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.
For example, nbins_cats is not in the list of:
private static String[] MODIFIABLE_BY_CHECKPOINT_FIELDS = new String[] { "_ntrees", "_max_depth", "_min_rows", "_r2_stopping"};
But when I do when I do this:
model1 = h2o.gbm(x=cars[predictors],y=cars[response_col],ntrees=10,max_depth=2, min_rows=10,distribution=distribution)
the below fails to fail
model = h2o.gbm(y=cars[response_col],x=cars[predictors],nbins_cats=99,distribution=distribution,checkpoint=model1._id)
same for nbins, balance_classes, and nfolds parameters