{"cells":[{"metadata":{"_uuid":"9bdcaebc4182743d0dc1a5a6b6bb0c0654e0bfed"},"cell_type":"markdown","source":"* Borrowed the idea from a super cool paper from CoNLL 2018: \nEvolutionary Data Measures: Understanding the Difficulty of Text Classification Tasks\n\n* Paper: https://arxiv.org/abs/1811.01910\n* Code: https://github.com/Wluper/edm"},{"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\n# Any results you write to the current directory are saved as output.","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"ce0d425f1cb323a1765be3aca0bbabdc681dbe60"},"cell_type":"code","source":"train_df = pd.read_csv(\"../input/train.csv\")\ndf = train_df.sample(frac=0.02)\nsents = df[\"question_text\"].fillna(\"_##_\").values\nlabels = df[\"target\"].values","execution_count":null,"outputs":[]},{"metadata":{"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","trusted":true},"cell_type":"code","source":"from edm import report\nprint(report.get_difficulty_report(sents, labels))","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}