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Fix some ParetoNBDModel docstring typos #731

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merged 3 commits into from
Jun 11, 2024
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Merged

Fix some ParetoNBDModel docstring typos #731

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ce434b4
Removed the comma after Schmittlein
Mews Jun 10, 2024
5d72f49
Added missing reference
Mews Jun 10, 2024
a2e9c99
Removed extra colon
Mews Jun 10, 2024
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6 changes: 3 additions & 3 deletions pymc_marketing/clv/models/pareto_nbd.py
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Expand Up @@ -67,8 +67,8 @@ def local_reduce_max_num_iters_hyp2f1_grad(fgraph, node):
class ParetoNBDModel(CLVModel):
"""Pareto Negative Binomial Model (Pareto/NBD).

Model for continuous, non-contractual customers, first introduced by Schmittlein, et al. [1]_,
with additional derivations and predictive methods by Hardie & Fader [2]_ [3]_ [4]_.
Model for continuous, non-contractual customers, first introduced by Schmittlein et al. [1]_,
with additional derivations and predictive methods by Hardie & Fader [2]_ [3]_ [4]_ [5]_.

The Pareto/NBD model assumes the time duration a customer is active follows a Gamma distribution,
and time between purchases is also Gamma-distributed while the customer is still active.
Expand Down Expand Up @@ -96,7 +96,7 @@ class ParetoNBDModel(CLVModel):
* `purchase_covariates_prior`: Coefficients for purchase rate covariates; defaults to `Normal(0, 3)`
* `dropout_covariates_prior`: Coefficients for dropout covariates; defaults to `Normal.dist(0, 3)`
* `purchase_covariate_cols`: List containing column names of covariates for customer purchase rates.
* `dropout_covariate_cols:`: List containing column names of covariates for customer dropouts.
* `dropout_covariate_cols`: List containing column names of covariates for customer dropouts.

If not provided, the model will use default priors specified in the `default_model_config` class attribute.
sampler_config: dict, optional
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