LibsvmModel new

---

__init__(self, name=None)

[ALPHA] Create a ‘new’ instance of a Support Vector Machine model.

Parameters:

name : unicode (default=None)

User supplied name.

Returns:

: <bound method AtkEntityType.__name__ of <trustedanalytics.rest.jsonschema.AtkEntityType object at 0x7f9e68702090>>

Support Vector Machine [R15] is a supervised algorithm used to perform binary classification. A support vector machine constructs a high dimensional hyperplane which is said to achieve a good separation when a hyperplane has the largest distance to the nearest training-data point of any class. This model runs the LIBSVM [R16] [R17] implementation of SVM. The LIBSVM model is initialized, trained on columns of a frame, used to predict the labels of observations in a frame and used to test the predicted labels against the true labels. During testing, labels of the observations are predicted and tested against the true labels using built-in binary Classification Metrics.

[R15]

https://en.wikipedia.org/wiki/Support_vector_machine

[R16]

https://www.csie.ntu.edu.tw/~cjlin/libsvm/

[R17]

https://en.wikipedia.org/wiki/LIBSVM