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Rahul Iyer
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Release 1.4.1: Release Notes + version changes
Pivotal Tracker: 62279090
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README.md

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@@ -55,8 +55,7 @@ Papers and Talks
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Related Software
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=================
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* [`PivotalR`](https://github.com/madlib-internal/PivotalR) - PivotalR also lets
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the user to run the functions of the open-source big-data machine learning
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* [`PivotalR`](https://github.com/madlib-internal/PivotalR) - PivotalR also lets the user run the functions of the open-source big-data machine learning
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package `MADlib` directly from R.
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* [`PyMADlib`](https://github.com/gopivotal/pymadlib) - PyMADlib is a python
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wrapper for MADlib, which brings you the power and flexibility of python

ReleaseNotes.txt

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commit history located at https://github.com/madlib/madlib/commits/master.
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Current list of bugs and issues can be found at http://jira.madlib.net.
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MADlib v1.4.1
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Release Date: 2013-Dec-13
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Bug Fixes:
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- Fixed problem in Elastic Net for 'binomial' family if an 'integer' column was
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passed for dependent variable instead of a 'boolean' column
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- '*' support in Elastic Net lacked checks for the columns being combined. Now
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we check if the column for '*' is already an array, in which case we don't wrap
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it with an 'array' modifier. If there are multiple columns we check that they
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are of the same numeric type before building an array.
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- Fixed a software regression in Robust Variance, Clustered Variance and
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Marginal Effects for multinomial regression introduced in v1.4 when
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output table name is schema-qualified.
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- We now also support schema-qualified output table prefixes for SVD and PCA.
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- Added warning message when deprecated functions are run. Also added a list of
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deprecated functions in the ReadMe.
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- Added a Markdown Readme along with the text version for better rendering on
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Github.
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MADlib v1.4
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