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https://issues.apache.org/jira/browse/OPENNLP-1226?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16977964#comment-16977964
]
Simon poortman commented on OPENNLP-1226:
-----------------------------------------
[root@cloudpoc3 ~]# more /etc/aurora/clusters.json
[
{ "auth_mechanism": "UNAUTHENTICATED", "name": "devcluster",
"scheduler_zk_path": "/aurora/scheduler", "slave_root": "/var/lib/mesos",
"slave_run_directory": "latest", "zk": "127.0.0.1" }
]
+_*The below is hello_world.aurora [file:*_+|file:///*_+]
pkg_path = '/opt/aurora_test/hello_world.py'
# we use a trick here to make the configuration change with
# the contents of the file, for simplicity. in a normal setting, packages
would be
# versioned, and the version number would be changed in the configuration.
import hashlib
with open(pkg_path, 'rb') as f:
pkg_checksum = hashlib.md5(f.read()).hexdigest()
# copy hello_world.py into the local sandbox
install = Process(
name = 'fetch_package',
cmdline = 'cp %s . && echo %s && chmod +x hello_world.py' % (pkg_path,
pkg_checksum))
# run the script
# cmdline = 'python -u hello_world.py'
{color:#ff0000}hello_world = Process({color}
{color:#ff0000}name = 'hello_world',{color}
{color:#ff0000}cmdline = 'echo "----gang---hello aurora-------";'){color}
# describe the task
hello_world_task = SequentialTask(
processes = [hello_world],
resources = Resources(cpu = 2, ram = 4096*MB, disk=4096*MB))
jobs = [
Service(cluster = 'devcluster',
environment = 'devel',
role = 'www-data',
name = 'hello_world',
task = hello_world_task)
> dd.mm.yyyy Date format in txt file for .bin model training
> ----------------------------------------------------------
>
> Key: OPENNLP-1226
> URL: https://issues.apache.org/jira/browse/OPENNLP-1226
> Project: OpenNLP
> Issue Type: Question
> Components: Formats
> Reporter: Olga
> Priority: Blocker
> Labels: newbie
> Attachments: 49B59671-282D-4AEF-BB56-3B9439433F32.jpeg,
> 73EA1520-1D86-4CF2-84A6-718742ADEE67.jpeg,
> 88F58024-0D0B-48FB-A382-723D7DADC8AA.jpeg,
> CE401D05-AF99-4DA2-B1BA-439822AA4275.jpeg
>
>
> My txt file for model training has date tags in <START:date> dd.mm.yyyy <END>
> format. But when I try to use the trained .bin file, the dates are not
> extracted as they should. My txt tagged file is written one sentence in line.
> I was wondering maybe the format, and the fullstops in this date format make
> a difficulty for the model to learn. In the official OpenNLP documentation I
> can see there is a bin file with date extraction, but I can't see the txt
> file containing the tags.
> I tried to open this bin as a txt format but I read in Stack Overflow that I
> can't do that.
> https://stackoverflow.com/questions/26140492/how-can-i-view-the-content-of-a-bin-file-in-opennlp
>
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