ott.solvers.utils.match_linear# ott.solvers.utils.match_linear(x, y, cost_fn=None, epsilon=None, scale_cost=1.0, **kwargs)[source]# