From 230dade446bed54506a0e00bc5cd8741e80f8bbe Mon Sep 17 00:00:00 2001
From: IftachSadeh <imsadeh@gmail.com>
Date: Wed, 25 Feb 2015 20:12:47 +0100
Subject: [PATCH] v2.0.3 - Improvements to binned classification

- Added MultiClass support for binned classification.
- Added `ANNZ::deriveHisClsPrb()` - change how probabilities are
calculated in binned classification.
- Added `ANNZ_PDF_max` - the most likely value of a PDF (the peak of
the PDF), to the outputs of regression.
- Various bug fixes.
---
 CHANGELOG.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index be3edac..b24a37b 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -2,7 +2,7 @@
 
 <!-- ## Master version -->
 
-## ANNZ 2.0.3 (20/2/2015)
+## ANNZ 2.0.3 (25/2/2015)
 
 - **Added *MultiClass* support to binned classification:** The new option is controlled by setting the `doMultiCls` flag. In this mode, multiple background samples can be trained simultaneously against the signal. In the context of binned classification, this means that each classification bin acts as an independent sample during the training.