Export RDS, TXT, POJO, MOJO and all results from h2o_automl().
export_results(
results,
thresh = 10,
which = c("txt", "csv", "rds", "binary", "mojo", "plots", "dev", "production"),
note = NA,
subdir = NA,
save = TRUE,
seed = 0
)No return value, called for side effects.
h2o_automl or h2o model
Integer. Threshold for selecting binary or regression models: this number is the threshold of unique values we should have in 'tag' (more than: regression; less than: classification)
Character vector. Select which file format to export: Possible values: txt, csv, rds, binary, mojo, plots. You might also use dev (txt, csv, rds) or production (binary, mojo) or simply don't use parameter to export everything
Character. Add a note to the txt file. Useful when lots of models are trained and saved to remember which one is which one
Character. In which directory do you wish to save the results?
Boolean. Do you wish to save/export results?
Numeric. For reproducible results and random splits.
Other Machine Learning:
ROC(),
conf_mat(),
gain_lift(),
h2o_automl(),
h2o_predict_MOJO(),
h2o_selectmodel(),
impute(),
iter_seeds(),
lasso_vars(),
model_metrics(),
model_preprocess(),
msplit()
Other Tools:
autoline(),
bind_files(),
bring_api(),
chr2num(),
db_download(),
db_upload(),
export_plot(),
files_functions(),
font_exists(),
formatColoured(),
formatHTML(),
get_credentials(),
glued(),
grepm(),
h2o_selectmodel(),
haveInternet(),
image_metadata(),
importxlsx(),
ip_data(),
json2vector(),
list_cats(),
listfiles(),
mail_send(),
markdown2df(),
move_files(),
msplit(),
myip(),
quiet(),
read.file(),
statusbar(),
tic(),
try_require(),
updateLares(),
warnifnot(),
what_size()