Evaluating on large datasets is easy if the sufficient statistics are just
the contingency matrix.
On Tue., 14 May 2019, 11:19 pm Tom Augspurger,
wrote:
> If anyone is interested in implementing these, dask-ml would welcome
> additional
> metrics that work well with Dask arrays:
> https://github
If anyone is interested in implementing these, dask-ml would welcome
additional
metrics that work well with Dask arrays:
https://github.com/dask/dask-ml/issues/213.
On Tue, May 14, 2019 at 2:09 AM Uri Goren wrote:
> Sounds like you need to use spark,
> this project looks promising:
> https://git
Sounds like you need to use spark,
this project looks promising:
https://github.com/xiaocai00/SparkPinkMST
On Tue, May 14, 2019 at 5:12 AM lampahome wrote:
>
> Uri Goren 於 2019年5月3日 週五 下午7:29寫道：
>
>> I usually use clustering to save costs on labelling.
>> I like to apply hierarchical clustering
