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.
There is not enough flexibility in some of our plotting functions. I would suggest adding a title = NULL argument to all plotting functions so the user can over-write the name. We can also consider adding ... to all plotting functions, which would allow the user to pass along any other plotting arguments as well (if so, update the ticket title).
Example of functions this applies to: {{h2o.partialPlot()}}, {{h2o.std_coef_plot()}}, {{h2o.varimp_plot()}}
There is not enough flexibility in some of our plotting functions. I would suggest adding a title = NULL argument to all plotting functions so the user can over-write the name. We can also consider adding
...
to all plotting functions, which would allow the user to pass along any other plotting arguments as well (if so, update the ticket title).Example of functions this applies to: {{h2o.partialPlot()}}, {{h2o.std_coef_plot()}}, {{h2o.varimp_plot()}}