Regressors which use NumPy as a numerical backend.
ProductRegressor
Bases: object
object
A class for performing MLE regression by fitting a product distribution to the outputs. A separate regressor will be trained for each individual input distribution.
fit
get_param_values
predict
predict_log_likelihood
sample_predict
set_param_values