meridian.model.eda.eda_spec.AggregationConfig
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A configuration for customizing variable aggregation functions.
meridian.model.eda.eda_spec.AggregationConfig(
*,
control_variables: AggregationMap = dataclasses.field(default_factory=dict),
non_media_treatments: AggregationMap = dataclasses.field(default_factory=dict)
)
The aggregation function can be called in the form f(x, axis=axis, **kwargs)
to return the result of reducing an np.ndarray over an integer valued axis.
It's recommended to explicitly define the aggregation functions instead of
using lambdas.
Attributes |
control_variables
|
A dictionary mapping control variable names to
aggregation functions. Defaults to np.sum if a variable is not
specified.
|
non_media_treatments
|
A dictionary mapping non-media variable names to
aggregation functions. Defaults to np.sum if a variable is not
specified.
|
Methods
__eq__
__eq__(
other
)
Return self==value.
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Last updated 2025-12-09 UTC.
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