{"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_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"This is the sample submission notebook to validate the usage of API.","metadata":{}},{"cell_type":"code","source":"import pandas as pd\n\nimport jo_wilder\nenv = jo_wilder.make_env()\niter_test = env.iter_test()","metadata":{"execution":{"iopub.status.busy":"2023-04-09T11:27:08.184166Z","iopub.execute_input":"2023-04-09T11:27:08.184939Z","iopub.status.idle":"2023-04-09T11:27:08.245660Z","shell.execute_reply.started":"2023-04-09T11:27:08.184893Z","shell.execute_reply":"2023-04-09T11:27:08.244252Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"counter = 0\n# The API will deliver two dataframes in this specific order,\n# for every session+level grouping (one group per session for each checkpoint)\nfor (test, sample_submission) in iter_test:\n    if counter == 0:\n        print(sample_submission.head())\n        print(test.head())\n        print(test.shape)\n        \n    ## users make predictions here using the test data\n    sample_submission['correct'] = 0\n    \n    ## env.predict appends the session+level sample_submission to the overall\n    ## submission\n    env.predict(sample_submission)\n    counter += 1","metadata":{"execution":{"iopub.status.busy":"2023-04-09T11:21:49.967077Z","iopub.execute_input":"2023-04-09T11:21:49.969427Z","iopub.status.idle":"2023-04-09T11:21:50.046134Z","shell.execute_reply.started":"2023-04-09T11:21:49.969379Z","shell.execute_reply":"2023-04-09T11:21:50.045102Z"},"trusted":true},"execution_count":null,"outputs":[]}]}