[GRASS-SVN] r70255 - grass-addons/grass7/raster/r.learn.ml

svn_grass at osgeo.org svn_grass at osgeo.org
Wed Jan 4 16:28:29 PST 2017


Author: spawley
Date: 2017-01-04 16:28:29 -0800 (Wed, 04 Jan 2017)
New Revision: 70255

Modified:
   grass-addons/grass7/raster/r.learn.ml/r.learn.ml.html
Log:
'fix typo in manual page'

Modified: grass-addons/grass7/raster/r.learn.ml/r.learn.ml.html
===================================================================
--- grass-addons/grass7/raster/r.learn.ml/r.learn.ml.html	2017-01-05 00:16:14 UTC (rev 70254)
+++ grass-addons/grass7/raster/r.learn.ml/r.learn.ml.html	2017-01-05 00:28:29 UTC (rev 70255)
@@ -54,7 +54,7 @@
 
 <p>Many of the classifiers involve a random process which can causes a small amount of variation in the classification results, out-of-bag error, and feature importances. To enable reproducible results, a seed is supplied to the classifier. This can be changed using the <em>randst</em> parameter.</p>
 
-<h2>NOTES</h2>
+<h2>TODO</h2>
 
 <p>The balancing option in scikit-learn, which seeks to reduce class imbalances using weights that are inversely proportional to class frequencies, only applies to a few of the classifiers (LogisticRegression, DecisionTree, RandomForest, and GradientBoostingClassifiers). An separate python package called imbalanced-learn provides more sophisticated up- and down-sampling methods, e.g. using SMOTE, ROSE, etc. The option to balance the training data using this optionally installed package will be added in the future.</p>
 



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