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docs: Update model_builder.py to resolve warning in documentation build #797

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Jun 30, 2024
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docs: Update model_builder.py to resolve warning in documentation build #797

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8 changes: 4 additions & 4 deletions pymc_marketing/model_builder.py
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Original file line number Diff line number Diff line change
Expand Up @@ -505,7 +505,7 @@ def predict(
for each input row is the expected output value, computed as the mean of MCMC samples.

Parameters
---------
----------
X_pred : array-like if sklearn is available, otherwise array, shape (n_pred, n_features)
The input data used for prediction.
extend_idata : Boolean determining whether the predictions should be added to inference data object.
Expand Down Expand Up @@ -553,7 +553,7 @@ def sample_prior_predictive(
Sample from the model's prior predictive distribution.

Parameters
---------
----------
X_pred : array, shape (n_pred, n_features)
The input data used for prediction using prior distribution.
samples : int
Expand Down Expand Up @@ -605,7 +605,7 @@ def sample_posterior_predictive(
Sample from the model's posterior predictive distribution.

Parameters
---------
----------
X_pred : array, shape (n_pred, n_features)
The input data used for prediction using prior distribution..
extend_idata : Boolean determining whether the predictions should be added to inference data object.
Expand Down Expand Up @@ -687,7 +687,7 @@ def predict_posterior(
Generate posterior predictive samples on unseen data.

Parameters
---------
----------
X_pred : array-like if sklearn is available, otherwise array, shape (n_pred, n_features)
The input data used for prediction.
extend_idata : Boolean determining whether the predictions should be added to inference data object.
Expand Down