added some hints about the blending scheme

blend.py

@@ -1,7 +1,13 @@
 """Kaggle competition: Predicting a Biological Response.
 
 Blending {RandomForests, ExtraTrees, GradientBoosting} + stretching to
-[0,1].
+[0,1]. The blending scheme is related to the idea Jose H. Solorzano
+presented here:
+http://www.kaggle.com/c/bioresponse/forums/t/1889/question-about-the-process-of-ensemble-learning/10950#post10950
+'''You can try this: In one of the 5 folds, train the models, then use
+the results of the models as 'variables' in logistic regression over
+the validation data of that fold'''. Or at least this is the
+implementation of my understanding of that idea :-)
 
 The predictions are saved in test.csv. The code below created my best
 submission to the competition: