{ "metadata": { "name": "", "signature": "sha256:a2c6e6808de870aeed8ff6d270a5a373f8cf0063692d13b83f59ac37afe7f358" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "@ Alexander Guschin, 23 October 2014" ] }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "Load data" ] }, { "cell_type": "code", "collapsed": false, "input": [ "import pandas as pd\n", "from sklearn import ensemble\n", "%matplotlib inline\n", "import matplotlib.pyplot as plt\n", "import numpy as np" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 14 }, { "cell_type": "code", "collapsed": true, "input": [ "train = pd.read_csv('data/train.csv')\n", "test = pd.read_csv('data/test.csv')" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 15 }, { "cell_type": "code", "collapsed": false, "input": [ "train.ix[:0,:11]" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
\n", " | Id | \n", "Elevation | \n", "Aspect | \n", "Slope | \n", "Horizontal_Distance_To_Hydrology | \n", "Vertical_Distance_To_Hydrology | \n", "Horizontal_Distance_To_Roadways | \n", "Hillshade_9am | \n", "Hillshade_Noon | \n", "Hillshade_3pm | \n", "Horizontal_Distance_To_Fire_Points | \n", "
---|---|---|---|---|---|---|---|---|---|---|---|
0 | \n", "1 | \n", "2596 | \n", "51 | \n", "3 | \n", "258 | \n", "0 | \n", "510 | \n", "221 | \n", "232 | \n", "148 | \n", "6279 | \n", "
1 rows \u00d7 11 columns
\n", "\n", " | 0 | \n", "
---|---|
EHDtH | \n", "0.097486 | \n", "
Elevation | \n", "0.096896 | \n", "
EVDtH | \n", "0.092564 | \n", "
Wilderness_Area4 | \n", "0.046237 | \n", "
Fire_Road_1 | \n", "0.033677 | \n", "
Hydro_Road_2 | \n", "0.032912 | \n", "
Horizontal_Distance_To_Roadways | \n", "0.031300 | \n", "
Hydro_Road_1 | \n", "0.030773 | \n", "
Distanse_to_Hydrolody | \n", "0.028715 | \n", "
Horizontal_Distance_To_Hydrology | \n", "0.027839 | \n", "
10 rows \u00d7 1 columns
\n", "