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When I read your note in markov.py. For feature conversion_feature and null_feature, you have specifically mentioned that
do not pre-aggregate conversions by path as this will effect the outcome of the simulation.
Does this means that the data format for these two features can only be 0 or 1?
I noticed that your implementation is very similar to the original ChannelAttribution R package, but the original R package allows aggregated values (sum) by str_path for these two features. I wonder is there a difference in implementation that resulting the different data requirement?
Thank you in advance for helping me!
The text was updated successfully, but these errors were encountered:
When I read your note in markov.py. For feature conversion_feature and null_feature, you have specifically mentioned that
Does this means that the data format for these two features can only be 0 or 1?
I noticed that your implementation is very similar to the original ChannelAttribution R package, but the original R package allows aggregated values (sum) by str_path for these two features. I wonder is there a difference in implementation that resulting the different data requirement?
Thank you in advance for helping me!
The text was updated successfully, but these errors were encountered: