This function lets the user predict using the h2o binary file. Note that it works with the files generated when using the function export_results(). Recommendation: use the h2o_predict_MOJO() function when possible - it let's you change h2o's version without problem.
Arguments
- df
Dataframe. Data to insert into the model.
- model_path
Character. Relative model path directory or zip file.
- sample
Integer. How many rows should the function predict?
See also
Other Machine Learning:
ROC(),
conf_mat(),
export_results(),
gain_lift(),
h2o_automl(),
h2o_predict_API(),
h2o_predict_MOJO(),
h2o_predict_model(),
h2o_selectmodel(),
impute(),
iter_seeds(),
lasso_vars(),
model_metrics(),
model_preprocess(),
msplit()
Other H2O:
h2o_predict_API(),
h2o_predict_MOJO(),
h2o_predict_model()