MVITS.sample

MVITS.sample(X, y, random_seed=None, sample_prior_predictive_kwargs=None, fit_kwargs=None, sample_posterior_predictive_kwargs=None)

Sample all the things.

Run all of the sample methods in the sequence:

• sample_prior_predictive()

• fit()

• sample_posterior_predictive()

• calculate_counterfactual()

Parameters:

Xpd.DataFrame

The data for the existing products.

ynp.ndarray | pd.Series

The data for the new product.

random_seednp.random.Generator | int, optional

The random seed for each stage of sampling.

sample_prior_predictive_kwargsdict, optional

The keyword arguments for the sample_prior_predictive method.

fit_kwargsdict, optional

The keyword arguments for the fit method.

sample_posterior_predictive_kwargsdict, optional

The keyword arguments for the sample_posterior_predictive method.

Returns:

Self

The model instance.