LibsvmModel score

---

score(self, vector)

[ALPHA] Calculate the prediction label for a single observation.

Parameters:

vector : None

Returns:

: dict

Predicted label.

Examples

>>> my_model = ta.LibsvmModel(name='mySVM')
>>> my_model.train(train_frame, 'name_of_label_column',['name_of_observation_column1'])
>>> predicted_label = my_model.score([-0.79798,   -0.0256669,    0.234375,   0.0140301,   -0.282051,    0.025012])