{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"import numpy as np\nimport pandas as pd\nfrom tqdm import tqdm_notebook\n\nimport os\nprint(os.listdir(\"../input\"))\n","execution_count":1,"outputs":[{"output_type":"stream","text":"['freesound-audio-tagging-2019', 'freesound-feeder-1']\n","name":"stdout"}]},{"metadata":{},"cell_type":"markdown","source":"### Let's listen to an audio clip!"},{"metadata":{"trusted":true},"cell_type":"code","source":"import IPython.display as ipd\nimport wave","execution_count":2,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train_curated_files = os.listdir('../input/freesound-audio-tagging-2019/train_curated')","execution_count":3,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"ipd.Audio('../input/freesound-audio-tagging-2019/train_curated/' + train_curated_files[0])","execution_count":4,"outputs":[{"output_type":"execute_result","execution_count":4,"data":{"text/plain":"","text/html":"\n \n "},"metadata":{}}]},{"metadata":{},"cell_type":"markdown","source":"### Let's make a naive prediction!"},{"metadata":{"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","trusted":true},"cell_type":"code","source":"train_noisy = pd.read_csv(\n '../input/freesound-audio-tagging-2019/train_noisy.csv', index_col='fname')\ntrain_curated = pd.read_csv(\n '../input/freesound-audio-tagging-2019/train_curated.csv', index_col='fname')\nsubmission = pd.read_csv(\n '../input/freesound-audio-tagging-2019/sample_submission.csv', index_col='fname')\n\nlabels = submission.columns.tolist()","execution_count":5,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"for label in labels:\n train_noisy[label] = 0\n train_curated[label] = 0 ","execution_count":6,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"for row in tqdm_notebook(train_noisy.index):\n row_labels = train_noisy.loc[row, 'labels'].split(',')\n for label in row_labels:\n train_noisy.loc[row, label] = 1\n\nfor row in tqdm_notebook(train_curated.index):\n row_labels = train_curated.loc[row, 'labels'].split(',')\n for label in row_labels:\n train_curated.loc[row, label] = 1\n \n \ntrain_noisy['num_labels'] = train_noisy[labels].sum(axis=1)\ntrain_curated['num_labels'] = train_curated[labels].sum(axis=1)","execution_count":7,"outputs":[{"output_type":"display_data","data":{"text/plain":"HBox(children=(IntProgress(value=0, max=19815), HTML(value='')))","application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"475a472bfb5f4bf2b2bf113e9411b1a5"}},"metadata":{}},{"output_type":"stream","text":"\n","name":"stdout"},{"output_type":"display_data","data":{"text/plain":"HBox(children=(IntProgress(value=0, max=4970), HTML(value='')))","application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"124cefa5258d49038f8c78bb6f67c669"}},"metadata":{}},{"output_type":"stream","text":"\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"label_count = train_noisy[labels].sum(axis=0) + train_curated[labels].sum(axis=0)\nlabel_pred = label_count / label_count.sum()\n\nsubmission.loc[:,:] = label_pred.values[:, None].ravel()","execution_count":8,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"submission.to_csv('submission.csv')","execution_count":9,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.4","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}