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Hi, please add to documentation simple example for common scenario in ML models, how to use pdpipe with GridSearchCV.
It is not clear, how to do it / of if expected scenario at all.
This basic simple will help people to use pdpipe for all ML models and parameter-tuning techniques.
Best Stefan
The text was updated successfully, but these errors were encountered:
Good question. I'm working on it for the last couple of days.
I am not yet sure how easy it is to implement, as I think sklearn casts input dataframes to numpy.ndarray objects, but we'll see.
sklearn
numpy.ndarray
You can take a look at this branch if you want to: https://github.com/pdpipe/pdpipe/tree/custpipebase
Sorry, something went wrong.
I made it work! :)
Released in v0.0.66.
v0.0.66
I've also written a tutorial notebook just for you (and also for future users, but mainly for you❤️): https://github.com/pdpipe/pdpipe/blob/master/notebooks/pipeline_and_model.ipynb
Let me know about any problems you have, and feel free to open new issues for bugs, missing parts and other features you'd like to have! :)
Excellent, thank you very much ❤️ I will test in my current project 👍
Great! Let me know how it goes.
shaypal5
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Hi, please add to documentation
simple example for common scenario in ML models,
how to use pdpipe with GridSearchCV.
It is not clear, how to do it / of if expected scenario at all.
This basic simple will help people to use pdpipe for all
ML models and parameter-tuning techniques.
Best
Stefan
The text was updated successfully, but these errors were encountered: