Various existing frameworks like R or python/sklearn already have existing interfaces so would be good to follow some existing patterns. I personally find sklearn's transform/fit/predict pattern very easy to use and understand.
Sent from my iPhone On 22 Feb 2014, at 09:15, Gokhan Capan <[email protected]> wrote: > I'm personally positive on this. > > Could you give an example code snippet that shows how the usage is going to > be? > > Sent from my iPhone > >> On Feb 22, 2014, at 5:37, Jay Vyas <[email protected]> wrote: >> >> Hi dead. Sure I will take a look. >> >> >>> On Fri, Feb 21, 2014 at 7:51 PM, Ted Dunning <[email protected]> wrote: >>> >>> Great idea. Hard to do well. >>> >>> Would it be possible for you to try to build a picture of all the pieces >>> that need to be connected before you start building connectors and >>> converters? >>> >>> >>> >>>> On Fri, Feb 21, 2014 at 8:01 AM, Jay Vyas <[email protected]> wrote: >>>> >>>> Hi mahout. Was thinking about building adapters so it would be easier to >>>> run algorithms on a broader set of input data structures, unless there is >>>> already an initiative to do so: >>>> >>>> Any thoughts on this JIRA? >>>> https://issues.apache.org/jira/browse/MAHOUT-1421 >>>> >>>> -- >>>> Jay Vyas >>>> http://jayunit100.blogspot.com >> >> >> >> -- >> Jay Vyas >> http://jayunit100.blogspot.com
