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it will cause leakage to simply use the average of target in target encoding. probably it's better to use KFold in TargetEncoder.
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Recently, I notice the changes of `loo` function, so I suggest updating output from `loo(fit1,fit2)` and giving more explanation in README.md
Here is output from my R console, for example
```r
…
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Hi I got this type of error Could you please help me
stimator = KerasClassifier(build_fn=baseline_model, epochs=5, batch_size=100, verbose=0)
kfold = StratifiedKFold(n_splits=5, shuffle=True, rando…
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I have no detailed knowledge of the GCP inner working. When exactly is HP Tuning"called" when using keras. If you use a validation accuracy is it first performed when `model.evaluate()` is called? I a…
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#### Description
Error while combining a KerasClassifier and Scikit-Learn Classifier into an ensemble using VotingClassifier(). Although Keras proveds a scikit-learn wrapper, which allows a…
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I want to show train_score on a sklearn.model_selection.cross-validation .
```
cv = KFold(n_splits=10, shuffle=True, random_state=0)
result = cross_validate(testmodel, X, y, cv=cv)
```
On sciki…
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Figure 3 cannot be reproduced as cross_validation.KFold is depricated. Will the script be updated?
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(array([14000, 14001, 14002, ..., 69997, 69998, 69999]), array([ 0, 1, 2, ..., 13997, 13998, 13999]))
(array([ 0, 1, 2, ..., 69997, 69998, 69999]), array([14000, 14001, 14002, .…
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First of all, my regards to the authors/contributors for sharing this great library.
Secondly, my issue arises if I try to create new instances of the `algorithms.LevenbergMarquardt` class.
After …
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If we enable sample weights in DML then we need to have a weighted lasso implementation and a weighted lasso CV implementation, where both the fitting and the cross validation splitting take into acco…