[jira] [Commented] (JOSHUA-323) Joshua 6.1 Release Management

[ https://issues.apache.org/jira/browse/JOSHUA-323?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15656191#comment-15656191 ] ASF GitHub Bot commented on JOSHUA-323: --- GitHub user lewismc opened a pull request:

[jira] [Commented] (JOSHUA-323) Joshua 6.1 Release Management

[ https://issues.apache.org/jira/browse/JOSHUA-323?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15656193#comment-15656193 ] Lewis John McGibbney commented on JOSHUA-323: - Progress going well. RAT license headers are

[jira] [Updated] (JOSHUA-317) SyntaxError: invalid syntax scripts/training/run_tuner.py", line 391

[ https://issues.apache.org/jira/browse/JOSHUA-317?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Lewis John McGibbney updated JOSHUA-317: Fix Version/s: (was: 6.1) 6.2 > SyntaxError: invalid syntax

[jira] [Created] (JOSHUA-323) Joshua 6.1 Release Management

Lewis John McGibbney created JOSHUA-323: --- Summary: Joshua 6.1 Release Management Key: JOSHUA-323 URL: https://issues.apache.org/jira/browse/JOSHUA-323 Project: Joshua Issue Type: Task

Re: Lewis Volunteering for 6.1 Release Manager

Just landing back in the states from Berlin. This sounds great Lewis! matt (from my phone) > Le 10 nov. 2016 à 12:02, lewis john mcgibbney a écrit : > > Hi Folks, > I would like to put myself forward as release manager for 6.1. > I've got a lot of experience working with

Re: Lewis Volunteering for 6.1 Release Manager

You rock Lewis. I’ll be sure to test it and am eager! ++ Chris Mattmann, Ph.D. Principal Data Scientist, Engineering Administrative Office (3010) Manager, Open Source Projects Formulation and Development Office (8212) NASA Jet

Re: Joshua Model Input Format(s) and LM Loading

I've done fair amount of measurement and profiling in this area over the last year, so I can offer a little bit of advice as well. First of all make sure you're not just using a Java profiler if you're looking at a model with KenLM. The perf impact of language model calls will be under-reported.