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Fix malformed equation in MMM docstring #1085

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Oct 17, 2024
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4 changes: 2 additions & 2 deletions pymc_marketing/mmm/mmm.py
Original file line number Diff line number Diff line change
Expand Up @@ -808,9 +808,9 @@ class MMM(
we consider a Bayesian linear model of the form:

.. math::
y_{t} = \\alpha + \\sum_{m=1}^{M}\\beta_{m}f(x_{m, t}) + \\sum_{c=1}^{C}\\gamma_{c}z_{c, t} + \\varepsilon_{t},
y_{t} = \alpha + \sum_{m=1}^{M}\beta_{m}f(x_{m, t}) + \sum_{c=1}^{C}\gamma_{c}z_{c, t} + \varepsilon_{t},

where :math:`\\alpha` is the intercept, :math:`f` is a media transformation function and :math:`\\varepsilon_{t}` is the error therm
where :math:`\alpha` is the intercept, :math:`f` is a media transformation function and :math:`\varepsilon_{t}` is the error therm
which we assume is normally distributed. The function :math:`f` encodes the contribution of media on the target variable.
Typically we consider two types of transformation: adstock (carry-over) and saturation effects.

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