The easiest way is to just map them yourself with some Python code after
LabelEncoder - this type of mapping is generally application specific.
Something like:
a[a == 0] = 100
a[a == 1] = 150
a[a == 2] = 155
will do the trick. For many labels, you could loop through a dictionary you
make and set these values:
mapping = {0:100, 1:150, 2:155}
for k, v in mapping:
a[a == k] = v
Kyle
On Thu, Jul 3, 2014 at 3:42 AM, Sheila the angel <[email protected]>
wrote:
> Is there any way to specify the label encoding in
> preprocessing.LabelEncoder() ?
>
> My targets are in string and I want to convert them into numeric values.
> preprocessing.LabelEncoder() encodes always as 0,1,2 while I would like
> specify the numeric code.
>
>
> target_str = ['setosa', 'versicolor', 'virginica', 'setosa', 'setosa',
> 'versicolor']
>
>
> le = preprocessing.LabelEncoder()
>
> target_int =le.fit(target_str).transform(target_str)
>
>
> target_int
>
> Out[10]: array([0, 1, 2, 0, 0, 1])
>
>
> I would like to specify targets as
>
>
> target_code = {'setosa':100, 'versicolor': 150, 'virginica':155}
>
>
> and want to convert target_str to target_int as
>
>
> target_int
>
> Out[11]: array([100, 150, 155, 100, 100, 150])
>
>
>
> Thanks
>
> --
> Sheila
>
>
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Turn processes into business applications with Bonita BPM Community Edition
Quickly connect people, data, and systems into organized workflows
Winner of BOSSIE, CODIE, OW2 and Gartner awards
http://p.sf.net/sfu/Bonitasoft
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