MaxDiffMixedLogit.__init__#
- MaxDiffMixedLogit.__init__(task_df, items, respondent_id='respondent_id', task_id='task_id', item_col='item_id', best_col='is_best', worst_col='is_worst', random_intercepts=True, reference_item=None, model_config=None, sampler_config=None, non_centered=True, item_attributes=None, utility_formula=None, random_attributes=None, full_covariance=False, lkj_eta=2.0)[source]#
Initialize model configuration and sampler configuration for the model.
- Parameters:
- model_config
Dictionary, optional dictionary of parameters that initialise model configuration. Class-default defined by the user default_model_config method.
- sampler_config
Dictionary, optional dictionary of parameters that initialise sampler configuration. Class-default defined by the user default_sampler_config method.
- model_config
Examples
class MyModel(ModelBuilder): ... model = MyModel(model_config, sampler_config)