Re: [Scikit-learn-general] Stacking Classifier

all classifiers get the same data. We > need to think about how and if we want to support > passing different representations to the different classifiers. Or is that > just ``FeatureUnion``? > > > On 12/15/2015 10:22 PM, Dan Shiebler wrote: > > Hello, > > I have some

[Scikit-learn-general] Stacking Classifier

Hello, I have some code and tests written for a StackingClassifier that has an sklearn-like interface and is compatible with sklearn classifiers. The classifier contains methods to easily train classifiers on different transformations of the same data and train a meta-classifier on the classifier

Re: [Scikit-learn-general] Dynamic Time Warping Contribution

What about adding the option for users to pass in a callable "lower bound" function to a nearest neighbor search? Then users could use things like the LB Keogh lower bound On Mon, Dec 7, 2015 at 9:04 AM, Gael Varoquaux < gael.varoqu...@normalesup.org> wrote: > > hello pandora's box ;) > > I

Re: [Scikit-learn-general] Dynamic Time Warping Contribution

I don't have any DTW code written, but I could definitely prototype how a lower bound callable might get incorporated into sklearn On Mon, Dec 7, 2015 at 5:28 PM, Stéfan van der Walt wrote: > On Mon, Dec 7, 2015 at 6:04 AM, Gael Varoquaux >

[Scikit-learn-general] Dynamic Time Warping Contribution

Hello, I’m not sure if this is the correct place to send this. If it is not, could you please direct me to the best place? Thank you. I’d like to add a dynamic time warping metric to sklearn.neighbors.DistanceMetric. Dynamic time warping is one of the most used distance metrics for time series,