update measure_interactions default parameters to match the default E…

…BM parameters
interpretml · Jan 26, 2025 · 2c0b04f · 2c0b04f
1 parent 3e81055
commit 2c0b04f
Show file tree

Hide file tree

Showing 2 changed files with 4 additions and 3 deletions.
diff --git a/README.md b/README.md
@@ -597,6 +597,7 @@ We also build on top of many great packages. Please check them out!
 - [Machine Learning Model Interpretability using AzureML & InterpretML (Explainable Boosting Machine)](https://www.youtube.com/watch?v=0ocVtXU8o1I)
 - [A Case Study of Using Explainable Boosting Machines](https://uncch.hosted.panopto.com/Panopto/Pages/Embed.aspx?id=063d6839-e8db-40e0-8df4-b0fc012e709b&start=0)
 - [From SHAP to EBM: Explain your Gradient Boosting Models in Python](https://www.youtube.com/watch?v=hnZjw77-1rE)
+- [Rich Caruana – Friends Don’t Let Friends Deploy Black-Box Models](https://www.youtube.com/watch?v=2YKtNYBuojE)
 
 # External links
 

diff --git a/python/interpret-core/interpret/utils/_measure_interactions.py b/python/interpret-core/interpret/utils/_measure_interactions.py
@@ -38,9 +38,9 @@ def measure_interactions(
     sample_weight=None,
     feature_names=None,
     feature_types=None,
-    max_interaction_bins=32,
-    min_samples_leaf=2,
-    min_hessian=1e-3,
+    max_interaction_bins=64,
+    min_samples_leaf=4,
+    min_hessian=1e-4,
     reg_alpha=0.0,
     reg_lambda=0.0,
     max_delta_step=0.0,