Learn R Programming

lares (version 4.7)

export_results: Export h2o_automl's Results

Description

Export RDS, TXT, POJO, MOJO and all results from h2o_automl

Usage

export_results(results, thresh = 10, txt = TRUE, rds = TRUE,
  binary = TRUE, pojo = TRUE, mojo = TRUE, sample_size = 10,
  subdir = NA, save = TRUE)

Arguments

results

Object. h2o_automl output

thresh

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)

txt

Boolean. Do you wish to export the txt results?

rds

Boolean. Do you wish to export the RDS results?

binary

Boolean. Do you wish to export the Binary model?

pojo

Boolean. Do you wish to export the POJO model?

mojo

Boolean. Do you wish to export the MOJO model?

sample_size

Integer. How many example rows do you want to show?

subdir

Character. In which directory do you wish to save the results?

save

Boolean. Do you wish to save/export results?

See Also

Other Machine Learning: ROC, clusterKmeans, conf_mat, gain_lift, h2o_automl, h2o_predict_API, h2o_predict_MOJO, h2o_predict_binary, h2o_predict_model, h2o_selectmodel, impute, iter_seeds, 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, get_credentials, get_currency, h2o_predict_API, h2o_predict_MOJO, h2o_predict_binary, h2o_predict_model, h2o_selectmodel, h2o_update, haveInternet, importxlsx, ip_country, iter_seeds, json2vector, listfiles, mailSend, matrixwd, msplit, myip, pass, quiet, read.file, statusbar, try_require, updateLares, zerovar