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## Description
Allow users to write their own classifiers.
## Scenario
If a user wanted to try using a different classifier, such as SVM or Gradient Boosted Trees, they would be able to by wr…
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https://explained.ai/rf-importance/
Are you aware of this method and its benefits?
https://scikit-learn.org/stable/modules/generated/sklearn.inspection.permutation_importance.html?highlight=perm…
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I'm using RandomForestLearner to train a 10-class categorization model using roughly 15000 examples and 12 features. My example set is imbalanced in terms of category distribution, so I need to use cl…
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I am reading through skopt's docs and it seems like there might be a typo in the description for both `gbrt_minimize` and `forest_minimize`.
**gbrt_minimize:**
```
Gradient boosted regression tr…
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Hi,
many thanks for your very useful, nicely built and intuitive tool, really. You've said somewhere that maybe forestFloor may handle boosted trees from xgboost, do you have any news regarding this …
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https://blog.tensorflow.org/2021/05/introducing-tensorflow-decision-forests.html
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I'm curious what folks would think about adding use case-specific pages to the Dask docs. Specifically, I was thinking about pages for machine learning and workflow orchestration where there is an esp…
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Hello - as I understand it, Catboost currently only supports CrossEntropy loss for CatboostClassifier. This is somewhat contrary to how other state-of-the-art gradient boosted decision trees operate (…
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import tensorflow.contrib.eager as tfe
When I enter the above cmd in spyder3, I get the error of "ModuleNotFoundError: No module named 'tensorflow.contrib'". How can I solve this problem?
my Sy…
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I was wondering if it where possible to develop an new booster, that instead of taking the mean of values inside a leaf instead fitted a linear function. In cases of lower numbers a features its possi…