Specify 0.9.0 as deprecation version for recent MMM changes

README.md

@@ -72,22 +72,26 @@ Leverage our Bayesian MMM API to tailor your marketing strategies effectively. L
 
 ```python
 import pandas as pd
-from pymc_marketing.mmm import MMM
+
+from pymc_marketing.mmm import (
+    GeometricAdstock,
+    LogisticSaturation,
+    MMM,
+)
 
 data_url = "https://raw.githubusercontent.com/pymc-labs/pymc-marketing/main/data/mmm_example.csv"
 data = pd.read_csv(data_url, parse_dates=["date_week"])
 
 mmm = MMM(
-    adstock="geometric",
-    saturation="logistic",
+    adstock=GeometricAdstock(l_max=8),
+    saturation=LogisticSaturation(),
     date_column="date_week",
     channel_columns=["x1", "x2"],
     control_columns=[
         "event_1",
         "event_2",
         "t",
     ],
-    adstock_max_lag=8,
     yearly_seasonality=2,
 )
 ```
@@ -111,9 +115,6 @@ Once the model is fitted, we can further optimize our budget allocation as we ar
 
 Explore a hands-on [simulated example](https://pymc-marketing.readthedocs.io/en/stable/notebooks/mmm/mmm_example.html) for more insights into MMM with PyMC-Marketing.
 
-${\color{red}\textbf{Warning!}}$ We will deprecate the `DelayedSaturatedMMM` class in the next releases.
-Please use the `MMM` class instead.
-
 ### Essential Reading for Marketing Mix Modeling (MMM)
 
 - [Bayesian Media Mix Modeling for Marketing Optimization](https://www.pymc-labs.com/blog-posts/bayesian-media-mix-modeling-for-marketing-optimization/)

pymc_marketing/mmm/components/adstock.py

@@ -332,7 +332,10 @@
             l_max=l_max, normalize=normalize, mode=mode, priors=priors, prefix=prefix
         )
 
-        msg = f"Use the Weibull{kind}Adstock class instead for better default priors."
+        msg = (
+            f"Use the Weibull{kind}Adstock class instead for better default priors. "
+            "This class will deprecate in 0.9.0."
+        )
         warnings.warn(
             msg,
             UserWarning,
@@ -383,8 +386,13 @@
             )
 
         if kwargs:
+            msg = (
+                "The preferred method of initializing a "
+                "lagging function is to use the class directly. "
+                "String support will deprecate in 0.9.0."
+            )
             warnings.warn(
-                "The preferred method of initializing a lagging function is to use the class directly.",
+                msg,
                 DeprecationWarning,
                 stacklevel=1,
             )

pymc_marketing/mmm/delayed_saturated_mmm.py

@@ -173,8 +173,12 @@
         self.adstock_first = adstock_first
 
         if adstock_max_lag is not None:
+            msg = (
+                "The `adstock_max_lag` parameter is deprecated and will be removed in 0.9.0. "
+                "Use the `adstock` parameter directly"
+            )
             warnings.warn(
-                "The `adstock_max_lag` parameter is deprecated. Use `adstock` directly",
+                msg,
                 DeprecationWarning,
                 stacklevel=1,
             )
@@ -2242,8 +2246,13 @@
         Warns that MMM class should be used instead and returns an instance of MMM with
         geometric adstock and logistic saturation.
         """
+        msg = (
+            "The DelayedSaturatedMMM class is deprecated and "
+            "will be removed in 0.9.0. "
+            "Please use the MMM class instead."
+        )
         warnings.warn(
-            "The DelayedSaturatedMMM class is deprecated. Please use the MMM class instead.",
+            msg,
             DeprecationWarning,
             stacklevel=1,
         )

tests/mmm/test_delayed_saturated_mmm.py

@@ -1000,8 +1000,10 @@ def test_add_lift_test_measurements_no_model() -> None:
 
 
 def test_delayed_saturated_mmm_raises_deprecation_warning() -> None:
+    match = "The DelayedSaturatedMMM class is deprecated and will be removed in 0.9.0"
     with pytest.warns(
-        DeprecationWarning, match="The DelayedSaturatedMMM class is deprecated"
+        DeprecationWarning,
+        match=match,
     ):
         DelayedSaturatedMMM(
             date_column="date",