lares (version 5.1.0)

iter_seeds: Iterate Seeds on AutoML

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, y, tries = 10, ...)

Arguments

df

Dataframe. Dataframe containing all your data, including the independent variable labeled as 'tag'. If you want to define which variable should be used instead, use the y parameter.

y

Variable or Character. Name of the independent variable.

tries

Integer. Number of iterations

...

Additional arguments passed to h2o_automl

Value

data.frame with performance results by seed tried on every row.

See Also

Other Machine Learning: ROC(), conf_mat(), export_results(), gain_lift(), h2o_automl(), h2o_predict_API(), h2o_predict_MOJO(), h2o_predict_binary(), h2o_predict_model(), h2o_selectmodel(), impute(), lasso_vars(), model_metrics(), model_preprocess(), msplit()