Member since
02-07-2014
34
Posts
0
Kudos Received
5
Solutions
My Accepted Solutions
Title | Views | Posted |
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5286 | 03-01-2014 09:00 AM | |
11223 | 02-19-2014 12:49 PM | |
11228 | 02-19-2014 11:23 AM | |
8946 | 02-19-2014 10:28 AM | |
11234 | 02-15-2014 02:23 PM |
12-20-2014
04:38 PM
Ps HortonWorks already does the yum accumulo, but I use cloudera products.
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12-20-2014
04:37 PM
If you could set it up to do so with both Cloudera and Spark QuickStart with yum to install 1.6 that would be awsome. I spend so much time gettign things installed rather than concentrating on solving algorithmic issues. You would so rock!!!! thanks!
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12-13-2014
01:28 PM
I am trying to install accumulo 1.6 in the current quickstart cdh5.2.x distribution (downloaded 12/13/2014) to train folks. I am suprised it is not pre-installed. I want to be able to compile and run accumulo client programs in java and get to apprpriate java docs for accumulo. I tried the instructions at http://www.cloudera.com/content/cloudera/en/documentation/Accumulo/latest/PDF/Apache-Accumulo-Installation-Guide.pdf Install Apache Accumulo from Distribution Packages This section describes how to install Cloudera's packaging of Accumulo from packages (RPM or DEB) instead of using Cloudera Manager. I am not sure to use rpms, repo, .targz. I find the instructions somewhat confusing and would appreciate your assistance. thanks in advance.
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Labels:
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Apache Accumulo
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Cloudera Manager
11-19-2014
05:53 AM
Thanks veru much, I am new to Spark and drank the coolade on the communative and assoviative mandate for Cluster-based algorighms I very much appreciate you providing me an accurate view on implementations. I am very interested in the parelization of SNA and ML algorithms on clusters and appreciate any reading/references you can provide me. Thanks again for your time and insignt and I appreciate any further insight you can provide. In short; thanks Mate! Chris
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11-18-2014
01:30 PM
This is what I ment by communative and associative properties Here is a reference: http://www.mathsisfun.com/associative-commutative-distributive.html . I am not being condecending; I like it because it has pictures and it is not boring to read. Yes I mean Hadoop Clusters. Decision Forests yes. Random Forests See ref: http://en.wikipedia.org/wiki/Random_forest and http://www.whrc.org/education/indonesia/pdf/DecisionTrees_RandomForest_v2.pdf I don't know and would like to know of any current approaches and or existing Linraries for Hadoop Clusters (or Spark) All I have seen thus far is bagging of data sets but not features as described in the reference. Thanks for your assistance! Chris
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11-18-2014
07:29 AM
The more I look at ML Libraries for clusters, the more I see limitations because of the need to meet communitive and associative constraints. I had used scikitlearn Random Forests on multi core (not clusters) and found it to be superior to SVMs for non-linear classifications with high dim. Are there any good references on what ML (Supervised/Unsupervised and Hybrid) algorithms can and cannot work on Apache-Like Clusters (Hadoop, Hbase, Spark, Accumulo) and why? Furthermore, are there any good references on what does work well currently and under what conditions? thanks Mate, Chris
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11-16-2014
04:44 PM
Thnaks Mate! Any word on 1.2 Spark ML Random Forests ... are decision forests jsut classification trees with bagging for datasets and not featured? Chris
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11-16-2014
01:06 PM
Does Spark ML and Mahout support Random Forest in clusters? Are there examples. If not why; what would be closest that are currently supported? How about SVMs ... examples Many thnaks mates!
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Labels:
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Apache Spark
11-14-2014
01:00 PM
Thanks Mate! Will give it a shot!
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