why should it throw an exception? if it does, then i would think we
>> need to fix the issue in the underlying algorithm instead of the
>> reduction somehow knowing that the binary classifier is sampling from the
>> training dataset.
>>
>> Or am I misunderstanding the iss
he labels?
>
> Ram
>
> On Mon, Jan 25, 2016 at 3:06 PM, David Brooks <da...@whisk.co.uk> wrote:
>
>> Hi,
>>
>> I've run into an exception using MLlib OneVsRest with logistic regression
>> (v1.6.0, but also in previous versions).
>>
&g
the label metadata as a shortcut.
Do you agree that there is an issue here? Would you accept contributions
to the code to remedy it? I'd gladly take a look if I can be of help.
Many thanks,
David
On Tue, Jan 26, 2016 at 1:29 PM David Brooks <da...@whisk.co.uk> wrote:
> Hi Ram,
>
> I
it. We can help review it and pull in the fix... happy to accept
>> contributions!
>> ccing Joseph who is one of the maintainers of MLLib as well.. when
>> creating the JIRA can you attach a simple test case?
>>
>> On Tue, Jan 26, 2016 at 2:59 PM, David Brooks <d
Hi,
I've run into an exception using MLlib OneVsRest with logistic regression
(v1.6.0, but also in previous versions).
The issue is intermittent. When running multiclass classification with
K-fold cross validation, there are scenarios where the split does not
contain instances for every target
