v0.9.9

Signed-off-by: David Ohana <david.ohana@ibm.com>

Author: davidohana

README.md

@@ -83,7 +83,7 @@ post: [Use open source Drain3 log-template mining project to monitor for network
 - [**Masking**](#masking). Replace some message parts (e.g numbers, IPs, emails) with wildcards. This improves the
   accuracy of template mining.
 - [**Packaging**](#installation). As a pip package.
-- [**Configuration**](#configuration) Support for configuring Drain3 using an `.ini` file or a configuration object. 
+- [**Configuration**](#configuration). Support for configuring Drain3 using an `.ini` file or a configuration object. 
 - [**Memory efficiency**](#memory-efficiency). Decrease the memory footprint of internal data structures and introduce
   cache to control max memory consumed (thanks to @StanislawSwierc)
 - [**Inference mode**](#training-vs-inference-modes). In case you want to separate training and inference phase, Drain3

setup.py

@@ -11,7 +11,7 @@
 setup(
     name='drain3',
     packages=['drain3'],
-    version="0.9.8",
+    version="0.9.9",
     license='MIT',
     description="Persistent & streaming log template miner",
     long_description=long_description,