diff --git a/Cargo.toml b/Cargo.toml
index a19222a..3d5ccaa 100644
--- a/Cargo.toml
+++ b/Cargo.toml
@@ -1,6 +1,6 @@
 [package]
 name = "forust-ml"
-version = "0.2.25"
+version = "0.2.26"
 edition = "2021"
 authors = ["James Inlow <james.d.inlow@gmail.com>"]
 homepage = "https://github.com/jinlow/forust"
diff --git a/README.md b/README.md
index a9d17b1..6f717a8 100644
--- a/README.md
+++ b/README.md
@@ -29,7 +29,7 @@ pip install forust
 
 To use in a rust project add the following to your Cargo.toml file.
 ```toml
-forust-ml = "0.2.25"
+forust-ml = "0.2.26"
 ```
 
 ## Usage
diff --git a/py-forust/Cargo.toml b/py-forust/Cargo.toml
index 4267dc0..da31aac 100644
--- a/py-forust/Cargo.toml
+++ b/py-forust/Cargo.toml
@@ -1,6 +1,6 @@
 [package]
 name = "py-forust"
-version = "0.2.25"
+version = "0.2.26"
 edition = "2021"
 
 # See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
@@ -10,7 +10,7 @@ crate-type = ["cdylib"]
 
 [dependencies]
 pyo3 = { version = "0.19.0", features = ["extension-module"] }
-forust-ml = { version = "0.2.25", path = "../" }
+forust-ml = { version = "0.2.26", path = "../" }
 numpy = "0.19.0"
 ndarray = "0.15.1"
 serde_plain = { version = "1.0" }
diff --git a/rs-example.md b/rs-example.md
index a5e5f48..9216f22 100644
--- a/rs-example.md
+++ b/rs-example.md
@@ -3,7 +3,7 @@
 To run this example, add the following code to your `Cargo.toml` file.
 ```toml
 [dependencies]
-forust-ml = "0.2.25"
+forust-ml = "0.2.26"
 polars = "0.28"
 reqwest = { version = "0.11", features = ["blocking"] }
 ```
diff --git a/src/splitter.rs b/src/splitter.rs
index 646fce9..dff58b9 100644
--- a/src/splitter.rs
+++ b/src/splitter.rs
@@ -396,14 +396,22 @@ impl Splitter for MissingBranchSplitter {
                 (right_weight * right_hessian + left_weight * left_hessian)
                     / (right_hessian + left_hessian)
             }
-            MissingNodeTreatment::None => constrained_weight(
-                &self.get_l2(),
-                missing_gradient,
-                missing_hessian,
-                lower_bound,
-                upper_bound,
-                constraint,
-            ),
+            MissingNodeTreatment::None => {
+                // If there are no missing records, just default
+                // to the parent weight.
+                if missing_hessian == 0. || missing_gradient == 0. {
+                    parent_weight
+                } else {
+                    constrained_weight(
+                        &self.get_l2(),
+                        missing_gradient,
+                        missing_hessian,
+                        lower_bound,
+                        upper_bound,
+                        constraint,
+                    )
+                }
+            }
         };
         let missing_gain = gain_given_weight(
             &self.get_l2(),