{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"80433b0a-d019-025a-6fbd-5fec6f356d29"},"outputs":[],"source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load in \n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the \"../input/\" directory.\n# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory\n\nfrom subprocess import check_output\nprint(check_output([\"ls\", \"../input\"]).decode(\"utf8\"))\n\n# Any results you write to the current directory are saved as output."},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"0981f420-8b49-9899-1fea-11b40a27bd75"},"outputs":[],"source":"import xgboost as xgb\n\nDATA_DIR = \"../input\"\n\nID_COLUMN = 'Id'\nTARGET_COLUMN = 'Response'\n\nSEED = 0\nCHUNKSIZE = 50000\nNROWS = 250000\n\nTRAIN_NUMERIC = \"{0}/train_numeric.csv\".format(DATA_DIR)\nTRAIN_DATE = \"{0}/train_date.csv\".format(DATA_DIR)\n\nTEST_NUMERIC = \"{0}/test_numeric.csv\".format(DATA_DIR)\nTEST_DATE = \"{0}/test_date.csv\".format(DATA_DIR)\n\nFILENAME = \"etimelhoods\"\n\ntrain = pd.read_csv(TRAIN_NUMERIC, usecols=[ID_COLUMN, TARGET_COLUMN], nrows=NROWS)\ntest = pd.read_csv(TEST_NUMERIC, usecols=[ID_COLUMN], nrows=NROWS)\n\ntrain[\"StartTime\"] = -1\ntest[\"StartTime\"] = -1\n\n"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"90974a13-a063-daa6-82a5-0cd1c8d8158f"},"outputs":[],"source":"train[ID_COLUMN].head()"}],"metadata":{"_change_revision":0,"_is_fork":false,"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":"3.5.2"}},"nbformat":4,"nbformat_minor":0}