DOC: Add example to linear_model.PoissonRegressor #17453
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Is this still WIP or do you want reviews? |
amueller
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Jun 6, 2020
thomasjpfan
reviewed
Jun 6, 2020
| >>> clf.fit(X, y) | ||
| PoissonRegressor(alpha=0.95) | ||
| >>> print(clf.coef_) | ||
| [0.30189415 0.30189415] |
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Suggested change
| [0.30189415 0.30189415] | |
| [0.301... 0.301...] |
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Thanks. I applied this format (also other results)
sklearn/linear_model/_glm/glm.py
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| ---------- | ||
| >>> from sklearn import linear_model | ||
| >>> clf = linear_model.PoissonRegressor(alpha=0.95) | ||
| >>> X = [[0, 0], [1, 1], [2, 2]] |
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Can we have an example where the coef_ are different between the two features?
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Good idea.
I fixed it.
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Thanks for your review! |
thomasjpfan
reviewed
Jun 7, 2020
Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>
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Thanks for your suggestion! Also, I noticed that |
thomasjpfan
approved these changes
Jun 7, 2020
viclafargue
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Jun 26, 2020
* [WIP]: Add examples to linear_model.PoissonRegressor * Address review * Address review * Apply suggestions from code review Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com> * Remove numpy import Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>
jayzed82
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Oct 22, 2020
* [WIP]: Add examples to linear_model.PoissonRegressor * Address review * Address review * Apply suggestions from code review Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com> * Remove numpy import Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>
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Reference Issues/PRs
Relates to #3846
What does this implement/fix? Explain your changes.
Add example to
linear_model.PoissonRegressor.