Welcome to Rome Bridge

Rome Bridge is an adapter between Feature Stores and Data Science Models. A common interface for feading features to machine learning models helps expidite developement, allow interchangability and reduces the risk involved with accidently feending features into models the wrong way.

Supported Feature Stores

Product	Open Source	Link
AWS Sagemaker Feature Store	No	link
Tecton	No	link
Databrick Feature Store	No	link
Feature Form	No	link
Feast	Yes	link
Vertex AI	No	link
Hopswork	Yes	link
feathr	Yes	link
Rasgo	No	link
Butterfree	Yes	link
Bytehub	Yes	link
Kaskada	No	link
ScribbleData	No	link

Supported Data Science Models

Model	flavor	Link
Rulefit Regressor	sklearn.ensemble.GradientBoostingRegressor	Link
ExtraTrees Regressor	sklearn.ensemble.ExtraTreesRegressor	Link
Random Forest	sklearn.ensemble.RandomForestRegressor	Link
Average Blender	sklearn.linear_model.LogisticRegression	Link
eXtreme Gradient Boosted Trees Regressor	sklearn.ensemble.GradientBoostingRegressor or xgboost	Link Link
Light Gradient Boosted Trees Regressor	lightgbm.ESLGBMTR	Link
Decision Tree Regressor	sklearn.tree.DecisionTreeRegressor	Link
Support Vector Machines	libsvm	Link
Elastic Net Regressor or Ridge Regressor	lightning's CDRegressor	Link
Auto tune kNN Regressor	sklearn.neighbors.KNeighborsRegressor	Link
Breiman and Cutler Random Forest Regressor	R	Link
online gradient descent variant	vowpal wabbit Regressor	Link
Neural Network Regressor	TensorFlow	Link
Generalized Additive Model	LinearGAM	Link
Linear Regression	sklearn.linear_model.LinearRegression	Link