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hi, i followed the steps for installing but it failed with the following error
ERROR: Command errored out with exit status 1:
command: 'C:\Users\USER1\anaconda3\python.exe' -c 'import sys, set…
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Hi @Magdoll,
I'm running the ANGEL v3.0 with the example data and I got the following error:
`$angel_predict.py test.fa MCF7_2015.dumb.final.training.pickle test_angel
Reading classifer pickle: M…
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here is the code to replicate the issue:
inp = np.array([[-1, -1],
[-2, -1],
[1, 1],
[2, 1]])
model = sklearn.ensemble.RandomForestCl…
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Running package tests results in the following error (python version 3.6.12, sklearn 0.24.1, numpy 1.17.5, scipy 1.4.1, cython 0.29.22, pydotplus 2.0.2, matplotlib 3.0.3, jupyter 1.0.0, pyyaml 5.4.1):…
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For trees and tree ensembles that perform multiclass classification or multitarget regression and have separate trees for different targets it's maybe more informative to view feature importances per …
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Collaborative effort of the @neurodata lab, under the directions of @jovo.
### Describe the workflow you want to enable
The current `sklearn.tree` module is designed for batch learning only and …
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For benchmark datasets, plot:
1. Ensemble OOB error vs L (avg nonzeros per projection) and mtry, where line width indicates value of mtry.
2. Individual tree OOB errors vs individual tree avg projecti…
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As far as I can tell, the `loss` parameter is only exposed for single trees. I think this would be pretty easy to add to the ensemble models.
Issue raised at #211.
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So, after a few days double-testing the updated version, after fitting any model, for example the [RF one](https://monoensemble.readthedocs.io/en/latest/auto_examples/basic_example_RF/basic_example_rf…
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> **New Functions**
- [ ] Explore variable selection based on univariate model performance, see [Oeser et al., 2024](https://onlinelibrary.wiley.com/doi/10.1111/geb.13911)
- [ ] New function to calc…