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I am very new to Keras. That said, I am trying to avoid using Scikit's pipeline code since it is relatively slower than using the keras network.
```python
estimators = []
estimators.append(('stan…
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Hi guys
I want to get the output of "base level" and save, could it be possible?
for example:
sclf2 = StackingClassifier(classifiers=[xgb_model[0],
xgb_mo…
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As highlighted in this [notebook](http://nbviewer.ipython.org/urls/raw.github.com/ogrisel/notebooks/master/Non%2520IID%2520cross-validation.ipynb) the current implementation of `StratifiedKFold` (whic…
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Want to remove `kfold_cv` and replace with `get_folds`. User can specify what type of cross validation they wish to carry out. Different cross-validation methods can then be added.
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If I run a simple fit using, for example:
```
cv = StratifiedKFold(n_folds=2,y=y)
decoder = SpaceNetClassifier(cv=cv, memory="nilearn_cache", penalty='tv-l1', memory_level=2, n_jobs=2, verbose=1…
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Hello,
Thanks so much for your great work on scikit-plot. I've found it quite useful in my ML workflows.
I'm wondering: I work with imbalanced datasets pretty frequently, so it's important for m…
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I have asked on [StackOverflow](http://stackoverflow.com/questions/36271166/how-to-get-comparable-and-reproducible-results-from-logisticregressioncv-and-gri?noredirect=1#comment60268059_36271166) befo…
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i m doing cross validation .the following code as shown.what;s error in this because it gives an error plz solve this issue..
from sklearn.cross_validation import KFold
def run_cv(X,y,clf_class,…
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I think [this example](http://scikit-learn.org/stable/auto_examples/model_selection/plot_nested_cross_validation_iris.html) of nested cross validation (from the main site) isn't implementing nested cr…
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This reproduces a [question](http://stackoverflow.com/q/24406937/938408) from StackOverflow.
The following code runs fine with smaller test samples, like 10^5 for n_samples. At least for the number b…