Computed the Mean Absolute Percentage Error between the daily differences of prediction between a previous train and a current train true/pre

Computed the Mean Absolute Percentage Error between the daily differences of prediction between a previous train and a current train true/pre

Computed the Mean Absolute Percentage Error between the daily differences of prediction between a previous train and a current train true/pre

Compute the sign of the Mean Percentage Error, mainly to know if we're constantly over or undershooting :param y_true: list of true historica

Compute the sign of the Mean Percentage Error, mainly to know if we're constantly over or undershooting :param y_true: list of true historica

Compute the sign of the Mean Percentage Error, mainly to know if we're constantly over or undershooting :param y_true: list of true historica

Compute the sign of the Mean Percentage Error, mainly to know if we're constantly over or undershooting :param y_true: list of true historica

Converts dates from the dataframe with raw policies implemented in the US :param raw_date: a certain date string in a raw format :return:

Converts dates from the dataframe with raw policies implemented in the US :param raw_date: a certain date string in a raw format :return:

Converts dates from the dataframe with raw policies implemented in the US :param raw_date: a certain date string in a raw format :return:

Creates the parameters dataset with the results from the optimization and the pre-computed MAPE :param mape: MAPE on the last 15 days

Creates the parameters dataset with the results from the optimization and the pre-computed MAPE :param mape: MAPE on the last 15 days

Creates two dataframes with the predictions of the DELPHI model, the first one since the day of the prediction, the second since the

Creates two dataframes with the predictions of the DELPHI model, the first one since the day of the prediction, the second since the

Creates two dataframes with the predictions of the DELPHI model, the first one since the day of the prediction, the second since the

Creates a dataset in the right format (with values for all 16 states of the DELPHI model) for the Optimal Vaccine Allocation team

Creates a dataset in the right format (with values for all 16 states of the DELPHI model) for the Optimal Vaccine Allocation team

Creates a dataset in the right format (with values for all 16 states of the DELPHI model) for the Optimal Vaccine Allocation team

Generates the prediction datasets from the date with 100 cases and from the day of running, including columns containing Confidence I

Generates the prediction datasets from the date with 100 cases and from the day of running, including columns containing Confidence I

Generates the format of the dictionary that will compose the dataframe with all backtest metrics based on the get_mae and get_mse fla

Generates the format of the dictionary that will compose the dataframe with all backtest metrics based on the get_mae and get_mse fla

Generates the format of the dictionary that will compose the dataframe with all backtest metrics based on the get_mae and get_mse fla

Aggregates policy predictions at the continent level from the predictions dataframe :param df_policy_predictions: DELPHI policy predi

Aggregates policy predictions at the continent level from the predictions dataframe :param df_policy_predictions: DELPHI policy predi

Aggregates policy predictions at the continent level from the predictions dataframe :param df_policy_predictions: DELPHI policy predi

Aggregates policy predictions at the continent level from the predictions dataframe :param df_policy_predictions: DELPHI policy predi

Aggregates policy predictions at the country level from the predictions dataframe :param df_policy_predictions: DELPHI policy predict

Aggregates policy predictions at the country level from the predictions dataframe :param df_policy_predictions: DELPHI policy predict

Aggregates policy predictions at the country level from the predictions dataframe :param df_policy_predictions: DELPHI policy predict

Aggregates policy predictions at the country level from the predictions dataframe :param df_policy_predictions: DELPHI policy predict