classes in this case" ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "% Class 8 objects in Training: 0.7525773195876289 0.4315144234320897\n", "% Class 13 objects in Testing: 0.770618556701031 0.42043500897172076\n", "############# based on standard predict ################\n", "Accuracy on training data: 0.97\n", "Accuracy on test data: 0.96\n", "[[160 18]\n", " [ 11 587]]\n", "########################################################\n", "digraph Tree {\n", "node [shape=box] ;\n", "0 [label=\"X[1] <= 0.57\\ngini = 0.372\\nsamples = 100.0%\\nvalue = [0.247, 0.753]\"] ;\n", "1 [label=\"X[1] <= 0.415\\ngini = 0.078\\nsamples = 76.5%\\nvalue = [0.04, 0.96]\"] ;\n", "0 -> 1 [labeldistance=2.5, labelangle=45, headlabel=\"True\"] ;\n", "2 [label=\"X[0] <= 12.255\\ngini = 0.031\\nsamples = 71.2%\\nvalue = [0.016, 0.984]\"] ;\n", "1 -> 2 ;\n", "3 [label=\"gini = 0.5\\nsamples = 0.2%\\nvalue = [0.5, 0.5]\"] ;\n", "2 -> 3 ;\n", "4 [label=\"gini = 0.029\\nsamples = 71.0%\\nvalue = [0.015, 0.985]\"] ;\n", "2 -> 4 ;\n", "5 [label=\"X[0] <= 13.105\\ngini = 0.47\\nsamples = 5.2%\\nvalue = [0.377, 0.623]\"] ;\n", "1 -> 5 ;\n", "6 [label=\"gini = 0.133\\nsamples = 1.2%\\nvalue = [0.929, 0.071]\"] ;\n", "5 -> 6 ;\n", "7 [label=\"gini = 0.335\\nsamples = 4.0%\\nvalue = [0.213, 0.787]\"] ;\n", "5 -> 7 ;\n", "8 [label=\"X[0] <= 16.53\\ngini = 0.148\\nsamples = 23.5%\\nvalue = [0.92, 0.08]\"] ;\n", "0 -> 8 [labeldistance=2.5, labelangle=-45, headlabel=\"False\"] ;\n", "9 [label=\"X[1] <= 0.665\\ngini = 0.078\\nsamples = 21.2%\\nvalue = [0.96, 0.04]\"] ;\n", "8 -> 9 ;\n", "10 [label=\"gini = 0.434\\nsamples = 1.9%\\nvalue = [0.682, 0.318]\"] ;\n", "9 -> 10 ;\n", "11 [label=\"gini = 0.026\\nsamples = 19.3%\\nvalue = [0.987, 0.013]\"] ;\n", "9 -> 11 ;\n", "12 [label=\"X[1] <= 0.85\\ngini = 0.494\\nsamples = 2.3%\\nvalue = [0.556, 0.444]\"] ;\n", "8 -> 12 ;\n", "13 [label=\"gini = 0.408\\nsamples = 1.2%\\nvalue = [0.286, 0.714]\"] ;\n", "12 -> 13 ;\n", "14 [label=\"gini = 0.26\\nsamples = 1.1%\\nvalue = [0.846, 0.154]\"] ;\n", "12 -> 14 ;\n", "}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/chummels/src/yt-conda/lib/python3.6/site-packages/ipykernel_launcher.py:5: FutureWarning: Method .as_matrix will be removed in a future version. Use .values instead.\n", " \"\"\"\n", "/Users/chummels/src/yt-conda/lib/python3.6/site-packages/ipykernel_launcher.py:6: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n", " \n" ] } ], "source": [ "[clf,var1,var2] = dtclassify(vars6,8,13,'V_mag','Amplitude')" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" } ], "source": [ "graph3 = print_tree(clf, features=[var1, var2], class_names=['No', 'Yes'])\n", "Image(graph3.create_png())" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=3,\n", " max_features=None, max_leaf_nodes=None,\n", " min_impurity_decrease=0.0, min_impurity_split=None,\n", " min_samples_leaf=1, min_samples_split=2,\n", " min_weight_fraction_leaf=0.0, presort=False,\n", " random_state=None, splitter='best')" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ "clf" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Lets look at features derived from light curves now, and use them to see if we can separate CVs and Blazars\n", "### This is a different dataset than before" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
