Re: [scikit-learn] pipeline for modifying target and number of samples

The naming seems a bit unfortunate with seqlearn ;) On 08/02/2018 07:25 AM, David Burns wrote: Hi, I posted a while back about this, and am reposting now since I have made progress on this topic. As you are probably aware, the sklearn Pipeline only supports transformers for X, and the number

Re: [scikit-learn] pipeline for modifying target and number of samples

But you can't use cross_validate(seglearn.Pype(...), X, y) in general, can you, if the Pype changes the samples and their correspondence to the input y arbitrarily at both train and predict time? ​ ___ scikit-learn mailing list scikit-learn@python.org htt

[scikit-learn] pipeline for modifying target and number of samples

Hi, I posted a while back about this, and am reposting now since I have made progress on this topic. As you are probably aware, the sklearn Pipeline only supports transformers for X, and the number of samples must stay the same. I work with time series where the learning pipeline relies on