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Hi,
I'd like the ability to install btyd through anaconda and conda forge. I was wondering if you are planning to or are open to the idea of creating a conda receipe for this. I could also take a …
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Hi,
I am trying to reproduce the google clv prediction documentation. I see in this file within load data function, there is summary dataframe and actual dataframe which is used for calculating erro…
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Thanks for this package and it helps us with lot of interesting info about customer churn, expected purchase orders and revenue etc.
For our business, it is especially useful to know whether the cu…
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`lifetimes` has a utility function for validating inputs prior to model fitting, which I expanded on in my `btyd` fork for `GammaGammaModel` input validation:
https://github.com/ColtAllen/btyd/blob…
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I'm considering using the RVs in the CLV Distributions module to generate synthetic data for [testing the Pareto/NBD model](https://github.com/pymc-labs/pymc-marketing/issues/127). However, after look…
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The actual and expected repeat transactions are shifted by a period because they currently are (wrongfully) defined differently: Repeat transactions are currently implemented as "forward-looking", ie …
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Hi,
I want to pass custom bound values to the scipy.optimize.minimuze function in the GammaGammaFitter.fit() function, but I get the following error:
btyd.fitters.BaseFitter._fit() got multiple va…
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Both the Beta-Geo/NBD and Pareto/NBD models can be extended rather easily to support time-invariant covariates:
https://www.brucehardie.com/notes/019/time_invariant_covariates.pdf
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Can you add release a new version of the package with python 3.10 support?
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time_days = 126
time_months = int(math.ceil(time_days / 30.0))
#column-selection
summary = f_and_t[['customer_id', 'frequency_btyd', 'recency', 'T',
'monetary_btyd']]
…