{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.12","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"none","dataSources":[{"sourceId":59094,"databundleVersionId":7010844,"sourceType":"competition"},{"sourceId":7094678,"sourceType":"datasetVersion","datasetId":4085884},{"sourceId":7094709,"sourceType":"datasetVersion","datasetId":4041813},{"sourceId":7094733,"sourceType":"datasetVersion","datasetId":4088765},{"sourceId":150481827,"sourceType":"kernelVersion"},{"sourceId":152589679,"sourceType":"kernelVersion"},{"sourceId":153086250,"sourceType":"kernelVersion"}],"dockerImageVersionId":30558,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":false}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# INFO\n* This Kernel is a late sub.\n* The blended models are those that have been trained up until the competition Dead Line.\n\n# Blending\n* Simply Blend\n    * PublicKernel LB 0.53 https://www.kaggle.com/code/nguynvnthtr/blend-for-single-cell-perturbations\n    * add MyModels(Dense, LSTM, Transformer). The model structure is in the Dataset, so please refer to it.\n    ","metadata":{}},{"cell_type":"code","source":"import warnings\nwarnings.simplefilter('ignore')\nimport pandas as pd\npd.set_option('display.max_columns', 30)","metadata":{"execution":{"iopub.status.busy":"2023-11-30T12:28:40.915687Z","iopub.execute_input":"2023-11-30T12:28:40.916915Z","iopub.status.idle":"2023-11-30T12:28:41.362499Z","shell.execute_reply.started":"2023-11-30T12:28:40.916861Z","shell.execute_reply":"2023-11-30T12:28:41.361303Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df586 = pd.read_csv('/kaggle/input/optraininfexp003/submission.csv', index_col='id')\ndf530 = pd.read_csv('/kaggle/input/blend-for-single-cell-perturbations/submission.csv', index_col='id')\n\ndf634 = pd.read_csv('/kaggle/input/op-alef-b-2121-train-transformer-exp-lb634/Alef-B-2121-TRAIN-Transformer-exp_sub.csv', index_col='id')\ncv679 = pd.read_csv('/kaggle/input/dalet-b-100-train-lstm-gru-adamw-cuda-cv0-6792/DALET-B-100-TRAIN-LSTM-GRU-AdamW-CUDA_sub.csv', index_col='id')","metadata":{"execution":{"iopub.status.busy":"2023-11-30T12:28:41.364739Z","iopub.execute_input":"2023-11-30T12:28:41.365275Z","iopub.status.idle":"2023-11-30T12:29:05.537259Z","shell.execute_reply.started":"2023-11-30T12:28:41.365242Z","shell.execute_reply":"2023-11-30T12:29:05.535997Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"submit = df530 * 0.99 + df586 * 0.19 + df634 * 0.01 + cv679 * 0.005","metadata":{"execution":{"iopub.status.busy":"2023-11-30T12:29:40.988387Z","iopub.execute_input":"2023-11-30T12:29:40.988792Z","iopub.status.idle":"2023-11-30T12:29:41.092593Z","shell.execute_reply.started":"2023-11-30T12:29:40.988761Z","shell.execute_reply":"2023-11-30T12:29:41.091725Z"}},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"submit.to_csv('submission.csv')","metadata":{"execution":{"iopub.status.busy":"2023-11-30T12:29:41.444721Z","iopub.execute_input":"2023-11-30T12:29:41.445148Z","iopub.status.idle":"2023-11-30T12:29:54.496346Z","shell.execute_reply.started":"2023-11-30T12:29:41.445118Z","shell.execute_reply":"2023-11-30T12:29:54.495307Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"pd.read_csv('/kaggle/working/submission.csv')","metadata":{"execution":{"iopub.status.busy":"2023-11-30T12:29:54.498363Z","iopub.execute_input":"2023-11-30T12:29:54.499033Z","iopub.status.idle":"2023-11-30T12:29:59.914906Z","shell.execute_reply.started":"2023-11-30T12:29:54.499Z","shell.execute_reply":"2023-11-30T12:29:59.913663Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}