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### Don't use GitHub Issues to ask support questions.
Good afternoon!
I just wanted to ask if anyone knows how could I have an `intermediate_values` plot with no data (see the attached figure)
I …
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I am running into some issues while using XGBoost algorithm to solve a classification problem.
in particular, for tuning XGBoost parameters: The approach I want to use is to change one parameter at …
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### ML-Crate Repository (Proposing new issue)
:red_circle: Disease prediction model with GUI (Machine Learning) :
:red_circle: predicting diseases from the symptoms provided by the user :
:red_circ…
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### Week 1 - Get to know the community
- [X] Join the communication channels
- [X] Open a GitHub issue (this one!)
- [x] Install the Ersilia Model Hub and test the simplest model
- [x] Write a motiva…
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Problem: Which to do incremental training
catboost version: latest
Operating System: any
I know in XGBoost the training params has a `process_type` which can be set to `update` giving optimal inc…
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# What is Ray 2.0?
Ray 2.0 (ETA: August this year) will improve on the Ray 1.x line in three major ways:
- **Usability**: Ease-of-use improvements include new observability tooling, improving the …
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### Algorithm
`xgboost` for counts and ranks
### Package
`xgboost`
### Supported types
* [x] classif
* [x] regr
* [ ] surv
* [ ] dens
### I have checked that this is not already i…
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I am running pycaret 2.2 on databricks, when I run the command
tuned_lr=tune_model(lr,n_iter=50,optimize='AUC',search_library='tune-sklearn',search_algorithm='hyperopt')
I get the following erro…
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Catboost produces a TreeEnsemble has no "num_nodes" error with this code. Btw do you support a background dataset parameter, like in shap for "interventional" vs "tree_path_dependent"? Because if your…
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I'm getting this exception since today, with a codebase I've used for months without any issues before.
Same dataset and settings work without problem in _Explain_ mode
```
from supervised.automl…