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I'm using XGBoost with lambdaMart as objective (`rank:pairwise`)
the problem with this model is the prediction of the model is a rank for each group and the score the model is giving for each item in…
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Thank you for all the work on this package, it is a fantastic contribution to the ML community!
I have a conceptual question on whether there's a way to use SHAP values to assess the marginal contr…
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### Describe the workflow you want to enable
I'd like to have a feature importance method native to linear models (without L1 penalty) that is calculated on the training set:
```python
clf = Logi…
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We should support Scala 3 with the same API as Scala 2. This way users can easily transition from Scala 2 to Scala 3 without having to change any of their ZIO JSON code.
There are several steps to …
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Read through from c2 - c10 of the books, gathering knowledge asap.
#### Summary
Machine learning has great potential for improving products, processes and research. But computers usually do not …
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**Project proposal: reasoning:**
What about data visualization? What specifically are you going to do? Will you do a heat map with correlation to make sure that variables are not redundant?
What …
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I've been trying to understand the SHAP tool and have been puzzled with two terms: base value and the predicted value.
The documentation vaguely mentions what the base value is. The documentation sa…
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Hi - is there a method to get shapley values for classification problems? The code I tried is below:
> RFC = @load RandomForestClassifier pkg="DecisionTree"
rfc_model = RFC()
rf_machine = machine…
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I've seen two ways for computing Shap values, namely :
```
explainer = shap.TreeExplainer(model)
shap_values = explainer.shap_values(X)
```
for example from this [page](https://shap.readthedocs.…
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**Problem Description**
When using LightgGBM most of the time I use `early_stopping_rounds`, because it gives some additional performance boost. I think it would be desired to have this option also i…