Hi all, I have what is probably a silly question. I read this passage on [1]:
""" The pipeline has all the methods that the last estimator in the pipeline has, i.e. if the last estimator is a classifier, the Pipeline can be used as a classifier. If the last estimator is a transformer, again, so is the pipeline. """ I'm trying to create a pipeline where my last estimator is a KNeighborsClassifier and, instead of predict(), I was hoping to use kneighbors(). But unfortunately, when in a pipeline, I'm getting this AttributeError: AttributeError: 'Pipeline' object has no attribute 'kneighbors' Is kneighbors() really available from the Pipeline? Or is there an alternative way to call an element in the Pipeline to use it? I tried "pipe[-1].kneighbors(X)", but that doesn't seem to be applying the earlier transforms in the pipeline. Thanks for any pointers, matt [1] https://scikit-learn.org/stable/modules/compose.html _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
