mplot_full and mpolt_importance errors

[pangka]

Thank you for the lares:h2o_automl fix. Worked through your blog examples. Dalex examples work fine. Two issues:

1. lares::mplot_full(tag = results$score$tag, score = results$scores$score, subtitle = "Titanic dataset")

throws this error:" Error in grouped_df_impl(data, unname(vars), drop) : Column tag is unknown"

2. lares::mplot_importance(var = results$importance$variable, imp = results$importance$percentage, subtitle = "Titanic dataset")

throws this error: "The variables and importance values vectors should be the same length. Currently, there are 6 variables and 0 importance values! Error in lares::mplot_importance(var = results$importance$variable, imp = results$importance$percentage, :"

[laresbernardo]

Yes @pangka, it is the same issue as before.. the object created when you ran the h2o_automl returns a list. The object you need is called results$scores_test$tag instead of results$scores$tag; the same for score.

On the second plot, you need results$importance$importance instead of results$importance$percentage. That is why the error message says that the length of the second value is 0.

It is working just fine for the library but the post is a bit old and some things have changed. I will edit the post so no one else have this same issue.

Post: https://datascienceplus.com/understanding-titanic-dataset-with-h2os-automl-dalex-and-lares-library/

Feel free to write back if needed!

[pangka]

Ahh, thank you. Works fine. Great graphs.

On Sun, Nov 11, 2018 at 7:22 AM laresbernardo notifications@github.com wrote:

Yes @pangka https://github.com/pangka, it is the same issue as before.. the object created when you ran the h2o_automl returns a list. The object you need is called results$scores_test$tag instead of results$scores$tag; the same for score. On the second plot, you need results$importance$importance instead of results$importance$percentage. That is why the error message says that the length of the second value is 0. It is working just fine for the library but the post is a bit old and some things have changed. I will edit the post so no one else have this same issue. Post: https://datascienceplus.com/understanding-titanic-dataset-with-h2os-automl-dalex-and-lares-library/

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[laresbernardo]

Glad I could help @pangka Cheers!