Hey Serafim,
In this line
https://github.com/scikit-learn/scikit-learn/blob/1495f69242646d239d89a5713982946b8ffcf9d9/sklearn/cluster/k_means_.py#L303
you can see that a randomstate object is constructed and that object is
passed in the for loop that you are referring to, not the integer value
Dear Sklearn community,
I have a simple question concerning the implementation of KMeans clustering
algorithm.
Two of the input arguments are the “n_init” and “random_state”.
Consider a case where “n_init=10” and “random_state=0”.
By looking at the source code
Thanks everyone for joining,
There's definitely room from improvement but this was still very
productive I think :)
The meeting notes are on the project board.
I sent a google calendar invite to everyone for the next meeting: Monday
26th August, same time. If I missed you or if you want
Hi
How to acquire the probability in the cross_validate function?
Thanks
Rujing
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在 2019-08-05 22:31:38，"Andreas Mueller" 写道：
As usual, I agree ;)
I think it would be good to call out particularly important bugfixes so they
get reviews.
We might also want to think about
As usual, I agree ;)
I think it would be good to call out particularly important bugfixes so
they get reviews.
We might also want to think about how we can organize the issue tracker
better.
Having more full-time people on the project certainly means more
activity but ideally we can use some
Yay for technology! Awesome to see you all and have some matters clarified.
Adrin is right that the issue tracker is increasingly overwhelming (because
there are more awesome people hired to work on the project, more frequent
sprints, etc). This meeting is a useful summary.
The meeting mostly
