libsvm | LIBSVM -- A Library for Support Vector Machines

 by   arnaudsj C Version: Current License: Non-SPDX

kandi X-RAY | libsvm Summary

kandi X-RAY | libsvm Summary

libsvm is a C library typically used in Big Data, Spark, Maven, JavaFX, Hadoop applications. libsvm has no bugs, it has no vulnerabilities and it has low support. However libsvm has a Non-SPDX License. You can download it from GitHub.

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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              libsvm has a low active ecosystem.
              It has 117 star(s) with 68 fork(s). There are 15 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 1 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of libsvm is current.

            kandi-Quality Quality

              libsvm has 0 bugs and 0 code smells.

            kandi-Security 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.

            kandi-License License

              libsvm has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

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              libsvm releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.
              It has 4155 lines of code, 115 functions and 23 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

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            libsvm Examples and Code Snippets

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            Community Discussions

            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:

            ...

            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

            ...

            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.

            ...

            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.

            ...

            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.

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

            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 :

            ...

            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 :

            1. I've extract emacs in my specified directory and add it's bin path to the system variable PATH

            2. I've created a another new directory named C:\HOME and add it system variable with variable HOME and value C:\HOME

            3. 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.

            4. 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

            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' and `svm-predict' 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').
            Windows binaries are in the directory `windows'. To build them via Visual C++, use the following steps:. "C:\Program Files\Microsoft Visual Studio 10.0\VC\bin\vcvars32.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

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