Covid-19传播预测:按国家和俄罗斯地区进行的自动Covid-19短期短期传播预测

时间:2024-02-21 09:24:19
【文件属性】:

文件名称:Covid-19传播预测:按国家和俄罗斯地区进行的自动Covid-19短期短期传播预测

文件大小:753KB

文件格式:ZIP

更新时间:2024-02-21 09:24:19

xgboost gbm predictions covid-19 lag-features

Covid-19传播预测 全自动代码,可在未来几天(默认为7天)为每个国家和每个俄罗斯地区的“确认”和“死亡”病例创建Covid-19预测。 解决方案在SberBank的第一次巡回“”比赛中获得第二名。 要求 Python 3.5,pandas,numpy,xgboost,lightgbm,catboost 怎么跑 生成国家预测(总计:169) python prepare_features_countries/r1_download_new_data_countries.py # python prepare_features_countries/r2_update_today_data_countries.py # Optional (only if you really need current day) python prepare_features_countries/r3_convert_timeseries_countries.py python prepare_features_countries/r5_get_first_case_date_countries.p


【文件预览】:
Covid-19-spread-prediction-master
----input()
--------time_series_covid19_confirmed_RU.csv(26KB)
--------sample_submission_dDoEbyO.csv(1.2MB)
--------additional()
--------timedata()
--------countries.csv(17KB)
--------cases_country_latest.csv(19KB)
--------russia_regions.csv(14KB)
--------sample_submission_JgJvhOF.csv(1.7MB)
--------time_series_covid19_deaths_RU.csv(23KB)
----a1_common_functions.py(17KB)
----r1_create_merged_submission.py(5KB)
----prepare_features_rus()
--------r2_update_today_data_rus.py(4KB)
--------r1_download_new_data_rus.py(4KB)
--------r3_convert_timeseries_rus.py(11KB)
--------r5_get_first_case_date_rus.py(2KB)
--------r4_convert_additional_data_to_features.py(912B)
----prepare_features_countries()
--------r3_convert_timeseries_countries.py(5KB)
--------r1_download_new_data_countries.py(2KB)
--------r5_get_first_case_date_countries.py(3KB)
--------r2_update_today_data_countries.py(2KB)
--------r4_convert_additional_data_to_features.py(4KB)
----README.md(4KB)
----gbm_classifiers_regions()
--------r3_run_catboost_regions.py(12KB)
--------a0_read_data.py(13KB)
--------r4_gen_averaged_submit.py(6KB)
--------r5_check_test_data.py(3KB)
--------r2_run_lightgbm_regions.py(14KB)
--------r1_run_xgboost_regions.py(14KB)
----a0_settings.py(2KB)
----gbm_classifiers_countries()
--------r3_run_catboost_countries.py(12KB)
--------r1_run_xgboost_countries.py(14KB)
--------r2_run_lightgbm_countries.py(13KB)
--------a0_read_data.py(10KB)
--------r4_gen_averaged_submit.py(5KB)
--------r5_check_test_data.py(2KB)

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