Hey.
You can use
gridsearch.best_estimator_.steps[0] for the first step, applying the
other steps currently need a manual loop over the steps / hardcoding.
There is a PR that will make this much easier:
https://github.com/scikit-learn/scikit-learn/pull/2568
Cheers,
Andy
On 02/17/2015 08:45 PM, Pagliari, Roberto wrote:
When using the predict function
clf.predict(x_test)
where clf is obtained by gridsearchcv with a pipeline, is it possible
to print intermediate results for debugging purposes?
For example, if the pipeline is [scaling, transformer1, transformer2,
classificatory]
I would like to see the output of each step.
I could put a print statement inside the estimators of the pipeline,
but I only need to check the prediction after grid search has
completed, and grid search may generate too much output.
Thanks,
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