lares (version 4.8.4)

h2o_predict_model: H2O Predict using H2O Model Object

Description

This function lets the user get scores from a H2O Model Object

Usage

h2o_predict_model(df, model)

Arguments

df

Dataframe/Vector. Data to insert into the model

model

H2o Object. Model

See Also

Other Machine Learning: ROC(), clusterKmeans(), conf_mat(), export_results(), gain_lift(), h2o_automl(), h2o_predict_API(), h2o_predict_MOJO(), h2o_predict_binary(), h2o_results(), h2o_selectmodel(), impute(), iter_seeds(), lasso_vars(), model_metrics(), msplit()

Other Tools: autoline(), bindfiles(), bring_api(), db_download(), db_upload(), export_plot(), export_results(), get_credentials(), h2o_predict_API(), h2o_predict_MOJO(), h2o_predict_binary(), h2o_selectmodel(), h2o_update(), haveInternet(), image_metadata(), importxlsx(), ip_country(), iter_seeds(), json2vector(), listfiles(), mailSend(), msplit(), myip(), pass(), quiet(), read.file(), statusbar(), tic(), try_require(), updateLares(), zerovar()