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Functions675 in github.com/COVIDAnalytics/DELPHI

⨍ Functions 675◇ Types & classes 63
Functionmodel_covid_predictions
SEIR + Undetected, Deaths, Hospitalized, corrected with ArcTan response curve alpha: Infection rate
archive/V1 - No Jump/DELPHI_policy_predictions_international_V1.py:155
Functionmodel_covid_predictions
SEIR + Undetected, Deaths, Hospitalized, corrected with ArcTan response curve alpha: Infection rate
archive/Adaptive Policy Model - Continuous Retraining/DELPHI_model_cr_with_policies.py:591
Functionmodel_covid_predictions
SEIR + Undetected, Deaths, Hospitalized, corrected with ArcTan response curve alpha: Infectio
archive/Adaptive Policy Model - Continuous Retraining/DELPHI_policy_predictions_international_with_cr.py:238
Functionmodel_covid_predictions
SEIR based model with 16 distinct states, taking into account undetected, deaths, hospitalized and re
archive/V3 Model/DELPHI_model_V3_with_policies.py:185
Functionmodel_covid_predictions
SEIR + Undetected, Deaths, Hospitalized, corrected with ArcTan response curve alpha:
archive/Other Analyses/DELPHI_secondwave.py:193
Functionmse
(y_true, y_pred)
archive/V1 - No Jump/DELPHI_utils.py:627
Functionmse
(y_true, y_pred)
archive/Other Analyses/DELPHI_utils_secondwave.py:629
Functionpredict_area
Parallelizable version of the solving process for DELPHI V4, this function is called with multiprocessing :param tuple_area_: tuple correspon
DELPHI_model_V4_predict.py:70
Functionpredict_area
Parallelizeable function to predict and save all parameters and model states :param tuple_area_: tuple corresponding to (continent, country,
archive/V3 Model/DELPHI_model_V3_predict.py:67
Functionread_measures_oxford_data
(yesterday: str)
KIT/DELPHI_utils_KIT.py:729
Functionread_measures_oxford_data
(yesterday: str)
CDC/DELPHI_utils_CDC.py:728
Functionread_measures_oxford_data
(yesterday: str)
archive/Test Models for V3/Normal Jump + Trust Solver/DELPHI_utils_V3_trust.py:756
Functionread_measures_oxford_data
(yesterday: str)
archive/Test Models for V3/Normal Jump + Trust Solver/DELPHI_utils_V3_annealing.py:946
Functionread_measures_oxford_data
(yesterday: str)
archive/Test Models for V3/ArcTan Jump/DELPHI_utils_V4.py:756
Functionread_measures_oxford_data
(yesterday: str)
archive/Test Models for V3/Discrete Jump/DELPHI_utils_V2.py:754
Functionread_measures_oxford_data
()
archive/backtesting_archived/DELPHI_backtest_utils_ventilator.py:811
Functionread_measures_oxford_data
(yesterday: str)
archive/Other Analyses/DELPHI_utils_secondwave.py:801
Functionread_oxford_international_policy_data
Reads the policy data from the Oxford dataset online and processes it to obtain the MECE policies for all other countries than the US :pa
Connecticut/DELPHI_utils_CT_dynamic.py:394
Functionread_policy_data_us_only
Reads and processes the policy data from IHME to obtain the MECE policies defined for DELPHI Policy Predictions :param filepath_data_sandbox:
Connecticut/DELPHI_utils_CT_dynamic.py:343
Functionread_policy_data_us_only
(filepath_data_sandbox: str)
KIT/DELPHI_utils_KIT.py:686
Functionread_policy_data_us_only
(filepath_data_sandbox: str)
CDC/DELPHI_utils_CDC.py:685
Functionread_policy_data_us_only
(filepath_data_sandbox: str)
archive/Test Models for V3/Normal Jump + Trust Solver/DELPHI_utils_V3_trust.py:713
Functionread_policy_data_us_only
(filepath_data_sandbox: str)
archive/Test Models for V3/Normal Jump + Trust Solver/DELPHI_utils_V3_annealing.py:903
Functionread_policy_data_us_only
(filepath_data_sandbox: str)
archive/Test Models for V3/ArcTan Jump/DELPHI_utils_V4.py:713
Functionread_policy_data_us_only
(filepath_data_sandbox: str)
archive/Test Models for V3/Discrete Jump/DELPHI_utils_V2.py:711
Functionread_policy_data_us_only
()
archive/backtesting_archived/DELPHI_backtest_utils_ventilator.py:690
Functionread_policy_data_us_only
(filepath_data_sandbox: str)
archive/Other Analyses/DELPHI_utils_secondwave.py:758
Functionresiduals_totalcases
Function that makes sure the parameters are in the right range during the fitting process and computes the loss funct
DELPHI_model_V4.py:284
Functionresiduals_totalcases
