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()
h2o_predict_MOJO(df, model_path, sample = NA)Dataframe. Data to insert into the model
Character. Relative model_path directory
Integer. How many rows should the function predict?
Other Machine Learning: ROC,
clusterKmeans, conf_mat,
export_results, gain_lift,
h2o_automl, h2o_predict_API,
h2o_predict_binary,
h2o_predict_model,
h2o_selectmodel, impute,
iter_seeds, model_metrics,
mplot_conf, mplot_cuts_error,
mplot_cuts, mplot_density,
mplot_full, mplot_gain,
mplot_importance,
mplot_lineal, mplot_metrics,
mplot_response, mplot_roc,
mplot_splits, msplit
Other Tools: autoline,
bindfiles, bring_api,
db_download, db_upload,
export_plot, export_results,
get_credentials,
get_currency,
h2o_predict_API,
h2o_predict_binary,
h2o_predict_model,
h2o_selectmodel, h2o_update,
haveInternet, importxlsx,
ip_country, iter_seeds,
json2vector, listfiles,
mailSend, matrixwd,
msplit, myip,
pass, quiet,
read.file, statusbar,
try_require, updateLares,
zerovar