Forcing non-negative additional regressor coefficients
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enhancement
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- Python
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Description
Hi!
Thanks for an awesome and easy-to-use package!
I'm currently doing some marketing mix forecasting and was wondering, is their any way (by parameter or transform) to ensure that learned coefficients of additional regressors are nonnegative? It's standard procedure to enforce such constraints in marketing exercises, where the assumption is that increasing marketing spend doesn't _decrease_ sales.
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