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Showing content from http://pystruct.github.io/generated/pystruct.models.MultiLabelClf.html below:

pystruct.models.MultiLabelClf — pystruct 0.2.4 documentation

x : tuple

Instance of a graph with unary evidence. x=(unaries, edges) unaries are an nd-array of shape (n_nodes, n_features), edges are an nd-array of shape (n_edges, 2)

y : ndarray, shape (n_nodes,)

Ground truth labeling relative to which the loss will be measured.

w : ndarray, shape=(size_joint_feature,)

Parameters for the CRF energy function.

relaxed : bool, default=False

Whether relaxed inference should be performed. Only meaningful if inference method is ‘lp’ or ‘ad3’. By default fractional solutions are rounded. If relaxed=True, fractional solutions are returned directly.

return_energy : bool, default=False

Whether to return the energy of the solution (x, y) that was found.


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