mahout-mr 0.10.1
On Tue, Aug 16, 2016 at 9:12 PM, Suneel Marthi <smar...@apache.org> wrote:
> Which Mahout version are u running?
>
> On Tue, Aug 16, 2016 at 7:10 AM, Lee S <sle...@gmail.com> wrote:
>
> > I try to run local mahout job in my main function,
> &
I try to run local mahout job in my main function,
but when execute it come out with exception:
java.lang.NoClassDefFoundError: org/apache/mahout/common/AbstractJob
at java.lang.ClassLoader.defineClass1(Native Method)
at java.lang.ClassLoader.defineClass(ClassLoader.java:760)
at
@Adi this link is for als algorithm, not the item-based implementation.
On Fri, Feb 19, 2016 at 1:09 PM, Adi Haviv <adiha...@gmail.com> wrote:
> collaborative filtering -
> https://codeascraft.com/2014/11/17/personalized-recommendations-at-etsy/
>
> On Fri, Feb 19, 2016 at 8
Hi:
Does anybody know which paper the mr algorithm is based on?
Hi all,
I've read the document of mahout random forest at
https://mahout.apache.org/users/classification/partial-implementation.html.
In the "Know issues and limitations " section,it says
> The "Decision Forest" code is still "a work in progress", many features
> are still missing. Here is a
I have used kmeans in mahout.
And I dumped the clusteredPoints directory, but the label starts with CL or
VL , and the label number is not consecutive number.
How can I make the cluster lable consecutive?
p.s I've read the code of ClusterClassificatonDriver, I think for my need
, change the
code
Lee S sle...@gmail.com:
I compiled mahout with hadop 2.3.0 as following:
1. get the trunck code
git clone https://github.com/apache/mahout.git
2. mvn clean install -Dhadoop2 -Dhadoop2.version=2.3.0 -DskipTests=true
and all build is successful.
3. find hadoop in code base
, Lee S sle...@gmail.com wrote:
Hi all , I have figured this out.
The command should be (mvn clean install -Dhadoop2 -Dhadoop.version=2.3.0
-DskipTests=true ).
Because (hadoop.version2.2.0/hadoop.version) is in the pom.xml, not
hadoop2.version.
Hope this can help somebody who meets
Hi all:
I use gradle to management dependencies in my project.
dependencies {
compile 'org.apache.mahout:mahout-core:0.9'
}
When gradle build , mahout with hadoop 1.2.1 will be downloaded.
Do I need to compile mahout with hadoop 2.3.0 and then include it into my
project locally?
Hi all:
Do you hava any good practice when you deal with catogrical data?
Does mahout have provided a tool class which can do the convertion?
, for recommendations you could
create a mapping of your categorical data to integers before you pass the
data into Mahout.
Let us know a bit more about what you're trying to accomplish/algos you're
looking to use.
Best,
Nick
-Original Message-
From: Lee S [mailto:sle...@gmail.com]
Sent
any other reasons or can you give a thorough analysis?
2014-11-05 11:00 GMT+08:00 Ted Dunning ted.dunn...@gmail.com:
Yes, type conversion is a reason.
Sent from my iPhone
On Nov 4, 2014, at 18:59, Lee S sle...@gmail.com wrote:
eg. kmeans input:
1,2,3,4 //text file
kmeans output
Hi all:
I'm wondering why the input and output of most algorithm like
kmeans,naivebayes are all sequencefiles. One more step of conversion need
to be done if we want the algorithm works.And
I think the step is time consuming. Because it's also a mapreduce job.
For the reason to deal with small
-11-04 23:56 GMT+08:00 Ted Dunning ted.dunn...@gmail.com:
What should the input be?
On Tue, Nov 4, 2014 at 12:28 AM, Lee S sle...@gmail.com wrote:
Hi all:
I'm wondering why the input and output of most algorithm like
kmeans,naivebayes are all sequencefiles. One more step of conversion
As a developer, who is facing the library chosen between mahout and mllib,
I have some idea below.
Mahout has no any decision tree algorithm. But MLLIB has the components of
constructing a decision tree algorithm such as gini index, information
gain. And also I think mahout can add algorithm
For example, one line of data file is like this:
1 3 4 5 6 7
first column is label. Other columns construct the feature vector
2014-10-21 11:17 GMT+08:00 Vibhanshu Prasad vibhanshugs...@gmail.com:
Ordinary files?
What type of file you are using?
On Mon, Oct 20, 2014 at 7:44 AM, Lee S sle
When I run the two commands in hadoop mode , the output are all produced in
the disk. Why is the ouput in the hdfs in hadoop mode to perserve a
consistence?
I hava an ordinary data file containing labels and feature vectors.
How can I use naivebayes to classify it?
The example on the official website is used with text files. Can it be used
on ordinary files?
I wonder if *trainnb* can be directly used on data files only if the format
of data file is
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