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The link to the constrained kmeans python demo in this topic is now broken:
https://github.com/h2oai/h2o-3/blob/master/h2o-docs/src/product/data-science/k-means.rst#constrained-k-means-with-the-aggre…
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When using kmodes in Python, the algorithm chooses the best distribution of the data for a set number of clusters, regardless of the group size of each cluster. E.g.: some clusters can have around 10.…
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I had a job with an estimate of 2:11:xx and it completed in 1:02:xx and afterwards the spooler showed the estimate as the same as the actual.
P.S. Estimate was way over due to vertical gaps in the …
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Direction changed, txt will be updated soon.
Old stuff:
- 1997: [The Internet: A Future Tragedy of the Commons?](https://link.springer.com/chapter/10.1007/978-1-4757-2644-2_22)
- [Internet Securi…
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Hello:
I have used the code from your project. Do you have an associated article for this project? I would like to cite it. If you do, could you please provide me with the citation format? (my emai…
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These lines cause the training metrics from the last iteration are replaced by another unknown metrics from DKV.
There should be metrics from the last Kmeans iteration.
If this is turn on, it causes t…
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when I train from scratch using rico25 dataset, I get a error as below. It seem that self.parameters() is not OK if using DataParallel? would you give me some help, thank you please!
DATA_DIR=./dow…
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Hi,
Thanks for sharing your work !
I would like what is your configuration for the training of yolov3.cfg to get 55% MAP ?
We tried 100 epochs but we got a MAP (35%) who don't really change much …
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Hello,
I have a bunch of house points. I have extended a line which extends Glass fiber to each house.
Now, I'd like to cluster the points to assign a distributor to each cluster. The maximum of ho…