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Release notes for v1.5 + license for PyXB

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1 parent 967c413 commit 538c8cc3f819d06a3727374fd78dad470604d763 Rahul Iyer committed Jun 22, 2014
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  1. +39 −6 ReleaseNotes.txt
  2. +1 −0 doc/
  3. +268 −0 license/third_party/PyXB_v1.2.3.txt
@@ -11,18 +11,51 @@ Current list of bugs and issues can be found at
MADlib v1.6
-Release Date: 2014-???-??
+Release Date: 2014-June-30
New features:
-- Updated convergence for Elastic Net by using loglikelihood instead of the
-gradient, allowing for faster convergence. The default threshold for convergence
-has been reduced from 1e-4 to 1e-6.
+- Added a new unified 'margins' function that computes marginal effects for
+linear, logistic, multilogistic, and cox proportional hazards regression. The
+new function also introduces support for interaction terms in the independent
+- Updated convergence for 'elastic_net_train' by checking the change in the
+loglikelihood instead of the l2-norm of the change in coefficients. This allows
+for faster convergence in problems with multiple optimal solutions.
+The default threshold for convergence has been reduced from 1e-4 to 1e-6.
+- Added a new helper function to convert categorical variables to indicator
+variables which can be used directly in regression methods. The function
+currently only supports dummy encoding.
+- Improved performance for cox proportional hazards: average improvement of
+20 fold on GPDB and 2.5 fold on HAWQ.
+- Improved performance on ARIMA by 30%.
+- Added new functionality to export linear and logistic regression models as a
+PMML object. The new module relies on PyXB to create PMML elements.
+- Added a function ('array_scalar_add') to 'add' a scalar to an array.
+- Added 'numeric' type support for all functions that take 'anyarray' as
+- Made usability and aesthetic enhancements to documentation.
Bug Fixes:
+- Prepended python module name to sys.path before executing madlib function
+to avoid conflicts with user-defined modules.
+- Added a check in K-Means to ensure dimensionality of all data points are
+the same and also equal to the dimensionality of any provided initial centroids
+(MADLIB-713, MADLIB-789).
+- Added a check in multinomial regression to quit early and cleanly if model
+size is greater than the maximum permissible memory (MADLIB-667).
+- Fixed a minor bug with incorrect column names in the decision trees module
+- Fixed a bug in Kmeans that resulted in incorrect number of centroids for
+particular datasets (MADLIB-857).
+- Fixed bug when grouping columns have same name as one of the output table
+column names (MADLIB-833).
Deprecated Functions:
-- Modules profile, svd_mf, quantile have been deprecated.
+- Modules profile and quantile have been deprecated in favor of the 'summary'
+- Module 'svd_mf' has been deprecated in favor of the improved 'svd' function.
+- Functions 'margins_logregr' and 'margins_mlogregr' have been deprecated in
+favor of the 'margins' function.
MADlib v1.5
@@ -9,6 +9,7 @@ Useful links:
<li>MADlib project site</li>
<li>MADlib bug reporting site: and quick guide:</li>
<li>User documentation for earlier releases:
+ <a href="">v1.5</a>,
<a href="">v1.4</a>,
<a href="">v1.3</a>,
<a href="">v1.2</a>
@@ -0,0 +1,268 @@
+From the PyXB licensing page
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