[Scikit-learn-general] Collected Pipeline and meta-estimator issues

In response to #2630 by Jason Rudy, Gaël suggested discussing deficiencies in the Pipeline API as a big picture. He suggested this might lead to a better solution than hacking in each change individually. IMO, this may also be valuable to ensure consensus and understanding, without which we have li

Re: [Scikit-learn-general] Contributing with Kernel partial least squares

Hi, Here is a preliminary results on classification performance of KPLS using a 20 fold cross validation with random splits of 0.5 train and 0.5 test for the digits dataset using SVC, linearSVC and KPLS. I used the same kernel parameters (rbf, gamma=0.001) of this example for SVC and KPLS: http://

Re: [Scikit-learn-general] Decision tree visualization

2013/12/3 Caleb : > Hi everyone, > > Says I have trained a decision tree classifier. And I want to know, for each > node, what is the the feature that is used to split the tree, and what is > the boundary value. How can I approach this problem. > > I notice that the tree object has a export_graphvi

[Scikit-learn-general] Decision tree visualization

Hi everyone, Says I have trained a decision tree classifier. And I want to know, for each node, what is the the feature that is used to split the tree, and what is the boundary value. How can I approach this problem. I notice that the tree object has a export_graphviz method, which export the