Cameron Davidson-Pilon
Cameron Davidson-Pilon
@ReaBx, no, you are mostly right, it is a confusing concept and I get confused sometimes as well. In lifetimes, the definition is: ```python customers['recency'] = (customers['max'] - customers['min']) ```...
Hey @cereusperuv, thanks for the report. Is is possible for you to send the dataset over (email is fine for me), or can you answer the following: 1. what is...
Thanks. Try grouping values together, ex: ``` df_ = df.groupby(["frequency", "recency", "periods"]).size().reset_index() BetaGeoBetaBinomFitter().fit(df_['frequency'], df_['recency'], df_['periods'], weights=df_[0]) ```
Yea, I can reproduce the error locally. I'm playing with it now. If you are stuck, try downgrading to lifetimes 0.10.1
Heya, I think I know what you mean, but do you have a screenshot of your idea?
Hey @jhurliman, the correct answer is 1. The implemented model only allows for repeat purchases. The docs [here](http://lifetimes.readthedocs.io/en/latest/Quickstart.html#estimating-customer-lifetime-value-using-the-gamma-gamma-model) do the filtering you suggest, too.
http://psychbrief.com/dont-analyse-ordinal-like-interval-ratio/
Hey, it's still pretty alpha. I haven't even designed a v1 API yet.
treat this more as a repository of "examples" than a working library :)
Great, thanks @miemiekurisu. This is pymc4, correct?