libsvm | LIBSVM -- A Library for Support Vector Machines

by cjlin1 Java Version: 3.31 License: BSD-3-Clause

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | libsvm Summary

libsvm is a Java library typically used in Big Data, Spark, Maven, Hadoop applications. libsvm has no bugs, it has no vulnerabilities, it has a Permissive License and it has high support. However libsvm build file is not available. You can download it from GitHub, Maven.

Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression. It also provides an automatic model selection tool for C-SVM classification. This document explains the use of libsvm. Libsvm is available at Please read the COPYRIGHT file before using libsvm.

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Support

libsvm has a highly active ecosystem.

It has 4315 star(s) with 1646 fork(s). There are 300 watchers for this library.

It had no major release in the last 12 months.

There are 78 open issues and 54 have been closed. On average issues are closed in 217 days. There are 31 open pull requests and 0 closed requests.

It has a positive sentiment in the developer community.

The latest version of libsvm is 3.31

Quality

libsvm has 0 bugs and 0 code smells.

Security

libsvm has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

libsvm code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

libsvm is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

libsvm releases are not available. You will need to build from source code and install.

Deployable package is available in Maven.

libsvm has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

libsvm saves you 3246 person hours of effort in developing the same functionality from scratch.

It has 7061 lines of code, 185 functions and 21 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed libsvm and discovered the below as its top functions. This is intended to give you an instant insight into libsvm implemented functionality, and help decide if they suit your requirements.

Initialize the gridbag
Command line
Called when a file is saved
Load a file
Performs the reduction
Reconstructs the gradient
Swap the elements of the matrix
Checks to see if the node is smaller than max
Get the q for the kernel
RGB number of times
Compute the dot product between two vectors
Get data from head
Main function for testing
Make the prediction
Read svm model header
Load a model from a file
Swap the specified indices
Swaps two elements of the list
Swaps the two elements of the matrix
Calculate rho
Swap two elements
Process a mouse event
Paint this sprite
Selects the optimal work set
Get the q - value of the kernel
Get q for index

Get all kandi verified functions for this library.

libsvm Key Features

No Key Features are available at this moment for libsvm.

libsvm Examples and Code Snippets

No Code Snippets are available at this moment for libsvm.

Community Discussions

Trending Discussions on libsvm

how should i deal with this error on gridsearch and multisearch with pyweka?

Python ValueError To many values to unpack

LibSVM using Weka command line

Why do I get an error that Sagemaker Endpoint does not have multiple models when it does?

How do I use cross validation in libSVM?

How to add Mlib library to Spark?

there is no package with name "QL". while installing clisp

image.sampleRegions is not a function (supervised classification at google earth engine)

Issue/Bug when loading and applying MultilayerPerceptronClassifier in Spark Version 3.0.0

Why does this ConcurrentHashMap stream only run half of entries at a time?

QUESTION

how should i deal with this error on gridsearch and multisearch with pyweka?

Asked 2022-Feb-21 at 22:40

I have this code for gridsearch:

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ANSWER

Answered 2022-Feb-21 at 22:40

The exceptions that you listed do not affect the script execution, as they get handled internally by pww3 (error output could not be suppressed, unfortunately, despite catching the exceptions; this gets output by the underlying javabridge library).

A bit of background: Since pww3 can run with and without package support, it first tries to load classes using the Java classloader. If that fails (that's the error message that you see), it will try loading them using Weka's mechanism for loading classes.

The just released version 0.2.7 of pww3 approaches this a bit more intelligent and avoids the output of these exceptions.

Final note: you need to drop the classifier. prefix in your property names when using MultiSearch.

Source https://stackoverflow.com/questions/71131619

QUESTION

Python ValueError To many values to unpack

Asked 2021-Nov-14 at 12:48

Iam struggling to understand why the first way works and the second throws error.
Suppose we have this array

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ANSWER

Answered 2021-Nov-14 at 12:37

The error is in your data:

interests =[(0,"Hadoop"),(0,"Big Data"),(0,"HBase"),(0,"Java"),(0,"Spark"),(0,"Storm"),(0,"Cassandra"),(1,"NoSQL",0), (1,"MongoDB"),(1,"Cassandra"),(1,"HBase"),(1,"Postgres"),(2,"Python"),(2,"scikit-learn"),(2,"scipy"),(2,"numpy"), (2,"statsmodels"),(2,"pandas"),(3,"R"),(3,"Python"),(3,"statistics"),(3,"regression"),(3,"probability"), (4,"machine learning"),(4,"regression"),(4,"decision trees"),(4,"libsvm"),(5,"Python"),(5,"R"),(5,"Java"), (5,"C++"),(5,"Haskell"),(5,"programming languages"),(6,"statistics"),(6,"probability"),(6,"mathematics"), (6,"theory"),(7,"machine learning"),(7,"scikit-learn"),(7,"Mahoot"),(7,"neural networks"),(8,"neural networks"), (8,"deep learning"),(8,"Big Data"),(8,"artificial intelligence"),(9,"Hadoop"),(9,"Java"),(9,"MapReduce"), (9,"Big Data")]

You have a third element in the bolded text which python is complaining about.

