On 10/29/18 8:08 AM, Manuel Castejón Limas wrote:
The long story short: Thank you for your time & sorry for
inaccuracies; a few words selling a modular approach to your
developments; and a request on your opinion on parallelizing
Pipegraph using dask.
I'm not very experienced with dask, so I'm probably not the right person
to help you.
And I totally get that pipegraph is more flexible than whatever hack I
came up with :)
In the mean-time microsoft launched nimbusml:
https://docs.microsoft.com/en-us/nimbusml/overview
It actually implements something very similar to pipegraph on top of ML.net
FYI And I also gave the MS people a hard time when discussing their
pipeline object ;)
I'm still not entirely convinced this is necessary, but for NimbusML,
the underlying
library is built with the DAG in mind. So different algorithms have
different output slots
that you can tab into, while sklearn basically "only" has transform and
predict (and predict proba).
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