def __init__(self, n, conc=<NUM_LIT:1>, name='<STR_LIT>'):
if n < <NUM_LIT:2>:<EOL><INDENT>raise ValueError('<STR_LIT>'<EOL>'<STR_LIT>')<EOL><DEDENT>self.n = n<EOL>self.params = numpy.ones(n, dtype=numpy.float) * conc<EOL>self.name = name<EOL>
Initializes a Dirichlet distribution.

        n: number of dimensions
        conc: concentration parameter (smaller yields more concentration)
        name: string name