From cef8c86cd21ef0c306dde4460a82c30641d40f32 Mon Sep 17 00:00:00 2001
From: Carlos Trujillo <59846724+carlangastr@users.noreply.github.com>
Date: Fri, 29 Sep 2023 23:17:51 +0000
Subject: [PATCH] Adding Experimental note

---
 pymc_marketing/mmm/base.py | 6 +++---
 pyproject.toml             | 2 +-
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/pymc_marketing/mmm/base.py b/pymc_marketing/mmm/base.py
index 0e6fd2a6..7df781df 100644
--- a/pymc_marketing/mmm/base.py
+++ b/pymc_marketing/mmm/base.py
@@ -617,7 +617,7 @@ def plot_budget_scenearios(
         self, *, base_data: Dict, method: str, **kwargs
     ) -> plt.Figure:
         """
-        Plots the budget and contribution bars side by side for multiple scenarios.
+        Experimental: Plots the budget and contribution bars side by side for multiple scenarios.
 
         Parameters
         ----------
@@ -842,7 +842,7 @@ def optimize_channel_budget_for_maximum_contribution(
         parameters: Dict[str, Tuple[float, float]],
     ) -> pd.DataFrame:
         """
-        Optimize the allocation of a given total budget across multiple channels to maximize the expected contribution.
+        Experimental: Optimize the allocation of a given total budget across multiple channels to maximize the expected contribution.
 
         The optimization is based on the method provided, where each channel's contribution
         follows a saturating function of its allocated budget. The function seeks the budget allocation
@@ -896,7 +896,7 @@ def compute_channel_curve_optimization_parameters_original_scale(
         self, method: str
     ) -> Dict:
         """
-        Estimate the parameters for the saturating function of each channel's contribution.
+        Experimental: Estimate the parameters for the saturating function of each channel's contribution.
 
         The function estimates the parameters (alpha, constant) for each channel based on the specified method (either 'sigmoid' or 'michaelis-menten').
         These parameters represent the maximum possible contribution (alpha) and the constant parameter which vary their definition based on the function (constant) for each channel.
diff --git a/pyproject.toml b/pyproject.toml
index fce29b4e..14461308 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -14,7 +14,7 @@ maintainers = [{ name = "PyMC Labs", email = "info@pymc-labs.io" }]
 dependencies = [
     "arviz>=0.13.0",
     "matplotlib>=3.5.1",
-    "numpy>=1.17,<1.25",
+    "numpy>=1.17",
     "pandas",
     # NOTE: Keep minimum pymc version in sync with ci.yml `OLDEST_PYMC_VERSION`
     "pymc>=5.8.2",