schema.processors.marketing_processor.IncrementalOutcomeSpec

Stores parameters needed for processing a model into MarketingAnalysiss.

schema.processors.marketing_processor.IncrementalOutcomeSpec(
    *,
    aggregate_times: bool = True,
    new_data: (analyzer.DataTensors | None) = None,
    media_selected_times: (Sequence[bool] | None) = None,
    include_non_paid_channels: bool = False
)

Attributes
aggregate_times	Boolean. If True, the media summary metrics are aggregated over time. Defaults to True.
new_data	Optional DataTensors container with optional tensors: media, reach, frequency, organic_media, organic_reach, organic_frequency, non_media_treatments and revenue_per_kpi. If None, the incremental outcome is calculated using the InputData provided to the Meridian object. If new_data is provided, the incremental outcome is calculated using the new tensors in new_data and the original values of the remaining tensors. For example, incremental_outcome(new_data=DataTensors(media=new_media) computes the incremental outcome using new_media and the original values of reach, frequency, organic_media, organic_reach, organic_frequency, non_media_treatments and revenue_per_kpi. If any of the tensors in new_data is provided with a different number of time periods than in InputData, then all tensors must be provided with the same number of time periods.
media_selected_times	Optional list containing booleans with length equal to the number of time periods in new_data, if provided. If new_data is provided, media_selected_times can select any subset of time periods in new_data. If new_data is not provided, media_selected_times selects from model's original media data and its length must be equal to the number of time periods in the model's original media data.
include_non_paid_channels	Boolean. If True, the incremental outcome includes non-paid channels. Defaults to False.

Methods

validate

View source

validate()

Checks whether each parameter in the Spec has a valid value.

Raises
ValueError	If any parameter in the Spec has an invalid value.

__eq__

__eq__(
    other
)

Return self==value.

Class Variables
aggregate_times	True
include_non_paid_channels	False
media_selected_times	None
new_data	None