This function lets the user predict using the h2o .zip file containing the MOJO files. Note that it works with the files generated when using the function export_results()
Arguments
- df
Dataframe. Data to pass to the model.
- model_path
Character. Relative path of directory where your zip model file is. If multiple zip files are found, first one found will be used.
- method
Character. One of "mojo" or "json".
- batch
Integer. Run n batches at a time for "json" method.
See also
Other Machine Learning:
ROC(),
conf_mat(),
export_results(),
gain_lift(),
h2o_automl(),
h2o_predict_API(),
h2o_predict_binary(),
h2o_predict_model(),
h2o_selectmodel(),
impute(),
iter_seeds(),
lasso_vars(),
model_metrics(),
model_preprocess(),
msplit()
Other H2O:
h2o_predict_API(),
h2o_predict_binary(),
h2o_predict_model()