diff --git a/rubicon_ml/schema/registry.py b/rubicon_ml/schema/registry.py
index 5b436709..2dc69955 100644
--- a/rubicon_ml/schema/registry.py
+++ b/rubicon_ml/schema/registry.py
@@ -12,6 +12,9 @@
     "h2o__H2OGradientBoostingEstimator": lambda: _load_schema(
         os.path.join("schema", "h2o__H2OGradientBoostingEstimator.yaml")
     ),
+    "h2o__H2ORandomForestEstimator": lambda: _load_schema(
+        os.path.join("schema", "h2o__H2ORandomForestEstimator.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__H2OGradientBoostingEstimator.yaml b/rubicon_ml/schema/schema/h2o__H2OGradientBoostingEstimator.yaml
index 3652649a..6690c89e 100644
--- a/rubicon_ml/schema/schema/h2o__H2OGradientBoostingEstimator.yaml
+++ b/rubicon_ml/schema/schema/h2o__H2OGradientBoostingEstimator.yaml
@@ -102,20 +102,20 @@ parameters:
     value_attr: pred_noise_bandwidth
   - name: quantile_alpha
     value_attr: quantile_alpha
-  - name: response_column
-    value_attr: response_column
   - name: r2_stopping
     value_attr: r2_stopping
+  - name: response_column
+    value_attr: response_column
   - name: sample_rate
     value_attr: sample_rate
   - name: sample_rate_per_class
     value_attr: sample_rate_per_class
-  - name: seed
-    value_attr: seed
   - name: score_each_iteration
     value_attr: score_each_iteration
   - name: score_tree_interval
     value_attr: score_tree_interval
+  - name: seed
+    value_attr: seed
   - name: stopping_metric
     value_attr: stopping_metric
   - name: stopping_rounds
diff --git a/rubicon_ml/schema/schema/h2o__H2ORandomForestEstimator.yaml b/rubicon_ml/schema/schema/h2o__H2ORandomForestEstimator.yaml
new file mode 100644
index 00000000..aa859f67
--- /dev/null
+++ b/rubicon_ml/schema/schema/h2o__H2ORandomForestEstimator.yaml
@@ -0,0 +1,104 @@
+name: h2o__H2ORandomForestEstimator
+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#h2orandomforestestimator
+
+parameters:
+  - name: auc_type
+    value_attr: auc_type
+  - name: balance_classes
+    value_attr: balance_classes
+  - name: binomial_double_trees
+    value_attr: binomial_double_trees
+  - name: build_tree_one_node
+    value_attr: build_tree_one_node
+  - name: calibrate_model
+    value_attr: calibrate_model
+  - name: calibration_method
+    value_attr: calibration_method
+  - name: categorical_encoding
+    value_attr: categorical_encoding
+  - name: check_constant_response
+    value_attr: check_constant_response
+  - name: class_sampling_factors
+    value_attr: class_sampling_factors
+  - name: col_sample_rate_change_per_level
+    value_attr: col_sample_rate_change_per_level
+  - name: col_sample_rate_per_tree
+    value_attr: col_sample_rate_per_tree
+  - name: custom_metric_func
+    value_attr: custom_metric_func
+  - name: distribution
+    value_attr: distribution
+  - name: export_checkpoints_dir
+    value_attr: export_checkpoints_dir
+  - name: fold_assignment
+    value_attr: fold_assignment
+  - name: fold_column
+    value_attr: fold_column
+  - name: gainslift_bins
+    value_attr: gainslift_bins
+  - name: histogram_type
+    value_attr: histogram_type
+  - name: ignore_const_cols
+    value_attr: ignore_const_cols
+  - name: ignored_columns
+    value_attr: ignored_columns
+  - name: keep_cross_validation_fold_assignment
+    value_attr: keep_cross_validation_fold_assignment
+  - name: keep_cross_validation_models
+    value_attr: keep_cross_validation_models
+  - name: keep_cross_validation_predictions
+    value_attr: keep_cross_validation_predictions
+  - name: max_after_balance_size
+    value_attr: max_after_balance_size
+  - name: max_confusion_matrix_size
+    value_attr: max_confusion_matrix_size
+  - name: max_depth
+    value_attr: max_depth
+  - name: max_runtime_secs
+    value_attr: max_runtime_secs
+  - name: min_rows
+    value_attr: min_rows
+  - name: min_split_improvement
+    value_attr: min_split_improvement
+  - name: mtries
+    value_attr: mtries
+  - name: nbins
+    value_attr: nbins
+  - name: nbins_cats
+    value_attr: nbins_cats
+  - name: nbins_top_level
+    value_attr: nbins_top_level
+  - name: nfolds
+    value_attr: nfolds
+  - name: ntrees
+    value_attr: ntrees
+  - name: offset_column
+    value_attr: offset_column
+  - name: r2_stopping
+    value_attr: r2_stopping
+  - name: response_column
+    value_attr: response_column
+  - name: sample_rate
+    value_attr: sample_rate
+  - name: sample_rate_per_class
+    value_attr: sample_rate_per_class
+  - name: score_each_iteration
+    value_attr: score_each_iteration
+  - name: score_tree_interval
+    value_attr: score_tree_interval
+  - name: seed
+    value_attr: seed
+  - name: stopping_metric
+    value_attr: stopping_metric
+  - name: stopping_rounds
+    value_attr: stopping_rounds
+  - name: stopping_tolerance
+    value_attr: stopping_tolerance
+  - name: weights_column
+    value_attr: weights_column
diff --git a/tests/integration/test_schema.py b/tests/integration/test_schema.py
index 9a0ec663..c6051b6f 100644
--- a/tests/integration/test_schema.py
+++ b/tests/integration/test_schema.py
@@ -4,6 +4,7 @@
 from h2o import H2OFrame
 from h2o.estimators.gbm import H2OGradientBoostingEstimator
 from h2o.estimators.glm import H2OGeneralizedLinearEstimator
+from h2o.estimators.random_forest import H2ORandomForestEstimator
 from lightgbm import LGBMClassifier, LGBMRegressor
 from sklearn.ensemble import RandomForestClassifier
 from xgboost import XGBClassifier, XGBRegressor
@@ -12,6 +13,7 @@
 H2O_SCHEMA_CLS = [
     H2OGeneralizedLinearEstimator,
     H2OGradientBoostingEstimator,
+    H2ORandomForestEstimator,
 ]
 PANDAS_SCHEMA_CLS = [
     LGBMClassifier,