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Its pretty cool that I can define my own loss function and gradient for xgboost, and then use the linear, tree, or dart base learners to optimize my loss function.
It'd be really cool if I could sp…
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Hello,
I'm working on a small proof of concept. I use dask in my project and would like to use the XGBClassifier. I also need a parameter search and, of course, cross-validation mechanisms.
Unfo…
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This is a feature request for computing the expected output of the model when only a subset of features are present.
We have a use case where we would like to observe the expected output of the mod…
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Would you mind tell me the results of your model?Thank you!
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**Describe the issue**:
I was originally getting the exact same error message as Jreyno40 on #770. I then upgraded dask and dask-ml and ended up getting a different error when fitting the logisti…
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Problem:
lightgbm and xgboost mistakenly predict class probabilities
https://github.com/microsoft/LightGBM/issues/2107
LightGBM people really gave up: they even cheating by closing issues about…
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Add method for working with Local ID and Nested Forecast Ensembles.
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### Describe the workflow you want to enable
The histogram gradient boosted decision trees usually do not fulfil the so called *balance property* on the training data, i.e. `sum([proba]predictions) =…
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*Context*:
AutoML is currently spending most of its time on exploration, and even though the {{learning_rate}} is sometimes too high or too low: cf. [https://0xdata.atlassian.net/browse/PUBDEV-6293|ht…
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I want to draw SHAP partial dependence plots with regression lines + and histograms.
I am using kernal explainer for multioutput regression as a wrapper models for xgboost / lgbm/ xgbr/ RF/ etc.
…