LibsvmModel train

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train(self, frame, label_column, observation_columns, svm_type=2, kernel_type=2, weight_label=None, weight=None, epsilon=0.001, degree=3, gamma=None, coef=0.0, nu=0.5, cache_size=100.0, shrinking=1, probability=0, nr_weight=1, c=1.0, p=0.1)

[ALPHA] Train a Lib Svm model

Parameters:

frame : Frame

A frame to train the model on.

label_column : unicode

Column name containing the label for each observation.

observation_columns : list

Column(s) containing the observations.

svm_type : int32 (default=2)

Set type of SVM. Default is one-class SVM.

0 – C-SVC

1 – nu-SVC

2 – one-class SVM

3 – epsilon-SVR

4 – nu-SVR

kernel_type : int32 (default=2)

Specifies the kernel type to be used in the algorithm. Default is RBF.

0 – linear: u’*v

1 – polynomial: (gamma*u’*v + coef0)^degree

2 – radial basis function: exp(-gamma*|u-v|^2)

3 – sigmoid: tanh(gamma*u’*v + coef0)

weight_label : list (default=None)

Default is (Array[Int](0))

weight : list (default=None)

Default is (Array[Double](0.0))

epsilon : float64 (default=0.001)

Set tolerance of termination criterion

degree : int32 (default=3)

Degree of the polynomial kernel function (‘poly’). Ignored by all other kernels.

gamma : float64 (default=None)

Kernel coefficient for ‘rbf’, ‘poly’ and ‘sigmoid’. Default is 1/n_features.

coef : float64 (default=0.0)

Independent term in kernel function. It is only significant in ‘poly’ and ‘sigmoid’.

nu : float64 (default=0.5)

Set the parameter nu of nu-SVC, one-class SVM, and nu-SVR.

cache_size : float64 (default=100.0)

Specify the size of the kernel cache (in MB).

shrinking : int32 (default=1)

Whether to use the shrinking heuristic. Default is 1 (true).

probability : int32 (default=0)

Whether to enable probability estimates. Default is 0 (false).

nr_weight : int32 (default=1)

NR Weight

c : float64 (default=1.0)

Penalty parameter c of the error term.

p : float64 (default=0.1)

Set the epsilon in loss function of epsilon-SVR.

Creating a lib Svm Model using the observation column and label column of the train frame.

Examples

See here for examples.