Comments (3)
cerlymarco
commented on May 25, 2024
https://towardsdatascience.com/explainable-ai-with-linear-trees-7e30a6f067d7
If you support the project don't forget to leave a star ;-)
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unnamed-idea
commented on May 25, 2024
hello, your link does not include the code to get the coefficients of the each of the leaf estimators (eg linear regression). Can you elaborate on this subject?
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cerlymarco
commented on May 25, 2024
At the bottom of the post, click to "CHECK MY GITHUB REPOSITORY".
The notebook you are interested in is: https://github.com/cerlymarco/MEDIUM_NoteBook/tree/master/ModelTrees_Explainability
If you support the project don't forget to leave a star ;-)
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Related Issues (20)
- Which traversing method does linear tree use to find the left and right node ? HOT 1
- Why does each leaf node return three arrays of coefficients ?
- Why the loss is always 0 for every Linear Tree regression model I run ? HOT 1
- Potential bug in LinearForestClassifier 'predict_proba' HOT 1
- Allow the hyperparameter "max_depth = 0". HOT 4
- How to get the coef_ and intercept_ according to the threshold HOT 2
- Error when running with multiple jobs: unexpected keyword argument 'target_offload' HOT 3
- How to gridsearch tree and regression parameters? HOT 1
- Linear Boosting will it work for categorical features? HOT 3
- numpy deprecation warning HOT 1
- [Question] HOT 1
- [Question] Are there plans for multivariate models? HOT 1
- How to quote your work? HOT 1
- Rationale for rounding during _parallel_binning_fit and _grow HOT 2
- Non coherent splitting results HOT 2
- Have precision of threshold be customizable HOT 4
- [performance suggestions?]Parallelism btw trees and replace linear fit to SGD with batch? HOT 2
- LinearTree does not fit well HOT 3
- LinearForestRegressor may give biased coefficients for base estimator HOT 3
- Maximum Slope limiter HOT 1
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