GitHub user MechCoder opened a pull request:
https://github.com/apache/spark/pull/13981
[SPARK-16307] [ML] Add test to verify the predicted variances of a DT on
toy data
## What changes were proposed in this pull request?
The current tests assumes that `impurity.calculate()` returns the variance
correctly. It should be better to make the tests independent of this
assumption. In other words verify that the variance computed equals the
variance computed manually on a small tree.
## How was this patch tested?
The patch is a test....
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/MechCoder/spark dt_variance
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/13981.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #13981
----
----
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
