diff --git a/rubicon_ml/schema/registry.py b/rubicon_ml/schema/registry.py
index 2dc69955..468da5d3 100644
--- a/rubicon_ml/schema/registry.py
+++ b/rubicon_ml/schema/registry.py
@@ -15,6 +15,9 @@
     "h2o__H2ORandomForestEstimator": lambda: _load_schema(
         os.path.join("schema", "h2o__H2ORandomForestEstimator.yaml")
     ),
+    "h2o__H2OTargetEncoderEstimator": lambda: _load_schema(
+        os.path.join("schema", "h2o__H2OTargetEncoderEstimator.yaml")
+    ),
     "lightgbm__LGBMModel": lambda: _load_schema(os.path.join("schema", "lightgbm__LGBMModel.yaml")),
     "lightgbm__LGBMClassifier": lambda: _load_schema(
         os.path.join("schema", "lightgbm__LGBMClassifier.yaml")
diff --git a/rubicon_ml/schema/schema/h2o__H2OTargetEncoderEstimator.yaml b/rubicon_ml/schema/schema/h2o__H2OTargetEncoderEstimator.yaml
new file mode 100644
index 00000000..1703cd05
--- /dev/null
+++ b/rubicon_ml/schema/schema/h2o__H2OTargetEncoderEstimator.yaml
@@ -0,0 +1,32 @@
+name: h2o__H2OTargetEncoderEstimator
+version: 1.0.0
+
+compatibility:
+  lightgbm:
+    max_version:
+    min_version: 3.44.0.1
+docs_url: https://docs.h2o.ai/h2o/latest-stable/h2o-py/docs/modeling.html#h2otargetencoderestimator
+
+parameters:
+  - name: blending
+    value_attr: blending
+  - name: columns_to_encode
+    value_attr: columns_to_encode
+  - name: data_leakage_handling
+    value_attr: data_leakage_handling
+  - name: fold_column
+    value_attr: fold_column
+  - name: ignored_columns
+    value_attr: ignored_columns
+  - name: inflection_point
+    value_attr: inflection_point
+  - name: keep_original_categorical_columns
+    value_attr: keep_original_categorical_columns
+  - name: noise
+    value_attr: noise
+  - name: response_column
+    value_attr: response_column
+  - name: seed
+    value_attr: seed
+  - name: smoothing
+    value_attr: smoothing
diff --git a/tests/integration/test_schema.py b/tests/integration/test_schema.py
index c6051b6f..1e95ee11 100644
--- a/tests/integration/test_schema.py
+++ b/tests/integration/test_schema.py
@@ -5,6 +5,7 @@
 from h2o.estimators.gbm import H2OGradientBoostingEstimator
 from h2o.estimators.glm import H2OGeneralizedLinearEstimator
 from h2o.estimators.random_forest import H2ORandomForestEstimator
+from h2o.estimators.targetencoder import H2OTargetEncoderEstimator
 from lightgbm import LGBMClassifier, LGBMRegressor
 from sklearn.ensemble import RandomForestClassifier
 from xgboost import XGBClassifier, XGBRegressor
@@ -14,6 +15,7 @@
     H2OGeneralizedLinearEstimator,
     H2OGradientBoostingEstimator,
     H2ORandomForestEstimator,
+    H2OTargetEncoderEstimator,
 ]
 PANDAS_SCHEMA_CLS = [
     LGBMClassifier,