I see. I think I read the documentation a little bit too quick :)
My apologies.
Kind regards,
Joeri
From: Sean Owen [so...@cloudera.com]
Sent: 21 November 2016 21:32
To: Joeri Hermans; dev@spark.apache.org
Subject: Re: MinMaxScaler behaviour
It
It's a degenerate case of course. 0, 0.5 and 1 all make about as much
sense. Is there a strong convention elsewhere to use 0?
Min/max scaling is the wrong thing to do for a data set like this anyway.
What you probably intend to do is scale each image so that its max
intensity is 1 and min intensit
Hi all,
I observed some weird behaviour while applying some feature transformations
using MinMaxScaler. More specifically, I was wondering if this behaviour is
intended and makes sense? Especially because I explicitly defined min and max.
Basically, I am preprocessing the MNIST dataset, and the
