Dear all,
I am working with text. My steps are:
1)CountVectorizer(receives a python list and returns a csc_matrix)
3) I want to concatenate this output with a matrix that contains other
attributs relevants to the text.
2)SelectKBest(chi2)(receives ? and returns csr_matrix)
4) Classifier
My questions are:
Why SelectKBest returns a csr_matrix and is that efficient?
How I concatenate(or vstack) the output of ContVectorizer with my matrix(which
is a numpy array of shame(n_instances, n_extraattributes)?
Thanks in advance!
Zoraida.-
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