source_idid2RADecglgbamplitudebeyond1stdfpr_mid20fpr_mid35...percent_amplitudepdfpskewkurtosisstdmagratiodata_numnpeakspeakstatsVar_Type
0CSS071112:024457+352249601221350131103298841.23929135.380553187.866217-21.5127451.2210160.3333330.1053550.271527...0.8194201.4796321.0234880.0836160.6809930.5000001800.00
1CSS071112:085823-0037295120100104811037790134.595171-0.624753106.14875528.0312241.8785620.1304350.0773220.203941...0.9491151.3692431.4252660.8077341.0624280.4782612300.00
2CSS071115:044216-002334510270010261104132170.566770-0.392723138.476707-27.9981581.2316190.2857140.1798180.268211...1.2462331.9317500.630285-0.5722440.7329510.5000002810.00
3CSS071206:060031-105208712060090321101160190.129114-10.868934118.681166-15.6553620.2426550.4000000.0495810.086766...0.4079430.416313-1.161945-0.1149120.1660900.400000500.00
4CSS071214:090904+0917145053110904911006068137.2682689.287025114.73927535.2434731.2250360.1538460.0608420.190844...0.8450351.3102121.5349000.9719670.7748220.4615381300.00
\n", "

5 rows Γ— 28 columns

\n", "
" ], "text/plain": [ " source_id id2 RA Dec \\\n", "0 CSS071112:024457+352249 6012213501311032988 41.239291 35.380553 \n", "1 CSS071112:085823-003729 5120100104811037790 134.595171 -0.624753 \n", "2 CSS071115:044216-002334 5102700102611041321 70.566770 -0.392723 \n", "3 CSS071206:060031-105208 7120600903211011601 90.129114 -10.868934 \n", "4 CSS071214:090904+091714 5053110904911006068 137.268268 9.287025 \n", "\n", " gl gb amplitude beyond1std fpr_mid20 fpr_mid35 ... \\\n", "0 187.866217 -21.512745 1.221016 0.333333 0.105355 0.271527 ... \n", "1 106.148755 28.031224 1.878562 0.130435 0.077322 0.203941 ... \n", "2 138.476707 -27.998158 1.231619 0.285714 0.179818 0.268211 ... \n", "3 118.681166 -15.655362 0.242655 0.400000 0.049581 0.086766 ... \n", "4 114.739275 35.243473 1.225036 0.153846 0.060842 0.190844 ... \n", "\n", " percent_amplitude pdfp skew kurtosis std magratio \\\n", "0 0.819420 1.479632 1.023488 0.083616 0.680993 0.500000 \n", "1 0.949115 1.369243 1.425266 0.807734 1.062428 0.478261 \n", "2 1.246233 1.931750 0.630285 -0.572244 0.732951 0.500000 \n", "3 0.407943 0.416313 -1.161945 -0.114912 0.166090 0.400000 \n", "4 0.845035 1.310212 1.534900 0.971967 0.774822 0.461538 \n", "\n", " data_num npeaks peakstats Var_Type \n", "0 18 0 0.0 0 \n", "1 23 0 0.0 0 \n", "2 28 1 0.0 0 \n", "3 5 0 0.0 0 \n", "4 13 0 0.0 0 \n", "\n", "[5 rows x 28 columns]" ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ "features = pd.read_csv(featuresfile,\n", " header=1,\n", " sep=',',\n", " skipinitialspace=True,)\n", "\n", "\n", "features.columns = ['source_id', 'id2', 'RA', 'Dec', 'gl', 'gb', \n", " 'amplitude', 'beyond1std', 'fpr_mid20', 'fpr_mid35', \n", " 'fpr_mid50', 'fpr_mid65', 'fpr_mid80', 'linear_trend', \n", " 'max_slope', 'med_abs_dev', 'med_buf_range_per', 'pair_slope_trend', \n", " 'percent_amplitude', 'pdfp', 'skew', 'kurtosis', 'std', 'magratio', \n", " 'data_num', 'npeaks', 'peakstats', 'Var_Type']\n", "features.head()" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "% Class 0 objects in Training: 0.7942857142857143 0.4042226099160547\n", "% Class 1 objects in Testing: 0.7777777777777778 0.41573970964154905\n", "############# based on standard predict ################\n", "Accuracy on training data: 