Joel,
Thanks so much for the quick response! I built from that PR and it is
working great!
Hope that PR can get merged into master soon, I am sure others would love
the feature too!
Thanks again,
Cory
On Tue, Feb 4, 2014 at 8:05 PM, Joel Nothman <joel.noth...@gmail.com> wrote:
> Two options:
> 1. Use SGDClassifier(loss='log').fit(X, y, sample_weight).
> 2. Use the branch of PR
> 2784<https://github.com/scikit-learn/scikit-learn/pull/2784> which
> ports sample_weight to scikit-learn's liblinear.
>
> - Joel
>
>
> On 5 February 2014 11:34, Cory Dolphin <wcdolp...@gmail.com> wrote:
>
>> Hello,
>>
>> First, thanks for this wonderful library, I am an undergraduate
>> engineering student and this tool has opened my mind to ML!
>>
>> I have a problem with repeated samples, which I wish to perform logistic
>> regression on. I expected to be able to pass a vector of weights to
>> associate with the repeated samples, but I was unable to find such an
>> option.
>>
>> Does it exist? If not, how have others worked around this problem in the
>> past?
>>
>> Thanks,
>> Cory
>>
>>
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