Thanks for the feedback.
Actually, implementation and testing of association rule learning can be
finished sooner than what I thought, two week in total, because of its
simplicity so updated schedule would be like:
• Getting familiar with scikit-learn, API structure etc. (1 week)
• Generating, finding datasets for future use. (1-3 days)
• Implementing association rule learning, (1-3 days)
• Testing, documenting (1-3 days)
• Implementing collaborative filtering (2 week)
• Testing, documenting (1 week)
• Evaluating the whole process, benchmarks, etc (2 week)
I decreased the time of implementing and testing of association rule
learning and added that time to the overall evaluation at the end which
suits better to the deadlines I think.
On Mon, Apr 29, 2013 at 9:15 AM, Gael Varoquaux <
[email protected]> wrote:
> On Mon, Apr 29, 2013 at 01:28:09AM +0300, Şükrü Bezen wrote:
> > • Getting familiar with scikit-learn, API structure etc. (1 week)
> > • Generating, finding datasets for future use. (1-3 days)
> > • Implementing association rule learning, (1 week)
> > • Testing, documenting (1 week)
> > • Implementing collaborative filtering (2 week)
> > • Testing, documenting (1 week)
> > • Evaluating the whole process, benchmarks, etc (1 week)
>
> > So in total 7 week + a couple of days is my plan for now.
>
> Looking at that timetable, what comes into my mind is that the first
> hard results (association rule learning implemented and mergeable) come
> in a bit late. This can be a problem as ideally there should be a
> significant contribution merged before the mid-term review.
>
> Cheers,
>
> Gaël
>
>
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