-
Notifications
You must be signed in to change notification settings - Fork 11
Example commands
python src/augment_datasets.py -s A652 -p A652_R -i A621
python src/augment_datasets.py -s A652 -p A652_N -i A621
python src/augment_datasets.py -s A652 -p A652_N -i A602
python src/augment_datasets.py -s A652 -p A652_N -i A621 A602
python src/augment_datasets.py -s A652 -p A652_N -i A621 A636 A627
python src/augment_datasets.py -s A652 -p A652_R -i A621 A636 A627
python src/augment_datasets.py -s sao_cristovao -p sao_cristovao -i tijuca
python src/augment_datasets.py -s sao_cristovao -p sao_cristovao -i tijuca tijuca_muda saude grajau
python src/augment_datasets.py -s guaratiba -p guaratiba -i tijuca
python src/augment_datasets.py -s guaratiba -p guaratiba -i tijuca tijuca_muda saude grajau
python src/build_datasets.py -s A621 -d R
python src/build_datasets.py -s A621 -d N
python src/build_datasets.py -s A602 -d N
python src/build_datasets.py -s A652 -d N
python src/build_datasets.py -s A652 -d R -sp NEGATIVE
python src/build_datasets.py -s A652 -d R+N -sp NEGATIVE
python src/build_datasets.py -s A652
python src/build_datasets.py -s alto_da_boa_vista
python src/build_datasets.py -s guaratiba
python src/build_datasets.py -s iraja
python src/build_datasets.py -s jardim_botanico
python src/build_datasets.py -s riocentro
python src/build_datasets.py -s santa_cruz
python src/build_datasets.py -s sao_cristovao
python src/build_datasets.py -s vidigal
python src/build_datasets.py -s anchieta
python src/build_datasets.py -s av_brasil_mendanha
python src/build_datasets.py -s bangu
python src/build_datasets.py -s barrinha
python src/build_datasets.py -s campo_grande
python src/build_datasets.py -s cidade_de_deus
python src/build_datasets.py -s copacabana
python src/build_datasets.py -s grajau_jacarepagua
python src/build_datasets.py -s grajau
python src/build_datasets.py -s grande_meier
python src/build_datasets.py -s grota_funda
python src/build_datasets.py -s ilha_do_governador
python src/build_datasets.py -s laranjeiras
python src/build_datasets.py -s madureira
python src/build_datasets.py -s penha
python src/build_datasets.py -s piedade
python src/build_datasets.py -s recreio
python src/build_datasets.py -s rocinha
python src/build_datasets.py -s santa_teresa
python src/build_datasets.py -s saude
python src/build_datasets.py -s sepetiba
python src/build_datasets.py -s tanque
python src/build_datasets.py -s tijuca_muda
python src/build_datasets.py -s tijuca
python src/build_datasets.py -s urca
python src/build_datasets.py -s alto_da_boa_vista
python src/build_datasets.py -s iraja
python src/build_datasets.py -s jardim_botanico
python src/build_datasets.py -s riocentro
python src/build_datasets.py -s santa_cruz
python src/build_datasets.py -s vidigal
python src/preprocess_ws.py -s guaratiba
python src/preprocess_ws.py -s sao_cristovao
python src/preprocess_ws.py -s A652
python src/preprocess_ws.py -s A621
python src/preprocess_ws.py -s A602
python src/preprocess_ws.py -s A636
python src/preprocess_ws.py -s A627
python src/preprocess_gs.py -s alto_da_boa_vista
python src/preprocess_gs.py -s tijuca
python src/preprocess_gs.py -s all
python src/retrieve_ws_inmet.py -s A652 -b 2007 -e 2023 --api_token
python src/retrieve_ws_inmet.py -s A621 -b 2007 -e 2023 --api_token
python src/retrieve_ws_inmet.py -s A627 -b 2018 -e 2023 --api_token
python src/retrieve_ws_inmet.py -s A636 -b 2017 -e 2023 --api_token
python src/retrieve_as.py --station_id SBGL --start_year 2023 --end_year 2023
python src/retrieve_ERA5.py -b 2021 -e 2023
python src/retrieve_ERA5.py -b 2021 -e 2021
python src/gen_sounding_indices.py --input_file ./data/sounding/SBGL_1997_2023.parquet.gzip --output_file ./data/sounding/SBGL_indices_1997_2023.parquet.gzip
python src/train_model.py -p A652_R -t ORDINAL_CLASSIFICATION
python src/train_model.py -p A652_R_A621_A636_A627 -t ORDINAL_CLASSIFICATION
python src/train_model.py -p A652_R -t BINARY_CLASSIFICATION
python src/train_model.py -p A652_N_R -t BINARY_CLASSIFICATION
python src/train_model.py -p A652_N -t ORDINAL_CLASSIFICATION
python src/train_model.py -p A652 -t BINARY_CLASSIFICATION
python src/train_model.py -p guaratiba -t ORDINAL_CLASSIFICATION
python src/train_model.py -p sao_cristovao -t ORDINAL_CLASSIFICATION
python src/train_model.py -p sao_cristovao_tijuca -t ORDINAL_CLASSIFICATION
python src/train_model.py -p guaratiba_tijuca -t ORDINAL_CLASSIFICATION
python src/train_model.py -p A652_N -t BINARY_CLASSIFICATION
python src/train_model.py -p A652_N_A621 -t BINARY_CLASSIFICATION
python src/train_model.py -p A652_N_A602 -t BINARY_CLASSIFICATION
python src/train_model.py -p A652_N_A621_A602 -t BINARY_CLASSIFICATION
python src/train_model.py -p A652_N_A621_A636_A627 -t BINARY_CLASSIFICATION
python src/train_model.py -p A652_R_A621_A636_A627 -t BINARY_CLASSIFICATION
python src/train_model.py -p sao_cristovao_tijuca_tijuca_muda_saude_grajau -t ORDINAL_CLASSIFICATION > sao_cristovao_tijuca_tijuca_muda_saude_grajau.txt