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.
Perhaps my inexperience with GAM in general, but the know locations seem to come out of nowhere, and I don't understand how this behaves when the columns are factors. The formula interface in mgcv makes it very easy and clear how to specify different spline types and I suppose that I am just used to the automatic know selection that it offers.
We need to:
explain how to define splines types
how to define knot points. Can we do this automatically like R?
User expressed the following with Erin LeDell:
Perhaps my inexperience with GAM in general, but the know locations seem to come out of nowhere, and I don't understand how this behaves when the columns are factors. The formula interface in mgcv makes it very easy and clear how to specify different spline types and I suppose that I am just used to the automatic know selection that it offers.
We need to: