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()