Logistic Regression - Model Training Error (H2) NullPointerException
I have a model with a binomial outcome variable. I built it using a decision tree, but would like to try a few other model types. Logistic Regression is the obvious next choice, but when I run it I get: Model training error (H2O). Error while training the H2O model java.lang.NullPointerException. Please check your input data and the parameter setup.
The process is relatively simple - after selecting an even sample, I have an Optimize Selection (Evolutionary) node, within which is a Validation node, and within that is the Logistic Regression node. The input data is a mix of numeric (integer, real, numeric) and polynomial data with no missing data. There are a LOT Of attributes (253) but only 1486 records. The Optimize Selection is intended to prune that down. (The decision tree used 4 of those variables.)
Any insights as to what this error means or what is going wrong? Is there a log file somewhere I need to be looking at?