train(y, x [, options]) -> model | ACC y: a list/tuple/ndarray of l true labels (type must be int/double). x: 1. a list/tuple of l training instances. Feature vector of each training instance is a list/tuple or dictionary. 2. an l * n numpy ndarray or scipy spmatrix
(arg1, arg2=None, arg3=None)
source not stored for this graph (policy: none)
nothing calls this directly
no test coverage detected