GitHub user njayaram2 opened a pull request:
https://github.com/apache/incubator-madlib/pull/84
PCA: Add grouping support to PCA
JIRA: MADLIB-947
- PCA can now handle grouping columns. pca_train() with grouping_cols
parameter specified learns an independent model for each group in
the input table. New columns corresponding to the columns specified
in grouping_cols will be created in the output, mean and summary
tables.
- If pca_project() is called on an input table that has grouping_cols
in it, the pc_table used in the parameter list must be a PCA model
table that is learnt with grouping_cols. If the input table for
pca_project() has grouping columns but the pc_table used does not
support grouping_cols, or vice versa, there will be an error thrown.
- Another important new feature is that the 'row_id' column in the
input tables always had to be serially increasing, starting from 1. That
requirement is now relaxed since this commit converts given 'row_id' to
a new column that follows the rules laid out by sparse and dense
matrix formats.
- Both the online and user docs are improved with more examples.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/njayaram2/incubator-madlib
features/pca-grouping-simple
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/incubator-madlib/pull/84.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 #84
----
commit cfdddb490695782a38a56aa0c9a635c063fd916b
Author: Nandish Jayaram <[email protected]>
Date: 2016-12-21T22:18:38Z
PCA: Add grouping support to PCA
JIRA: MADLIB-947
- PCA can now handle grouping columns. pca_train() with grouping_cols
parameter specified learns an independent model for each group in
the input table. New columns corresponding to the columns specified
in grouping_cols will be created in the output, mean and summary
tables.
- If pca_project() is called on an input table that has grouping_cols
in it, the pc_table used in the parameter list must be a PCA model
table that is learnt with grouping_cols. If the input table for
pca_project() has grouping columns but the pc_table used does not
support grouping_cols, or vice versa, there will be an error thrown.
- Another important new feature is that the 'row_id' column in the
input tables always had to be serially increasing, starting from 1. That
requirement is now relaxed since this commit converts given 'row_id' to
a new column that follows the rules laid out by sparse and dense
matrix formats.
- Both the online and user docs are improved with more examples.
----
---
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.
---
