Would be great to add this as an example to Mahout's codebase.
On 02/04/2014 10:27 AM, Ted Dunning wrote:
Frank,
I just munched on your code and sent a pull request.
In doing this, I made a bunch of changes. Hope you liked them.
These include massive simplification of the reading and
Yes.
On Tue, Feb 4, 2014 at 1:31 AM, Sebastian Schelter s...@apache.org wrote:
Would be great to add this as an example to Mahout's codebase.
On 02/04/2014 10:27 AM, Ted Dunning wrote:
Frank,
I just munched on your code and sent a pull request.
In doing this, I made a bunch of
Thanks Ted!
Would indeed be a nice example to add.
On Tue, Feb 4, 2014 at 10:40 AM, Ted Dunning ted.dunn...@gmail.com wrote:
Yes.
On Tue, Feb 4, 2014 at 1:31 AM, Sebastian Schelter s...@apache.org wrote:
Would be great to add this as an example to Mahout's codebase.
On 02/04/2014
Hi all,
I am exploring Mahout's SGD classifier and like some feedback because I
think I didn't properly configure things.
I created an example app that trains an SGD classifier on the 'bank
marketing' dataset from UCI:
http://archive.ics.uci.edu/ml/datasets/Bank+Marketing
My app is at:
Hi Frank,
you are using the feature vector encoders which hash a combination of
feature name and feature value to 2 (default) locations in the vector. The
vector size you configured is 11 and this is imo very small to the possible
combination of values you have for your data (education, marital,