Source https://stackoverflow.com/questions/69963028

QUESTION

LibSVM using Weka command line

Asked 2021-Sep-13 at 22:09

I am trying to use LibSVM from weka command line but it gives me error: Error: Could not find or load main class weka.classifiers.functions.LibSVM I tried java -cp weka.jar:LibSVM.jar:"C:\wekafiles\packages\LibSVM\LibSVM.jar":"\wekafiles\packages\LibSVM\lib\libsvm.jar" weka.classifiers.functions.LibSVM -S 0 -K 1 -D 3 -G 0.0 -R 0.0 -N 0.5 -M 40.0 -C 1.0 -E 0.001 -P 0.1 -model D:\Weka-3-8-5 -seed 1 Other ML algorithms works but the one I installed using weka are not working from command line.

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ANSWER

Answered 2021-Sep-13 at 22:09

Since you installed LibSVM as a Weka package, you should run it using the weka.Run class instead of assembling the classpath manually:

Source https://stackoverflow.com/questions/69159418

QUESTION

Why do I get an error that Sagemaker Endpoint does not have multiple models when it does?

Asked 2021-Aug-26 at 06:34

Invoking a multimodel Sagemaker Endpoint, I get an error that it is not multimodel. I create it like this.

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ANSWER

Answered 2021-Aug-26 at 06:34

The answer (see GitHub discussion) is that this error message is simply false.

To avoid this error, the model's local filename (usually for the form model_filename.tar.gz) must be used, not the model name.

The documentation does say this, though it lacks essential detail.

I found this to be the best example. See the last part of that Notebook, in which invoke_endpoint is used (rather than a predictor as used earlier in the Notebook).

As to the location of that model file: This Notebook says:

When creating the Model entity for multi-model endpoints, the container's ModelDataUrl is the S3 prefix where the model artifacts that are invokable by the endpoint are located. The rest of the S3 path will be specified when invoking the model.

Source https://stackoverflow.com/questions/68802388

QUESTION

How do I use cross validation in libSVM?

Asked 2021-Jan-11 at 08:19

I wrote a code in eclipse to do something as follows.

run svm_train while using an input from output.txt whose data format is libSVM.
use cross validation while adding "-v 3" in parameter.
show an output from libSVM on console.

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ANSWER

Answered 2021-Jan-11 at 08:19

new ProcessBuilder(
            "C:\\libsvm-3.24\\windows\\svm-train.exe","-v 3",
            "option10output.txt")

Source https://stackoverflow.com/questions/65663232

QUESTION

How to add Mlib library to Spark?

Asked 2020-Dec-04 at 13:33

I was given assignment to run some code and show results using the Apache Spark using Python Language, I installed the Apache Spark server using the following steps: https://phoenixnap.com/kb/install-spark-on-windows-10. I tried my code and everything was fine. Now I am assigned another assignment, it needs MLlib linear regression and they provide us with some code that should be running then we will add additional code for it. When I try to run the code I have some errors and warnings, part of them appeared in the previous assignment but it still working. I believe the issue is that there are additiona things related to Mlib Library should be added so the code will run correctly. Anybody has any idea what files should be added to the spark so it runs the code related to MLib? I am using Windows 10, and spark-3.0.1-bin-hadoop2.7

This is my code :

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ANSWER

Answered 2020-Dec-02 at 12:46

Try to do pip install numpy (or pip3 install numpy if that fails). The traceback says numpy module is not found.

Source https://stackoverflow.com/questions/65108351

QUESTION

there is no package with name "QL". while installing clisp

Asked 2020-Aug-21 at 17:00

I'm trying to install lisp in my laptop by following the instruction command and steps that is suggested this site : https://grishagin.com/lisp/windows10/2017/01/26/install-lisp-Windows10.html. I have done following steps :

I've extract emacs in my specified directory and add it's bin path to the system variable PATH
I've created a another new directory named C:\HOME and add it system variable with variable HOME and value C:\HOME
Clisp 2.48 is installed in my lisp directory and To fix some problem, copied svm.dll out of clisp- 2.48/libsvm directory into clisp-2.48/full.
Place quicklisp.lisp into lisp directory and run following code in clisp

(load "C:/lisp/quicklisp.lisp"), (quicklisp-quickstart:install :path "C:/lisp/quicklisp/")

this two command worked but when i go from next command : (ql:add-to-init-file) It shows this error :- READ from #: there is no package with name "QL".

