[openstack-dev] ##freemail## Re: [meteos] Meteos Released !!
h-eguchi at az.jp.nec.com
Sat Dec 17 13:30:34 UTC 2016
Thank you for your comments.
As you say, it would be better that Spark runs on container rather than VMs.
However, currently Meteos doesn't support container environment, because Sahara doesn't support.
Meteos depends on Sahara about environment which Spark runs.
I hope that Sahara support Container (Magnum) in future.
I have not evaluated the performance of Meteos in large-scale environment.
If performance problem occurs in VM environment, some kind of action will be needed ( for instance, participate in Sahara project to develop magnum or ironic driver).
<h-eguchi at az.jp.nec.com>
<5cj5jh at bma.biglobe.ne.jp>
From: Denis Makogon [mailto:lildee1991 at gmail.com]
Sent: Saturday, December 17, 2016 6:10 AM
To: OpenStack Development Mailing List (not for usage questions)
Cc: Eguchi Hiroyuki(江口 裕之)
Subject: ##freemail## Re: [openstack-dev] [meteos] Meteos Released !!
Congrats on public release. So, i'd like to clarify few things. I know that for running ML jobs Meteos needs Spark instances and Meteos talks to Sahara to deploy them. So, i'm not quite familiar with infrastructure drives in Sahara, but would that make sense to work with Docker containers rather than deploying virtual machines, the thing is spinning up a VM takes a lot time, but Docker container takes 300ms to start.
2016-12-16 7:14 GMT+02:00 Hiroyuki Eguchi <h-eguchi at az.jp.nec.com>:
I'm pleased to announce the release of Meteos.
Meteos is Machine Learning as a Service (MLaaS) in Apache Spark.
Meteos allows users to analyze huge amount of data and predict a value by data mining and machine learning algorithms.
Meteos create a workspace of Machine Learning via sahara spark plugin and manage some resources and jobs regarding Machine Learning.
Everyone can participate in this project as a user, developer, reviewer in the same way as another OpenStack projects.
Please give it a try.
If you find any requests and comments, please feel free to feedback.
See the following documents to find the relevant information:
Predict a Sales Figures by using LinearRegression Model
Make a Decision to buy a stock by using DecisionTree Model
Recommend a Movie by using Recommendation Model
Search Synonyms by using Word2Vec Model
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