0.80\n", "Accuracy on test data: 0.78\n", "[[ 1 51]\n", " [ 1 181]]\n", "########################################################\n", "digraph Tree {\n", "node [shape=box] ;\n", "0 [label=\"X[1] <= 0.219\\ngini = 0.327\\nsamples = 100.0%\\nvalue = [0.206, 0.794]\"] ;\n", "1 [label=\"X[0] <= 1.692\\ngini = 0.097\\nsamples = 33.7%\\nvalue = [0.051, 0.949]\"] ;\n", "0 -> 1 [labeldistance=2.5, labelangle=45, headlabel=\"True\"] ;\n", "2 [label=\"X[0] <= 1.625\\ngini = 0.278\\nsamples = 8.6%\\nvalue = [0.167, 0.833]\"] ;\n", "1 -> 2 ;\n", "3 [label=\"gini = 0.198\\nsamples = 7.7%\\nvalue = [0.111, 0.889]\"] ;\n", "2 -> 3 ;\n", "4 [label=\"gini = 0.444\\nsamples = 0.9%\\nvalue = [0.667, 0.333]\"] ;\n", "2 -> 4 ;\n", "5 [label=\"X[1] <= 0.199\\ngini = 0.022\\nsamples = 25.1%\\nvalue = [0.011, 0.989]\"] ;\n", "1 -> 5 ;\n", "6 [label=\"gini = 0.0\\nsamples = 19.7%\\nvalue = [0.0, 1.0]\"] ;\n", "5 -> 6 ;\n", "7 [label=\"gini = 0.1\\nsamples = 5.4%\\nvalue = [0.053, 0.947]\"] ;\n", "5 -> 7 ;\n", "8 [label=\"X[0] <= 0.923\\ngini = 0.407\\nsamples = 66.3%\\nvalue = [0.284, 0.716]\"] ;\n", "0 -> 8 [labeldistance=2.5, labelangle=-45, headlabel=\"False\"] ;\n", "9 [label=\"gini = 0.0\\nsamples = 14.0%\\nvalue = [0.0, 1.0]\"] ;\n", "8 -> 9 ;\n", "10 [label=\"X[0] <= 2.018\\ngini = 0.461\\nsamples = 52.3%\\nvalue = [0.361, 0.639]\"] ;\n", "8 -> 10 ;\n", "11 [label=\"gini = 0.499\\nsamples = 33.4%\\nvalue = [0.479, 0.521]\"] ;\n", "10 -> 11 ;\n", "12 [label=\"gini = 0.257\\nsamples = 18.9%\\nvalue = [0.152, 0.848]\"] ;\n", "10 -> 12 ;\n", "}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/chummels/src/yt-conda/lib/python3.6/site-packages/ipykernel_launcher.py:5: FutureWarning: Method .as_matrix will be removed in a future version. Use .values instead.\n", " \"\"\"\n" ] } ], "source": [ "[clf,var1,var2] = dtclassify(features,0,1,'amplitude','beyond1std')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### That was no classification at all! All objects were declared to be in the same class." ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "graph3 = print_tree(clf, features=[var1, var2], class_names=['No', 'Yes'])\n", "Image(graph3.create_png())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## We will now use Random forests instead of individual trees" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Random Forests\n", "\n", "Random forests works by aggregating the results from a number of randomly perturbed decision trees constructed to explain the data.\n", "\n", "### A bit on bootstrap aggregation\n", "The idea of random forests arises naturally by first considering Tree bagging. In tree bagging we do the following $b$ times:\n", "\n", "1. Take a random subsample of your data\n", "2. Build a classification (or regression) tree like in the previous section\n", "3. repeat\n", "\n", "For a new data point we can then simply run that point through all the $b$ trees constructed, get all the decisions $\\hat{Y}_1,..., \\hat{Y}_b$ and take a majority vote. This form of averaging gets rid of some of the over-fitting issues found in just using one tree. Plus fitting these trees costs a lot computationally, so what else can we do?\n", "\n", "### Leads to Random Forests?