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Note the output format of GLR ```summary.toString``` is:
```
Coefficients:
Feature Estimate Std ErrorT Value P Value
features_0 2.21304 0.00279 792.03163 0.0
feat
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LGTM, merged into master. Thanks for all.
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Made a new commit to address the comments.
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@yanboliang Thanks for the suggestions. I have made a new commit that
addresses your comments.
In the new version, I used an array of tuple to represent the coefficient
matrix. I used tupl
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@yanboliang Could you take a look?
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I think this is helpful to have - added a few comments.
Any more feedback @jkbradley @yanboliang @srowen @MLnick?
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@felixcheung Could you take another look at this PR? Thanks.
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@imatiach-msft I'm not sure the R^2s are used much in the GLM context. The
deviance, loglikelihood and AIC/BICs are most often used for ANOVA and model
comparison. The GLM
[book](https://www.a
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@actuaryzhang sorry, can you comment on this question I had above:
One question, out of scope of the specific changes in this review: are
there any other summary statistics that we could ad
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@actuaryzhang thanks, LGTM!
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@imatiach-msft @felixcheung
I cleaned up the tests as suggested, and also updated the R GLM wrapper to
use the result from this PR. Please let me know if there is any other
suggestions. Th
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Thanks for the updates, the changes look good to me. One question, out of
scope of the specific changes in this review: are there any other summary
statistics that we could add in the future?
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@felixcheung @imatiach-msft Thanks much for the review. Made most changes
suggested. Please see my inline replies.
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the code looks very good, I added a few minor comments, will take another
look tomorrow, thanks!
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@actuaryzhang sorry I'm at Spark Summit East, will take a look soon. For
the feature name or "lazy val featureName: Array[String]", I recall there is a
sparse (eg output by HashingTF) and den
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Could somebody help review this PR? I think this will make gathering the
estimation results in Scala much easier. This will also be helpful in
constructing the tests. For example, the GLM tests
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Jenkins test this please
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Jenkins add to whitelist
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This test just resists to start. Could someone help? Many thanks!
@srowen @jkbradley @MLnick @yanboliang
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jenkins, test this please
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Jenkins, test this please
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The following code illustrates the idea of this PR.
```
val datasetWithWeight = Seq(
(1.0, 1.0, 0.0, 5.0),
(0.5, 2.0, 1.0, 2.0),
(1.0, 3.0, 2.0, 1.0),
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Can one of the admins verify this patch?
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