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v0.5: Release notes and Version number

JIRA: MADLIB-700, 715
Updated release notes for MADLIB v0.5 release and updated the
version number.
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1 parent 159622d commit 66dbbed1e6a13b9b65b2a985e176b710164a0a1a @sujitp sujitp committed with Rahul Iyer Nov 5, 2012
Showing with 59 additions and 1 deletion.
  1. +58 −0 ReleaseNotes.txt
  2. +1 −1 src/config/Version.yml
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58 ReleaseNotes.txt
@@ -10,6 +10,64 @@ commit history located at https://github.com/madlib/madlib/commits/master.
Current list of bugs and issues can be found at http://jira.madlib.net.
--------------------------------------------------------------------------------
+MADlib v0.5
+
+Release Date: 2012-Nov-15
+
+Bug Fixes:
+* K-means:
+ - Improved handling of invalid arguments (MADLIB-359, 361)
+* Sketch-based estimators:
+ - Addressed security vulnerability (MADLIB-630)
+
+New Features / Improvements:
+* Association Rules (Apriori):
+ - Improved reporting output format for better usability (MADLIB-411)
+ - Significant improvement in performance (MADLIB-638)
+* C++ (Database) Abstraction Layer:
+ - Extension to support modular transition states (MADLIB-499)
+ - Extension to support functions returning set of values (MADLIB-638)
+* Conditional Random fields:
+ - Support for Linear Chain Conditional Random Fields for NLP (MADLIB-628)
+* Decision Tree:
+ - Improved performance for C4.5 and Random forests (MADLIB-605)
+ - Improved encoding (MADLIB-590)
+* Infrastructure:
+ - Convex optimization framework
+* K-means:
+ - Code refactoring and Improved performance
+ (MADLIB-454, MADLIB-522, MADLIB-678)
+ - Silhouette function for k-means (MADLIB-681)
+* Low-rank Matrix Factorization
+ - New module
+* Logistic Regression:
+ - Support for Multinomial Logistic Regression (MADLIB-575)
+* Naive Bayes
+ - Significant improvement in performance (MADLIB-611, 619, 626)
+* Regression Analysis:
+ - Support for Cox Proportional Hazards test (MADLIB-576)
+* Sampling
+ - Added weighted sampling of a single row (MADLIB-584)
+* SVD Matrix Factorization:
+ - Improved performance (MADLIB-578)
+
+Documentation:
+* Conditional Random Fields:
+ - Example added for CRF module (MADLIB-731)
+* SVD Matrix Factorization:
+ - Incremental-gradient SVD algorithm (MADLIB-572)
+
+Known issues:
+* Multinomial Logistic Regression:
+ - Number of independent variables cannot exceed 65535 (MADLIB-665)
+* Naive Bayes:
+ - Current implementation of Naive Bayes is only suitable for
+ categorical attributes (MADLIB-679)
+ - NULL input values not accepted for attributes (MADLIB-614)
+ - NULL probabilities given for test set values not seen in
+ training set (MADLIB-523)
+
+--------------------------------------------------------------------------------
MADlib v0.4.1
Release Date: 2012-Aug-9
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2 src/config/Version.yml
@@ -1 +1 @@
-version: 0.4.1
+version: 0.5

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