h2o_predict_binary {lares} | R Documentation |
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()