actableai.causal.events package

Submodules

actableai.causal.events.router module

actableai.causal.events.rpy module

actableai.causal.events.types module

class actableai.causal.events.types.Data(*, input_data: list, estimator: str, time_alignment: str, compute_placebos: bool, treatment_start_dates: list, treated_units: list, lib: str)

Bases: pydantic.main.BaseModel

compute_placebos: bool

estimator: str

input_data: list

lib: str

time_alignment: str

treated_units: list

treatment_start_dates: list

class actableai.causal.events.types.OutputLines(x, y, color)

Bases: object

color: list

x: list

y: list

class actableai.causal.events.types.OutputResult(lines, sdid_estimate, weighted_synthdid_controls, time_before_intervention, time_after_intervention, treated_pre_value, treated_post_value, control_pre_value, control_post_value, intercept_offset, counterfactual_value)

Bases: object

control_post_value: float

control_pre_value: float

counterfactual_value: float

intercept_offset: float

lines: actableai.causal.events.types.OutputLines

sdid_estimate: float

time_after_intervention: float

time_before_intervention: float

treated_post_value: float

treated_pre_value: float

weighted_synthdid_controls: actableai.causal.events.types.WeightedSynthdidControls

class actableai.causal.events.types.WeightedSynthdidControls(unit_names, weights)

Bases: object

dimnames: list

weights: list

Module contents