[GRASS-SVN] r69980 - grass-addons/grass7/raster/r.randomforest

[svn_grass at osgeo.org]

Author: spawley
Date: 2016-12-02 08:47:10 -0800 (Fri, 02 Dec 2016)
New Revision: 69980

Modified:
   grass-addons/grass7/raster/r.randomforest/ml_utils.py
Log:
bug fix to r.randomforest

Modified: grass-addons/grass7/raster/r.randomforest/ml_utils.py
===================================================================
--- grass-addons/grass7/raster/r.randomforest/ml_utils.py	2016-12-02 16:34:28 UTC (rev 69979)
+++ grass-addons/grass7/raster/r.randomforest/ml_utils.py	2016-12-02 16:47:10 UTC (rev 69980)
@@ -112,7 +112,7 @@
         if lowmem is False:        
             response_np = np.array(roi_gr)
         else:
-            response_np = np.memmap(os.path.join(tmpdir, 'response'),
+            response_np = np.memmap(filename=os.path.join(tmpdir, 'response'),
                                     dtype='float32', mode='w+',
                                     shape=(current.rows, current.cols))
             response_np[:] = np.array(roi_gr)[:]
@@ -144,9 +144,9 @@
 
     # Loop through each raster and sample pixel values at training indexes
     if lowmem is True:
-        feature_np = np.memmap(os.path.join(tmpdir, 'feature',
+        feature_np = np.memmap(os.path.join(tmpdir, 'feature'),
 					   dtype='float32', mode='w+',
-                               shape=(current.rows, current.cols)))  
+                               shape=(current.rows, current.cols))
 
     for f in range(n_features):
         predictor_gr = RasterRow(predictors[f])