H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
I would like to be able to grid search on feature selection in H2O flow using different criteria such as feature importance thresholds > x and top x features.
I would like to be able to grid search on feature selection in H2O flow using different criteria such as feature importance thresholds > x and top x features.