Can anyone please help to solve this error and explain how does this all help for lisp to keep working?

...

ANSWER

Answered 2020-Aug-21 at 17:00

So, in the QuickLisp installation instructions, it says:

Source https://stackoverflow.com/questions/63230585

QUESTION

image.sampleRegions is not a function (supervised classification at google earth engine)

Asked 2020-Jul-17 at 15:26

Hello I'm a beginner currently working on supervised classification in Google Earth Engine. I can't seem to get past the problem 'image.sampleRegions is not a function'. Here are the script that I use.

...

ANSWER

Answered 2020-Jul-17 at 07:34

Hard to guess from your code, but with a little bit of debugging you might figure it out. Try to console.log what exactly image.sampleRegions is and what are the properties of image object. From there you might be able to see what's wrong - undefined property, wrong type, etc.

AD: After quick look into GEE docs I'd say try wrapping your collection porcessing into ee.Image(). Maybe that will help:

Source https://stackoverflow.com/questions/62948540

QUESTION

Issue/Bug when loading and applying MultilayerPerceptronClassifier in Spark Version 3.0.0

Asked 2020-Jul-14 at 14:11

IllegalArgumentException: MultilayerPerceptronClassifier_... parameter solver given invalid value auto

I believe I have discovered a bug when loading MultilayerPerceptronClassificationModel in spark 3.0.0, scala 2.1.2 which I have tested and can see is not there in at least Spark 2.4.3, Scala 2.11. .

I am using pyspark on a databricks cluster and importing the library “from pyspark.ml.classification import MultilayerPerceptronClassificationModel”

When running model=MultilayerPerceptronClassificationModel.(“load”) and then model. transform (df) I get the following error: IllegalArgumentException: MultilayerPerceptronClassifier_8055d1368e78 parameter solver given invalid value auto.

This issue can be easily replicated by running the example given on the spark documents: http://spark.apache.org/docs/latest/ml-classification-regression.html#multilayer-perceptron-classifier

Then adding a save model, load model and transform statement as such:

...

ANSWER

Answered 2020-Jul-09 at 07:27

Bug has been confirmed Jira opened: : https://issues.apache.org/jira/browse/SPARK-32232

Source https://stackoverflow.com/questions/62790821

QUESTION

Why does this ConcurrentHashMap stream only run half of entries at a time?

Asked 2020-Jul-04 at 13:41

I'm mystified by this curiosity. (I'm using ConcurrentHashMap rather than ConcurrentSkipListSet because the class doesn't implement Comparable.) I've got plenty of free CPUs on the computer and there is no difference between the classes that are run in the stream (other than random number generation). It's suspicious that the even numbers run first (consistently).

Here are the code and output with nRuns=10. I would expect all 10 threads to fire up and run simultaneously (as they usually do in my other uses of ConcurrentHashMap). Could it be due to some static code in LIBSVM that gets called by SvmCrossValidator? That's all I can think of. It seems to me from a basic Java perspective this stream should launch all 10 processes at once.

...

ANSWER

Answered 2020-Jun-29 at 12:40

I think 2 things affect this. Firstly add thread name to your System.out to make the worker threads clearer:

Source https://stackoverflow.com/questions/62625761

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install libsvm

If you are new to SVM and if the data is not large, please go to `tools' directory and use easy.py after installation. It does everything automatic — from data scaling to parameter selection. Usage: easy.py training_file [testing_file]. More information about parameter selection can be found in `tools/README.'.
On Unix systems, type `make' to build the `svm-train', `svm-predict', and `svm-scale' programs. Run them without arguments to show the usages of them. On other systems, consult `Makefile' to build them (e.g., see 'Building Windows binaries' in this file) or use the pre-built binaries (Windows binaries are in the directory `windows').
classification: <label> is an integer indicating the class label (multi-class is supported).
For regression, <label> is the target value which can be any real number.
For one-class SVM, <label> is not used and can be any number.
Windows binaries are available in the directory `windows'. To re-build them via Visual C++, use the following steps:. "C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Auxiliary\Build\vcvars64.bat". You may have to modify the above command according which version of VC++ or where it is installed. nmake -f Makefile.win clean all. nmake -f Makefile.win lib. Another way is to build them from Visual C++ environment. See details in libsvm FAQ.
Open a DOS command box (or Visual Studio Command Prompt) and change to libsvm directory. If environment variables of VC++ have not been set, type
Type
(optional) To build shared library libsvm.dll, type
(optional) To build 32-bit windows binaries, you must (1) Setup "C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Auxiliary\Build\vcvars32.bat" instead of vcvars64.bat (2) Change CFLAGS in Makefile.win: /D _WIN64 to /D _WIN32

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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