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We agree! Would you be interested in creating a PR with a few F# samples?
It would also be interesting to hear of any feedback on the API form the F# user perspective.
I'm having a play around with it right now - there are a few things that spring to mind but I'll put them together in a single place. Whilst what's there now will work in F#, it's possible that to fully take advantage of F# there will need to be an thin wrapper library that adapts the pipeline to take advantage of F# pipelines etc.
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glebuk commentedon May 9, 2018
We agree! Would you be interested in creating a PR with a few F# samples?
It would also be interesting to hear of any feedback on the API form the F# user perspective.
isaacabraham commentedon May 9, 2018
I'm having a play around with it right now - there are a few things that spring to mind but I'll put them together in a single place. Whilst what's there now will work in F#, it's possible that to fully take advantage of F# there will need to be an thin wrapper library that adapts the pipeline to take advantage of F# pipelines etc.
Ivanidzo4ka commentedon Oct 18, 2018
DRI RESPONSE: We at least have a test project which runs F# code.
But it uses legacy api, and probably need to be updated.
shauheen commentedon Dec 6, 2018
Legacy API will be removed for the next release, this issue needs to be addressed soon.
shauheen commentedon Jan 8, 2019
@codemzs can you please verify if this issue can be closed now.
codemzs commentedon Jan 8, 2019
We have converted the F# project to use the new API. This issue can be closed.
fix fast forest learner (don't sweep over learning rate) (dotnet#88)
code migration from machinelearning-automl to machinelearning repo fe…
fix fast forest learner (don't sweep over learning rate) (dotnet#88)
Added onnx export functionality for LpNormNormalizingTransformer (#4161)
Added Onnx export functionality to PCATransformer (#4188)