Scikit learn - initialize DictVectorizer with numpy.float32

Question

I would like to use DictVectorize from Scikit-learn, but initialize it with numpy.float32 instead of the default numpy.float64. I tried to do it like this:

from sklearn.feature_extraction import DictVectorizer
vec = DictVectorizer(dtype=<type 'np.float32'>,sparse=False)

but this is not working. Is there any other way to do it?

mbatchkarov · Accepted Answer · 2014-02-26 13:20:23Z

4

That's not valid Python syntax. It's

import numpy as np
DictVectorizer(dtype=np.float32, sparse=False)

edited Feb 26, 2014 at 13:20

mbatchkarov

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answered Feb 26, 2014 at 13:10

Fred Foo

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