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Common test: predict_proba as a monotonic transformation of decision_function #7578

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jnothman opened this issue Oct 5, 2016 · 6 comments
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@jnothman
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@jnothman jnothman commented Oct 5, 2016

We should have a common test ensuring that, if both decision_function and predict_proba are available on an estimator, their outputs have perfect rank correlation.

@ivallesp
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@ivallesp ivallesp commented Oct 5, 2016

Could I participate here as a contributor?

@amueller
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@amueller amueller commented Oct 5, 2016

@ivallesp try one of them at a time ;)

@ivallesp
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@ivallesp ivallesp commented Oct 5, 2016

Cool, good idea. So I choose the other one!

El 5 oct 2016, a las 19:08, Andreas Mueller notifications@github.com escribió:

@ivallesp try one of them at a time ;)


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@shubham0704
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@shubham0704 shubham0704 commented Jan 30, 2017

Hello sir can I work on this one!

@jnothman
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@jnothman jnothman commented Jan 30, 2017

@shubham0704
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@shubham0704 shubham0704 commented Feb 1, 2017

I am getting an error while trying to test run the file check_estimators:
File "numpy.pxd", line 86, in init mtrand (numpy/random/mtrand/mtrand.c:42488)
AttributeError: 'module' object has no attribute 'dtype'.

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