AlexanderTrg

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that's not the answer)

thnx @ColtAllen checked out pymc-marketing lib. To be honest, I can't find if this is useful for me and close to my question) moreover, that lab uses the same approach...

@ColtAllen, Hi, thanks for the help. Do I understand correctly that calibration_and_holdout_data is not working correctly, while plot_period_transactions is working well? The fact is that the simulation does not include...

update. I meant conditional_expected_number_of_purchases_up_to_time when has speking "calibration_and_holdout_data is not working correctly"

@ColtAllen hello and thnx for your helping could you clarify why are plots so different? ![image](https://github.com/CamDavidsonPilon/lifetimes/assets/37145876/45d15940-43cf-4179-9d32-e2d78dd2a560) and ![image](https://github.com/CamDavidsonPilon/lifetimes/assets/37145876/b7790917-aa6b-4241-a885-b2cd69bd22e6) in the 1 case model predict understates. In the other one overstates....