Logistic Regression with Google’s AdaNet- Auto Learning Ensemble Framework Motivation AdaNet provides a framework that could automatically produce a high-quality model given an arbitrary set of features and a model search space. In addition, it builds ensembles from productionized TensorFlow models to: Reduce churn, reuse domain knowledge, and conform with business and explainability requirements. The framework is capable of handling datasets containing thousands to billions of examples, in a distributed environment. Several open-source AutoML frameworks, […]
