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Hello, the new version of ENMEvaluate can only handle 1 categorical variable, at least when a raster stack is used.
Here is my code:
occs
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Hello,
Thanks for your work on this AutoML package,
**Is GroupKFold-cross-validation supported in AutoGluon Tabular?**
As AutoGluon creating validation sets for internal search of best model and …
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@mjkvaak @BardiaKh
**needed urgent support**
i have multiple binary masks against single image.
i am using augmentation like this:
```
from ImageDataAugmentor.image_data_augmentor import *
SE…
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#### Description
Currently sklearn does not have a stratified group kfold feature. Either we can use stratification or we can use group kfold. However, it would be good to have both.
I …
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I was comparing various resampling methods in caret when I'm a little thrown off by the cross-validation results for "lm" when using k-folds cross validation. Across datasets and seeds, I'm finding mu…
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Hello,
Great package! very easy to use, and it is very effective! :)
I was wondering if it is possible to use custom CVs for random search + feature selection
Thanks!
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Sklearn and dask_ml have cross-validation iterators that enable the mapping of the train and test data subsets onto non-overlapping groups/folds of equal sizes. The performance measure reported by k-f…
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import numpy as np
import pandas as pd
from keras.models import Sequential
from keras.layers import Dense
from keras.wrappers.scikit_learn import KerasClassifier
from keras.utils import np_utils
…
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Hi, thanks for maintaining this package.
Parametrizing ``get_rejection_threshold`` with the ``random_state`` parameter results in an internal error of sklearn. Here is a reproducer:
```python
imp…
adswa updated
3 years ago