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Problems with LVQ in neurolab #74

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arogozhnikov opened this issue May 5, 2016 · 0 comments

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bug

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arogozhnikov commented May 5, 2016

The following minimal example by @mschlupp fails

from rep.estimators import NeurolabClassifier
import pandas as pd
clf = NeurolabClassifier(net_type='learning-vector')
ds = pd.DataFrame()
ds['feature1']=[0,1,2,3,4,5]
ds['feature2']=[5,7,2,4,7,9]
ds['y']=[0,0,0,1,1,1]
clf.fit(ds[['feature1','feature2']],ds['y'])

since transf makes no sense for LVQ.

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arogozhnikov added the bug label

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