def _get_initial_regret(
self,
context: 'Context',
function: AbstractFunction,
) -> NoReturn:
""" get the regret only from the starting samples
:param context: context to analyze
:param function: target function
:return:
"""
y_opt = function.evaluate_scaled(function.get_maxima_x())[0]
self.data_dict[COLUMNS.REGRET].append(self._get_regret_of_samples(context, 0, y_opt))
def _get_regret(self, context: 'Context', step: int, data: pd.DataFrame, function: AbstractFunction) -> NoReturn:
"""calls the functions to get the regret of the samples and of the proposed samples
and save it to the data dict
:param context: context to analyze
:param step: step to analyze
:param data: dataframe
:param function: target function
:return:
"""
y_opt = function.evaluate_scaled(function.get_maxima_x())[0]
self.data_dict[COLUMNS.REGRET].append(
np.min([self._get_regret_of_new_arg_max(context, step, y_opt, data, function), self._get_regret_of_samples(context, step, y_opt)]))
def _get_initial_regret_last(
self,
context: 'Context',
function: AbstractFunction,
data: pd.DataFrame,
tot_steps: int
) -> NoReturn:
"""get the regret only from the starting samples for last step
:param context: context to analyze
:param function: target function
:param data: dataframe
:param tot_steps: total number of Bo-steps assigned to the BO run
:return:
"""
y_opt = function.evaluate_scaled(function.get_maxima_x())[0]
self.data_dict[COLUMNS.END_REGRET].append(self._get_regret_of_samples(context, tot_steps, y_opt))
def _get_regret_last(
self,
context: 'Context',
step: int,
data: pd.DataFrame,
function: AbstractFunction,
tot_steps: int
) -> NoReturn:
"""get the regret after the last step and store it in the data dict
:param context: context to analyze
:param step: step to analyze
:param data: dataframe
:param function: target function
:param tot_steps: total number of Bo-steps assigned to the BO run
:return:
"""
y_opt = function.evaluate_scaled(function.get_maxima_x())[0]
self.data_dict[COLUMNS.END_REGRET].append(
np.min([self._get_regret_of_new_arg_max(context, step, y_opt, data, function), self._get_regret_of_samples(context, tot_steps, y_opt)]))