Rapids wrapper for java TargetEncoder (fit part)
Design:
Due to a stateless nature of the calls from the client we will have to implement target encoding's workflow with two separate calls:
to AstTargetEncoderFit.java and AstTargetEncoderTransform.java
H2O AutoML
AutoML is used for automating the machine learning workflow, which includes automatic training and
tuning of many models within a user-specified time-limit.
Additional metrics for the models in this leaderboard, in the same order as the models
Regression metrics: rmse, mse, mae, and rmsle
Binomial metrics: logloss, mean_per_class_error, rmse, & mse
Multinomial metrics: logloss, mean_per_class_error, rmse, & mse