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scverse / pertpy

Perturbation Analysis in the scverse ecosystem.
https://pertpy.readthedocs.io/en/latest/
MIT License
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Got an error when using 'random_forest_regressor' estimator #634

Closed Guo-lingyun closed 1 month ago

Guo-lingyun commented 1 month ago

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Since my data had four timepoints-treated conditions, I tried to use 'random_forest_regressor ' estimator which was described for continuous data in the tutorial: augur = pt.tl.Augur("random_forest_regressor") treat_augur=augur.load(treat,label_col='group',cell_type_col='celltype') treat_augur, treat_augur_results = augur.predict(treat_augur, random_state=None, n_threads=4) However, I got an error in the predicting step: AttributeError: RandomForestRegressor has none of the following attributes: predict_proba.

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Zethson commented 1 month ago

Could you please tell me which versions you used? The issue template is there for a reason. I can help best if you provide all information.

Zethson commented 1 month ago

I assume that your scikit-learn version is old.

Zethson commented 1 month ago

Please report back with more information if he error persists.