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lares (version 5.2.13)

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, ...)

Value

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

Arguments

df

Dataframe. Dataframe containing all your data, including the dependent 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 dependent variable or response.

tries

Integer. Number of iterations

...

Additional arguments passed to h2o_automl

See Also

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