0 ×

LIBSVMLearner

KNIME LIBSVM Nodes version 4.1.0.v201911110939 by KNIME AG, Zurich, Switzerland

LIBSVM v2.89 is an integrated software for support vector classification. For a more detailed description - especially of the parameters - see the webpage.

Options

Type of SVM
Set type of SVM (default is C-SVM) C-SVC, nu-SVC, one-class SVM, epsilon-SVR, nu-SVR.
Kernel
Set type of kernel function (default is polynomial).
  • linear: u'*v
  • polynomial: (gamma*u'*v + coef0)^degree
  • radial basis function: exp(-gamma*|u-v|^2)
  • sigmoid: tanh(gamma*u'*v + coef0)
Degree
Set degree in kernel function.
Gamma
Set gamma in kernel function (a good value is 1/nrAttributes).
Coef0
Set coef0 in kernel function.
Cost
Set the parameter C of C-SVC, epsilon-SVR, and nu-SVR.
Nu
Set the parameter nu of nu-SVC, one-class SVM, and nu-SVR.
Loss-Epsilon
Set the epsilon in loss function of epsilon-SVR.
Cachesize
Set cache memory size in MB.
Epsilon
Set tolerance of termination criterion.
Shrinking
Whether to use the shrinking heuristics.
Probability estimates
Whether to train a SVC or SVR model for probability estimates.
Target column
The target column, can be nominal for classification or numerical for regression.

Input Ports

DataTable containing the training data. Keep in mind that the computational complexitiy is in O(n^2), therefore do not use more than 15.000 rows.

Output Ports

The trained SVM model in LIBSVM format.

Best Friends (Incoming)

Best Friends (Outgoing)

Installation

To use this node in KNIME, install KNIME LIBSVM Integration from the following update site:

KNIME 4.1

A zipped version of the software site can be downloaded here. Read our FAQs to get instructions about how to install nodes from a zipped update site.

Wait a sec! You want to explore and install nodes even faster? We highly recommend our NodePit for KNIME extension for your KNIME Analytics Platform.

Developers

You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.