h2o_predict_binary: H2O Predict using Binary file

In laresbernardo/lares: Analytics & Machine Learning Sidekick

H2O Predict using Binary file

Description

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.

Usage

h2o_predict_binary(df, model_path, sample = NA)

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?

Value

vector with predicted results.

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()

laresbernardo/lares documentation built on April 25, 2024, 5:31 a.m.