nberg [michael.eickenb...@gmail.com]
*Sent:* Friday, May 01, 2015 11:13 AM
*To:* scikit-learn-general@lists.sourceforge.net
*Subject:* Re: [Scikit-learn-general] class label hashing
What do expect a classifier to predict on a label that it has never
seen during training? If there were structure in the t
et<mailto:scikit-learn-general@lists.sourceforge.net>
Subject: Re: [Scikit-learn-general] class label hashing
Roberto, I am not sure if this causes problems regarding the implementation,
but in any case, I'd recommend you to use the LabelEncoder to have your classes
mapped to a fixed r
fferent label numbers are really different
> classes ]
>
>
>
> From: Sebastian Raschka [se.rasc...@gmail.com]
> Sent: Thursday, April 30, 2015 11:08 PM
> To: scikit-learn-general@lists.sourceforge.net
> Subject: Re: [Scikit-learn-ge
From: Sebastian Raschka [se.rasc...@gmail.com]
Sent: Thursday, April 30, 2015 11:08 PM
To: scikit-learn-general@lists.sourceforge.net
Subject: Re: [Scikit-learn-general] class label hashing
Roberto, I am not sure if this causes problems regarding the implementation,
but in any case, I'd recommend
Roberto, I am not sure if this causes problems regarding the implementation,
but in any case, I'd recommend you to use the LabelEncoder to have your classes
mapped to a fixed range, e.g., 0, 1, 2, 3, 4, 5. And having different class
labels in training and test set that reference to the same clas
Suppose I train a classifier with dataset1, which contains labels
0
3
4
6
7
and then predict over dataset2 with labels
0
3
4
8
10
will the hashing be the same for labels 0, 3 and 4? and will scikit learn get
confused by seeing new labels such as 8 and 10?
Thank you,
-
