[mlpack-svn] r16138 - mlpack/conf/jenkins-conf/benchmark

[fastlab-svn at coffeetalk-1.cc.gatech.edu]

Author: rcurtin
Date: Tue Jan 14 12:10:59 2014
New Revision: 16138

Log:
Run scikit on all GMM datasets


Modified:
   mlpack/conf/jenkins-conf/benchmark/config.yaml

Modified: mlpack/conf/jenkins-conf/benchmark/config.yaml
==============================================================================
--- mlpack/conf/jenkins-conf/benchmark/config.yaml	(original)
+++ mlpack/conf/jenkins-conf/benchmark/config.yaml	Tue Jan 14 12:10:59 2014
@@ -830,8 +830,10 @@
         format: [csv, txt]
         datasets:
             - files: ['datasets/artificial_2DSignal.csv', 'datasets/artificial_5DSignal.csv',
-                      'datasets/iris.csv', 'datasets/vehicle.csv', 'datasets/wine.csv',
-                      'datasets/USCensus1990.csv']
+                      'datasets/iris.csv', 'datasets/wine.csv',
+                      'datasets/vehicle.csv', 'datasets/USCensus1990.csv',
+                      'datasets/optdigits.csv', 'datasets/isolet.csv',
+                      'datasets/TomsHardware.csv', 'datasets/covtype.csv']
               options: '-s 42'
     LinearRegression:
         run: true
@@ -860,7 +862,7 @@
             - files: ['datasets/pendigits.csv']
               options: '-k 12 -s 42 -N'
 ---
-# mlpy is a Python module for Machine Learning built on top of NumPy/SciPy 
+# mlpy is a Python module for Machine Learning built on top of NumPy/SciPy
 # and the GNU Scientific Libraries.
 library: mlpy
 methods:
@@ -1256,4 +1258,4 @@
                         ['datasets/arcene_X.csv', 'datasets/arcene_y.csv'],
                         ['datasets/cosExp_X.csv', 'datasets/cosExp_y.csv'],
                          'datasets/ticdata2000.csv', 'datasets/TomsHardware.csv',
-                         'datasets/mnist_all.csv',  'datasets/tinyImages100k.csv']
\ No newline at end of file
+                         'datasets/mnist_all.csv',  'datasets/tinyImages100k.csv']