{"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\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 read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))\n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"from catboost import CatBoostClassifier","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"file_path = \"/kaggle/input/avazu-ctr-prediction/train.gz\"\ndata_df = pd.read_csv(file_path, header=0, nrows=10000000).sample(frac=1)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train_count = int(len(data_df) * 0.9)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"X_train = data_df.iloc[:train_count,2:]\ny_train = data_df.iloc[:train_count,1]","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"X_val = data_df.iloc[train_count:,2:]\ny_val = data_df.iloc[train_count:,1]","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"X_val.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"cat_features = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"model = CatBoostClassifier(\n    iterations=50,\n    learning_rate=0.5,\n    task_type='GPU',\n    loss_function='Logloss',\n#     gpu_ram_part=0.9,\n#     boosting_type='Plain',\n#     max_ctr_complexity=2,\n#     depth=6,\n#     gpu_cat_features_storage='CpuPinnedMemory',\n)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"model.fit(\n    X_train, y_train,\n    eval_set=(X_val, y_val),\n    cat_features=cat_features,\n    verbose=10,\n)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"model.get_feature_importance(prettified=True)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"test_file_path = \"/kaggle/input/avazu-ctr-prediction/test.gz\"\ntest_df = pd.read_csv(test_file_path, header=0, dtype=str)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"X_test = test_df.iloc[:, 1:]\nX_test.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"y_test = model.predict(X_test, \n                        prediction_type='Probability', \n                        ntree_start=0, ntree_end=model.get_best_iteration(), \n                        thread_count=-1, verbose=None)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"id_test = test_df.iloc[:, 0:1]\nid_test","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"id_test.join(pd.DataFrame(y_test)) ","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"submission_df = pd.read_csv(\"/kaggle/input/avazu-ctr-prediction/sampleSubmission.gz\")","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"submission_df[\"click\"] = y_test[:, 1]\nsubmission_df.to_csv(\"submission.csv\", index=False)\nsubmission_df.head()","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat":4,"nbformat_minor":4}