BaseMMM.__init__

BaseMMM.__init__(date_column, channel_columns, model_config=None, sampler_config=None, **kwargs)

Initializes model configuration and sampler configuration for the model

Parameters:

• data (Dictionary, optional) – It is the data we need to train the model on.

• 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.

Examples

>>> class MyModel(ModelBuilder):
>>>     ...
>>> model = MyModel(model_config, sampler_config)