{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import multiprocessing" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "16" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "multiprocessing.cpu_count()" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import pandas as pd\n", "from sklearn.ensemble import RandomForestClassifier" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": true }, "outputs": [], "source": [ "train_df = pd.read_csv('forest_train.csv', index_col='Id')" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "
\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", "... | \n", "Soil_Type32 | \n", "Soil_Type33 | \n", "Soil_Type34 | \n", "Soil_Type35 | \n", "Soil_Type36 | \n", "Soil_Type37 | \n", "Soil_Type38 | \n", "Soil_Type39 | \n", "Soil_Type40 | \n", "Cover_Type | \n", "
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Id | \n", "\n", " | \n", " | \n", " | \n", " | \n", " | \n", " | \n", " | \n", " | \n", " | \n", " | \n", " | \n", " | \n", " | \n", " | \n", " | \n", " | \n", " | \n", " | \n", " | \n", " | \n", " |
1 | \n", "2596 | \n", "51 | \n", "3 | \n", "258 | \n", "0 | \n", "510 | \n", "221 | \n", "232 | \n", "148 | \n", "6279 | \n", "... | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "5 | \n", "
2 | \n", "2590 | \n", "56 | \n", "2 | \n", "212 | \n", "-6 | \n", "390 | \n", "220 | \n", "235 | \n", "151 | \n", "6225 | \n", "... | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "5 | \n", "
3 | \n", "2804 | \n", "139 | \n", "9 | \n", "268 | \n", "65 | \n", "3180 | \n", "234 | \n", "238 | \n", "135 | \n", "6121 | \n", "... | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "2 | \n", "
4 | \n", "2785 | \n", "155 | \n", "18 | \n", "242 | \n", "118 | \n", "3090 | \n", "238 | \n", "238 | \n", "122 | \n", "6211 | \n", "... | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "2 | \n", "
5 | \n", "2595 | \n", "45 | \n", "2 | \n", "153 | \n", "-1 | \n", "391 | \n", "220 | \n", "234 | \n", "150 | \n", "6172 | \n", "... | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "5 | \n", "
5 rows × 55 columns
\n", "