Function that makes sure the parameters are in the right range during the fitting process and computes the loss function depending on
Connecticut/DELPHI_model_HHC.py:178
Functionresiduals_totalcases
Function that makes sure the parameters are in the right range during the fitting process and computes the loss funct
Connecticut/DELPHI_model_CT.py:271
Functionresiduals_totalcases
Wanted to start with solve_ivp because figures will be faster to debug params: (alpha, days, r_s, r_dth, p_dth, k1, k
KIT/DELPHI_model_KIT.py:203
Functionresiduals_totalcases
Wanted to start with solve_ivp because figures will be faster to debug params: (alpha, days, r_s, r_dth, p_dth, k1, k
CDC/DELPHI_model_CDC.py:203
Functionresiduals_totalcases
Wanted to start with solve_ivp because figures will be faster to debug params: (alpha, days, r_s, r_dth, p_dth, k1, k
archive/V1 - No Jump/DELPHI_model.py:181
Functionresiduals_totalcases
Wanted to start with solve_ivp because figures will be faster to debug params: (alpha, days, r_s, r_dth, p_dth, k1, k
archive/Test Models for V3/Normal Jump + Trust Solver/DELPHI_model_V3_trust.py:186
Functionresiduals_totalcases
Wanted to start with solve_ivp because figures will be faster to debug params: (alpha, days, r_s, r_dth, p_dth, k1, k
archive/Test Models for V3/Normal Jump + Trust Solver/DELPHI_model_V3_annealing.py:206
Functionresiduals_totalcases
Wanted to start with solve_ivp because figures will be faster to debug params: (alpha, days, r_s, r_dth, p_dth, k1, k
archive/Test Models for V3/ArcTan Jump/DELPHI_model_V4.py:200
Functionresiduals_totalcases
Wanted to start with solve_ivp because figures will be faster to debug params: (alpha, days, r_s, r_dth, p_dth, k1, k
archive/Test Models for V3/Discrete Jump/DELPHI_model_V2.py:189
Functionresiduals_totalcases
Wanted to start with solve_ivp because figures will be faster to debug params: (alpha, days, r_s, r_dth, p_dt
archive/backtesting_archived/DELPHI_backtest_model_ventilator.py:198
Functionresiduals_totalcases
Wanted to start with solve_ivp because figures will be faster to debug params: (alpha, days, r_s, r_dth, p_dth, k1, k
archive/Adaptive Policy Model - Continuous Retraining/DELPHI_model_cr_with_policies.py:526
Functionresiduals_totalcases
Function that makes sure the parameters are in the right range during the fitting process and computes the loss funct
archive/V3 Model/DELPHI_model_V3_serology.py:284
Functionresiduals_totalcases
Function that makes sure the parameters are in the right range during the fitting process and computes the loss funct
archive/V3 Model/DELPHI_model_V3.py:276
Functionresiduals_totalcases
Wanted to start with solve_ivp because figures will be faster to debug params: (alpha, days, r_s, r_dth, p_dth, k1, k
archive/Other Analyses/DELPHI_model_with_testing_US_only.py:229
Methodsave_all_datasets
Saves the parameters and predictions datasets (since 100 cases and since the day of running) based on the different flags and the inp
DELPHI_utils_V4_static.py:58
Methodsave_all_datasets
(self, save_since_100_cases=False, website=False)
archive/Test Models for V3/Normal Jump + Trust Solver/DELPHI_utils_V3_annealing.py:28
Methodsave_all_datasets
(self, save_since_100_cases=False, website=False)
archive/Test Models for V3/ArcTan Jump/DELPHI_utils_V4.py:27
Methodsave_all_datasets
(self, save_since_100_cases=False, website=False)
archive/Test Models for V3/Discrete Jump/DELPHI_utils_V2.py:27
Methodsave_all_datasets
Saves the parameters and predictions datasets (since 100 cases and since the day of running) based on the different flags and the inp
archive/V3 Model/DELPHI_utils_V3_static_serology.py:35
Methodsave_all_datasets
(self, save_since_100_cases=False, website=False)
archive/Other Analyses/DELPHI_utils_secondwave.py:30
Methodsave_all_datasets
(self, save_since_100_cases=False, website=False)
archive/Other Analyses/DELPHI_utils_new.py:27
Methodsave_all_datasets_continuous_retraining
(self, save_since_100_cases=False, website=False)
archive/Other Analyses/DELPHI_utils_secondwave.py:61
Methodsave_policy_predictions_to_dict_pickle
(self, website=False, local_delphi=False)
