Am 30.11.2012 17:31, schrieb Andreas Mueller: > Am 30.11.2012 16:58, schrieb Philipp Singer: >> Hey again! >> >> Today is my posting day, hope you don't bother, but I just stumbled upon >> a further problem. >> >> I currently use a grid search strtaifiedkfold approach that works on >> textual data. So I use a pipeline that does tfidf vectorization as well. >> The thing now is, that I want to append additional features that are not >> textual to the feature data. > This kind of (but not really) sounds like a job for FeatureUnion: > http://scikit-learn.sourceforge.net/dev/modules/pipeline.html#featureunion-combining-feature-extractors > > Feature union applies to different transformers to the same input data. > But you already start with two kinds of data, right? Yep exactly. One with textual data and the other with other kind of features. > I guess you could make your data be a list of tuples (text, non-test). > Then you would still need a transformer that projects to the components, > though. > This might not be ideal. I thought about building a custom transformer, that I can pass to the pipeline that somehow appends the features to train and test data. But the problem is, that I don't know exactly which data is used for the splits (i.e., with sample). How would you do it with a list of tuples? > > Though I have no better idea. > > Cheers, > Andy Thanks, Philipp > > > ------------------------------------------------------------------------------ > Keep yourself connected to Go Parallel: > TUNE You got it built. Now make it sing. Tune shows you how. > http://goparallel.sourceforge.net > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
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