{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","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\nimport os\nprint(os.listdir(\"../input\"))\n\nimport matplotlib.pyplot as plt\n%matplotlib inline\n\n# Any results you write to the current directory are saved as output.","execution_count":null,"outputs":[]},{"metadata":{"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","trusted":true},"cell_type":"code","source":"meta_train = pd.read_csv('../input/training_set_metadata.csv')\nmeta_train.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"eadd95a8357a7aef1c64ae9b8603ddfdf9296585"},"cell_type":"code","source":"def photoztodist(data) :\n    return ((((((np.log((((data[\"hostgal_photoz\"]) + (np.log((((data[\"hostgal_photoz\"]) + (np.sqrt((np.log((np.maximum(((3.0)), ((((data[\"hostgal_photoz\"]) * 2.0))))))))))))))))) + ((12.99870681762695312)))) + ((1.17613816261291504)))) * (3.0))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"4d83ef3c61935a8d6dae42ffd145c67ff6bbfc44"},"cell_type":"code","source":"myfilter = ~meta_train.distmod.isnull()\nplt.scatter(photoztodist(meta_train[myfilter]),meta_train[myfilter].distmod)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"04771be1a271fd5d88b1dd8b29ba54e533ea9f00"},"cell_type":"code","source":"from sklearn.metrics import mean_squared_error\nmean_squared_error(meta_train[myfilter].distmod,photoztodist(meta_train[myfilter]))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"9ab35202868d98719d3c27bce39dc766febc0cf3"},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.6","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}