lares (version 4.8.4)

iter_seeds: Iterate and Search for Best Seed

Description

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.

Usage

iter_seeds(df, tries = 10)

Arguments

df

Dataframe. Dataframe with all your data you wish to model (see h2o_automl()'s df)

tries

Integer. How many seed do you wish to try?

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_predict_model(), h2o_results(), h2o_selectmodel(), impute(), 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_predict_model(), h2o_selectmodel(), h2o_update(), haveInternet(), image_metadata(), importxlsx(), ip_country(), json2vector(), listfiles(), mailSend(), msplit(), myip(), pass(), quiet(), read.file(), statusbar(), tic(), try_require(), updateLares(), zerovar()