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.
h2o_predict_binary(df, model_path, sample = NA)Dataframe. Data to insert into the model.
Character. Relative model path directory or zip file.
Integer. How many rows should the function predict?
vector with predicted results.
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 Tools:
autoline(),
bind_files(),
bring_api(),
db_download(),
db_upload(),
export_plot(),
export_results(),
get_credentials(),
h2o_predict_API(),
h2o_predict_MOJO(),
h2o_predict_model(),
h2o_selectmodel(),
haveInternet(),
image_metadata(),
importxlsx(),
ip_data(),
json2vector(),
listfiles(),
mail_send(),
msplit(),
myip(),
quiet(),
read.file(),
statusbar(),
tic(),
try_require(),
updateLares(),
zerovar()