[MRG] Bayesian regression model dtype consistency#9087
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Henley13 wants to merge 4 commits intoscikit-learn:mainfrom
Closed
[MRG] Bayesian regression model dtype consistency#9087Henley13 wants to merge 4 commits intoscikit-learn:mainfrom
Henley13 wants to merge 4 commits intoscikit-learn:mainfrom
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The tests are failing. |
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@GaelVaroquaux Ping |
raghavrv
approved these changes
Jun 28, 2017
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Thanks! This looks good to me, pending minor comments. :)
| assert X.dtype == dtype | ||
| assert model.coef_.dtype == X.dtype | ||
| assert y_mean.dtype == X.dtype | ||
| assert y_std.dtype == X.dtype |
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could you also add a line testing dtype of predict?
| ard_64.fit(X_64, y_64) | ||
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| assert_array_almost_equal(br_32.coef_, br_64.coef_, decimal=5) | ||
| assert_array_almost_equal(ard_32.coef_, ard_64.coef_, decimal=5) |
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same here too. could you test it for the output of predict too?
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Can you please address the comments and fix the merge conflicts? Thanks! |
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Reference Issue
Works on #11000
What does this implement/fix? Explain your changes.
Avoids Bayesian Regression to aggressively cast the data to np.float64 when np.float32 is supplied.
Any other comments?