KIT/DELPHI_utils_KIT.py:86
Methodsave_policy_predictions_to_dict_pickle
(self, website=False, local_delphi=False)
CDC/DELPHI_utils_CDC.py:86
Methodsave_policy_predictions_to_dict_pickle
(self, website=False, local_delphi=False)
archive/Test Models for V3/Normal Jump + Trust Solver/DELPHI_utils_V3_trust.py:113
Methodsave_policy_predictions_to_dict_pickle
(self, website=False, local_delphi=False)
archive/Test Models for V3/Normal Jump + Trust Solver/DELPHI_utils_V3_annealing.py:111
Methodsave_policy_predictions_to_dict_pickle
(self, website=False, local_delphi=False)
archive/Test Models for V3/ArcTan Jump/DELPHI_utils_V4.py:113
Methodsave_policy_predictions_to_dict_pickle
(self, website=False, local_delphi=False)
archive/Test Models for V3/Discrete Jump/DELPHI_utils_V2.py:113
Methodsave_policy_predictions_to_dict_pickle
(self, website=False)
archive/backtesting_archived/DELPHI_backtest_utils_ventilator.py:127
Methodsave_policy_predictions_to_dict_pickle
(self, website=False, local_delphi=False)
archive/Other Analyses/DELPHI_utils_secondwave.py:141
Methodsave_policy_predictions_to_dict_pickle
(self, website=False, local_delphi=False)
archive/Other Analyses/DELPHI_utils_new.py:109
Methodsave_policy_predictions_to_json
Saves the policy predictions as a JSON file based on the different flags :param website: boolean, whether or not we want to save the
Connecticut/DELPHI_utils_CT_static.py:129
Methodsave_policy_predictions_to_json
Saves the policy predictions as a JSON file based on the different flags :param website: boolean, whether or not we want to save the
archive/V3 Model/DELPHI_utils_V3_static_serology.py:97
Functionsolve_and_predict_area
Parallelizable version of the fitting & solving process for DELPHI V4, this function is called with multiprocessing :param tuple_area_: tuple
DELPHI_model_V4.py:86
Functionsolve_and_predict_area
Parallelizable version of the fitting & solving process for DELPHI V4, this function is called with multiprocessing :param tuple_area_: tuple
Connecticut/DELPHI_model_CT.py:82
Functionsolve_and_predict_area
( tuple_area_: tuple, yesterday_: str, allowed_deviation_: float, pastparameters_: pd.DataFrame, past_
KIT/DELPHI_model_KIT.py:39
Functionsolve_and_predict_area
( tuple_area_: tuple, yesterday_: str, allowed_deviation_: float, pastparameters_: pd.DataFrame, past_
CDC/DELPHI_model_CDC.py:39
Functionsolve_and_predict_area
( tuple_area_: tuple, yesterday_: str, allowed_deviation_: float, pastparameters_: pd.DataFrame, )
archive/Test Models for V3/Normal Jump + Trust Solver/DELPHI_model_V3_trust.py:37
Functionsolve_and_predict_area
( tuple_area_: tuple, yesterday_: str, allowed_deviation_: float, pastparameters_: pd.DataFrame, )
archive/Test Models for V3/Normal Jump + Trust Solver/DELPHI_model_V3_annealing.py:38
Functionsolve_and_predict_area
( tuple_area_: tuple, yesterday_: str, allowed_deviation_: float, pastparameters_: pd.DataFrame, )
archive/Test Models for V3/ArcTan Jump/DELPHI_model_V4.py:41
Functionsolve_and_predict_area
( tuple_area_: tuple, yesterday_: str, allowed_deviation_: float, pastparameters_: pd.DataFrame, )
archive/Test Models for V3/Discrete Jump/DELPHI_model_V2.py:41
Functionsolve_and_predict_area
( tuple_area: tuple, yesterday_: str, df_policy_change_tracking_world_: pd.DataFrame, dict_nor
archive/Adaptive Policy Model - Continuous Retraining/DELPHI_model_cr_with_policies.py:43
Functionsolve_and_predict_area
Parallelizable version of the fitting & solving process for DELPHI V3, this function is called with multiprocessing :param tuple_area_: tuple
archive/V3 Model/DELPHI_model_V3_serology.py:98
Functionsolve_and_predict_area
Parallelizable version of the fitting & solving process for DELPHI V3, this function is called with multiprocessing :param tuple_area_: tuple
archive/V3 Model/DELPHI_model_V3.py:99
Functiontranslate_days
(number_of_days)
archive/V1 - No Jump/DELPHI_params.py:40
Functionupdate_gamma_t_with_fitted_params
()
archive/Adaptive Policy Model - Continuous Retraining/DELPHI_policies_utils_cr.py:314
Functionvisualize_tree
(sktree)
archive/Other Analyses/DELPHI_postmortem.py:97
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