\n", "This method is very similar to the bootstrap aggregation method. However, as the name suggests some extra randomness is injected into the building of the trees. It turns out that the trees that are build from the random subsample of your data are quite similar, so the solution is quite simple. In Random Forests we do the following $b$ times:\n", "\n", "1. Take a random subsample of your data\n", "2. randomly select a subset of predictors to be used in building the tree\n", "3. Build a classification (or regression) tree with only those variables selected in 2\n", "4. repeat\n", "\n", "We take a majority vote the same as before. Have a look at the help page for the [Random Forest Classifier](http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html), we'll be optimizing two options: `n_estimators` - the number of trees in the forest, `max_features` - the number of features to consider when looking for the best split (step 2 above)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Select appropriate variables\n", "### Note that a couple of variables chosen here are perhaps not good variables" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [ { "ename": "NameError", "evalue": "name 'Xnames' 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[0;32m----> 1\u001b[0;31m \u001b[0mXnames\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[0;31mNameError\u001b[0m: name 'Xnames' is not defined" ] } ], "source": [ "Xnames" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "Xnames = list(features.columns.values[4:-1])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Like before we will define a training set of 60%" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "clfForest = RandomForestClassifier(n_estimators=10, oob_score=True, max_features='auto')\n", "features['target'] = features['Var_Type']\n", "\n", "subdf=features[Xnames]\n", "X=subdf.values\n", "y=(features['target'].values==1)*1\n", "\n", "# Create test/train mask\n", "itrain, itest = train_test_split(range(features.shape[0]), train_size=0.6)\n", "mask=np.ones(features.shape[0], dtype='int')\n", "mask[itrain]=1\n", "mask[itest]=0\n", "mask = (mask==1)\n", " \n", "\n", "# TRAINING AND TESTING\n", "Xtrain, Xtest, ytrain, ytest = X[mask], X[~mask], y[mask], y[~mask]\n", "\n", "# FIT THE TREE \n", "clf=clfForest.fit(Xtrain, ytrain)\n", "\n", "print(clfForest.n_estimators)\n", "\n", "training_accuracy = clfForest.score(Xtrain, ytrain)\n", "test_accuracy = clfForest.score(Xtest, ytest)\n", "print(\"############# based on standard predict ################\")\n", "print(\"Accuracy on training data: %0.2f\" % (training_accuracy))\n", "print(\"Accuracy on test data: %0.2f\" % (test_accuracy))\n", "print(confusion_matrix(ytest, clf.predict(Xtest)))\n", "print(\"########################################################\")\n", "\n", "parameters = {\"n_estimators\": list(range(1, 20))}\n", "clfForest, Xtrain, ytrain, Xtest, ytest = do_classify(clfForest, parameters, \n", " features, Xnames, 'target', 1, mask=mask, \n", " n_jobs = 4, score_func='f1')\n", "print(clfForest.n_estimators)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### That was not great, but who said classification was easy?\n", "### Try with other classes, perhaps get other features, and of yes, a larger training sample with less sparse light curves." ] } ], "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 }