This functions lets the user iterate and search for best seed. Note that if the results change a lot, you are having a high variance in your data.
iter_seeds(df, tries = 10)Dataframe. Dataframe with all your data you wish to model (see h2o_automl's df)
Integer. How many seed do you wish to try?
Other Machine Learning: ROC,
clusterKmeans, conf_mat,
export_results, gain_lift,
h2o_automl, h2o_predict_API,
h2o_predict_MOJO,
h2o_predict_binary,
h2o_predict_model,
h2o_selectmodel, impute,
model_metrics, mplot_conf,
mplot_cuts_error, mplot_cuts,
mplot_density, mplot_full,
mplot_gain, mplot_importance,
mplot_lineal, mplot_metrics,
mplot_response, mplot_roc,
mplot_splits, msplit
Other Tools: autoline,
bindfiles, bring_api,
db_download, db_upload,
export_plot, export_results,
get_credentials,
get_currency,
h2o_predict_API,
h2o_predict_MOJO,
h2o_predict_binary,
h2o_predict_model,
h2o_selectmodel, h2o_update,
haveInternet, importxlsx,
ip_country, json2vector,
listfiles, mailSend,
matrixwd, msplit,
myip, pass,
quiet, read.file,
statusbar, try_require,
updateLares, zerovar