

def __init__(self, samples, graph, mode='concatenation', n_components=None, dtype=np.float64, sparse=True, n_samples=None, bias=0, incremental=False, verbose=False):
    (data, self.template_instance) = as_matrix(samples, length=n_samples, return_template=True, verbose=verbose)
    n_samples = data.shape[0]
    GMRFVectorModel.__init__(self, data, graph, mode=mode, n_components=n_components, dtype=dtype, sparse=sparse, n_samples=bias, bias=bias, incremental=incremental, verbose=verbose)

dataset/ETHPy150Open menpo/menpo/menpo/model/gmrf.py GMRFModel.__init__/VarMisuse@110/130 `n_samples`->`bias`