mahout | Welcome to Apache Mahout
kandi X-RAY | mahout Summary
kandi X-RAY | mahout Summary
Welcome to Apache Mahout!. Mahout is a scalable machine learning library that implements many different approaches to machine learning. The project currently contains implementations of algorithms for classification, clustering, frequent item set mining, genetic programming and collaborative filtering. Mahout is scalable along three dimensions: It scales to reasonably large data sets by leveraging algorithm properties or implementing versions based on Apache Hadoop. It scales to your perferred business case as it is distributed under a commercially friendly license. In addition it scales in terms of support by providing a vibrant, responsive and diverse community. To compile the sources run 'mvn clean install' To run all the tests run 'mvn test' To setup your ide run 'mvn eclipse:eclipse' or 'mvn idea:idea' For more info on maven see
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Top functions reviewed by kandi - BETA
- Entry point for debugging
- Trains Bounch algorithm
- Backward algorithm
- Runs the forward algorithm on the observed model
- Runs the recommender job
- Set the byte sort
- Performs the recommender
- Set the byte sort
- Runs the recommendations
- Set the byte sort
- Calculates the user similarity between the two user IDs
- Perform a factorization
- Main entry point for the command line tool
- Estimates the best preference for the given user ID
- Entry point for testing of the HMM model
- Trains a supervised sequence using pseudo sequences
- Initialize the random probabilities
- Creates a factorization for the data model
- Trains the viterbi of the given observation sequence
- Optimize the solution
- Performs training program
- Returns the similarity between two users
- The optimization function
- Command line parser
- Calculates the training statistics
- Mapping between words
- Entry point
- Main method for testing
mahout Key Features
mahout Examples and Code Snippets
Community Discussions
Trending Discussions on mahout
QUESTION
I was wondering if any Mahout version has been confirmed to work properly with any version of Hadoop 3.x. It looks like both Cloudera's and Amazon's Hadoop distribution removed Mahout when they went from Hadoop 2 to Hadoop 3. But I cannot find any reason for omitting Mahout.
Does anyone have a source or personal experience that indicates that Mahout can work with Hadoop 3?
...ANSWER
Answered 2021-Feb-24 at 06:54The hadoop version recommended by trunk branch of Mahout on git hub is hadoop-2.4.1
but take a look at this dockerfile on maser branch: https://github.com/apache/mahout/blob/master/docker/build/Dockerfile
it uses spark v2.3.1 on hadoop 3.0 gettyimages/spark:2.3.1-hadoop-3.0
hope it could help
QUESTION
I can't manage to pull Twitter data using Flume into HDFS due to an error I cant't get rid of.
command :
...ANSWER
Answered 2020-Dec-18 at 15:24I managed to make it works. For those who want to know, please read this.
Firstly, change the Flume version. I use now flume 1.7.0 https://flume.apache.org/releases/1.7.0.html. But maybe a newer version would work, I don't want to break it down :)
Secondly, clone this repo https://github.com/cloudera/cdh-twitter-example. Inside, there is a flume.conf file. I configured it like that :
QUESTION
I am trying to create my cluster using bootstrap actions option (which install boto3 on all nodes), but getting always Master instance failed attempting to download bootstrap action 1 file from S3
my bootstrapfile:
sudo pip install boto3
Command to create cluster :
aws emr create-cluster --applications Name=Hadoop Name=Hive Name=Hue Name=Mahout Name=Pig Name=Tez --ec2-attributes "{\"KeyName\":\"key-ec2\",\"InstanceProfile\":\"EMR_EC2_DefaultRole\",\"SubnetId\":\"subnet-49ad9733\",\"EmrManagedSlaveSecurityGroup\":\"sg-009d9df2b7b6b1302\",\"EmrManagedMasterSecurityGroup\":\"sg-0149cdd6586fe6db5\"}" --service-role EMR_DefaultRole --enable-debugging --release-label emr-5.30.1 --log-uri "s3n://aws-logs-447793603558-us-east-2/elasticmapreduce/" --name "MyCluster" --instance-groups "[{\"InstanceCount\":1,\"EbsConfiguration\":{\"EbsBlockDeviceConfigs\":[{\"VolumeSpecification\":{\"SizeInGB\":32,\"VolumeType\":\"gp2\"},\"VolumesPerInstance\":1}]},\"InstanceGroupType\":\"MASTER\",\"InstanceType\":\"m4.large\",\"Name\":\"Master Instance Group\"},{\"InstanceCount\":2,\"EbsConfiguration\":{\"EbsBlockDeviceConfigs\":[{\"VolumeSpecification\":{\"SizeInGB\":32,\"VolumeType\":\"gp2\"},\"VolumesPerInstance\":1}]},\"InstanceGroupType\":\"CORE\",\"InstanceType\":\"m4.large\",\"Name\":\"Core Instance Group\"}]" --scale-down-behavior TERMINATE_AT_TASK_COMPLETION --region us-east-2 --bootstrap-action Path=s3://calculsdistribues/bootstrap-emr.sh
I already created successfuly cluster without the bootstrap-action option.
What is the mistake here ? how my bootstrap file should looks like ? Thank you
...ANSWER
Answered 2020-Jul-19 at 22:46Make sure you have given read access to s3 bucket where your bootstrap script is present for the Instace profile "InstanceProfile\":\"EMR_EC2_DefaultRole
QUESTION
Text file has over 50K lines with this format
...ANSWER
Answered 2020-May-01 at 15:37Using ast.literal_eval you can convert string list to list
QUESTION
Original txt file:
...ANSWER
Answered 2020-May-01 at 05:30If the text to be removed is always exactly as above. You can do a simple replace.
QUESTION
After adding apache.mahout to my pom.xml I started to have this warning when i run my spring project and i want to know how supress this warning.
...ANSWER
Answered 2020-Mar-26 at 20:39- You need to find out who pulls in slf4j-log4j. Do a "mvn:dependency:tree" on the command line in your pom.xml directory and find the dependency that pulls it in.
- Put the exclusion on that dependency. Global exclusions don't work.
- That should work.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install mahout
You can use mahout like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the mahout component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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