From 7491c28dca261aecc70fb482131323ab4cb1b581 Mon Sep 17 00:00:00 2001
From: Adam Radziszewski <adam.radziszewski@pwr.wroc.pl>
Date: Thu, 19 Apr 2012 13:59:13 +0200
Subject: [PATCH] iobber py doc

---
 iobber/chunker.py | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/iobber/chunker.py b/iobber/chunker.py
index 27643d0..1ba5019 100644
--- a/iobber/chunker.py
+++ b/iobber/chunker.py
@@ -59,7 +59,13 @@ class Chunker:
 	channels during one run, as specified in layer definitions.
 	Layers are applied sequentially. A layer defines a set of channels
 	that are dealt with at a time.
-	TODO doc
+	A chunker is parametrised with an INI file, defining layers and settings
+	and a WCCL file defing features to be used by the underlying classifier.
+	A new chunker object should be called either load_model to become a
+	functional chunker or train_and_save to infer chunking model from the
+	training data. NOTE: after training the chunker object is still not
+	ready for performance, i.e. the trained model is just saved to disk
+	and requires loading.
 	"""
 	
 	def __init__(self, config_path, data_dir, verbose = False):
-- 
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