tune
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tidymodels
Tools for tidy parameter tuning
For `retain` and `log_changes`, we might want to pass them in from the tune functions. For logging, there is some interest in seeing the changes within resamples. Using `retain =...
## Feature **Background:** While attending the Advanced Tidymodels workshop at the Posit Conference in 2023, I observed that the `.config` column in the output of the `collect_metrics()` function contains names...
PR 3/3, closes #652. Follows up on tidymodels/parsnip#955 and tidymodels/workflows#199. ``` r library(tidymodels) library(propensity) propensity_wf % fit_resamples( outcome_wf, resamples = ., control = control_resamples(extract = tidy) ) res_tm %>% collect_extracts()...
## Feature In many situations `tidymodels` is primarily interactive data analysis and model fitting, where the user will in real time explore the data, preprocess, choose a model, bundle it...
I recently really struggled to use nested resampling in combination with workflowsets and fitting them using `workflow_map` and `fit_resamples` for hyperparameter tuning. I could not get all the bits and...
I've found that cross validation fails with a difficult-to-understand error message (see figure for example) when the predictor variables contain missing entries. I think it's right to throw an error...
## The problem I'm having trouble with coord_obs_pred() function on log scale. It seems when plotting on log scale, the data are trimed. ## Reproducible example ``` r library(tune) library(ggplot2)...
When some of the metrics can't be computed –as in the example below with SVM which can't compute `roc_auc`–, fitting (e.g. `last_fit`) and tuning (e.g. `tune_grid`) methods say that the...
Hello, Let's say I am making an xgboost model where all my data is numeric, like in the [tuning](https://www.tmwr.org/tuning.html) chapter of TMwR book. I can use the `finalize` (~~`finalise`~~, oops)...
