forester
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ModelOriented
Trees are all you need
Hello, The installation somewhat does not work. By running devtools::install_github("ModelOriented/forester") or remotes::install_github("ModelOriented/forester"), it appears: Error: Failed to install 'unknown package' from GitHub: Line starting 'VignetteBuild ...' is malformed! I am...
Instead of overriding the `base::save()` function, could you just give yours a new name like `forester_save()` or something like that? Otherwise you break the user's ability to save R objects...
The `metric_function` can't be used as a loss function in hyperparameter optimization - it would be useful to be able to use this function in this process as well.
Related to #65 I found information that Spearman correlation coefficient is used for numerical variables and Cramer's V for categorical ones. It would be nice to be able to set...
The output of the `train()` function should have its own class in addition to `list` and the `print.___output_class__()` function should be overloaded to print some kind of summary (a few...
Not an issue, just a question: can "catboost" be run on GPU when found among the training engines? It seems to be taking the longest time to train. Maybe adding...
There seems to be no obvious reason for having both `train()` and `train_models()` present in package. They both seem to serve the same purpose.
Seems that `check_data()` is _y-aware_ and y = NULL does not work for `survival` training: ``` > train(fertility, time = 'age', status = 'diagnosis') ✔ Type guessed as: survival ✔...
[binary_report_short.pdf](https://github.com/user-attachments/files/17880445/binary_report_short.pdf) Attached is the Report on results of `train()` on a 10000-row unbalanced sample dataset for binary classification. Target column is "type". The data is proprietary. Here is the code...
Running the example under `predict_new()` documentation with the "Price" target variable removed from new data throws this error: ``` > out preds traceback() 5: stop("undefined columns selected") 4: `[.data.frame`(xgboost_data, ,...