cleverly.validation.GaussianIndependentOutcome

class cleverly.validation.GaussianIndependentOutcome(noise: GaussianNoise = GaussianNoise(mean=0.0, standard_deviation=1.0))

Declare an outcome independent of treatment and adjustment variables.

Parameters:

noiseGaussianNoise

Gaussian law that generates every outcome value.

Methods

GaussianIndependentOutcome.draw(data: Any, *, seed: int) → ndarray

Draw one independent outcome vector.

Parameters:

dataCausalData

Analysis rows that determine the output length.

seedint

Child seed for this draw.

Returns:

ndarray

One generated outcome per analysis row.

Attributes

GaussianIndependentOutcome.adjustment_function: str = 'none'

GaussianIndependentOutcome.family: str = 'gaussian'

GaussianIndependentOutcome.known_effect: float = 0.0

GaussianIndependentOutcome.name: str = 'gaussian_independent_noise'

GaussianIndependentOutcome.noise: GaussianNoise = GaussianNoise(mean=0.0, standard_deviation=1.0)

GaussianIndependentOutcome.noise_law

Return the recorded Gaussian noise declaration.

GaussianIndependentOutcome.treatment_term: str = 'none'