Add SVC documentation for properties. #5224
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Issue #4687. Documented `fit_status_`, `probA_`, and `probB_`.
sklearn/svm/classes.py
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What are the shapes, and what are the interpretations?
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thanks :) |
sklearn/svm/classes.py
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Also thought Section 8 of http://www.csie.ntu.edu.tw/~cjlin/papers/libsvm.pdf was useful. Should I include in docstring?
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Can you add it as References to the docstring? Does it also describe the SVR? Can you check that it is also mentioned in the user guide? Thanks.
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It's in the user guide: http://scikit-learn.org/stable/modules/svm.html#implementation-details.
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probA_ and probB_ are not mentioned in the user-guide, right?
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http://scikit-learn.org/stable/modules/svm.html#scores-probabilities explains Platt scaling, but doesn't explicitly mention probA_ or probB_.
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Will render as shown below. Let me know if I should link to the LIBSVM paper differently.
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It would be good to give a short explanation of what they do so the user doesn't have to look it up. They are the scaling and offset learned in the platt scaling, right? It would be good to give a formula of what they mean. Otherwise they are useless. |
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@amueller, anything I should change on the last commit? |
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Each should be on its own line. Though you only need the explanation once.
Otherwise it looks greatk.
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Sorry for the long turnaround |
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finished in #12427 |
Issue #4687.
Documented
fit_status_,probA_, andprobB_.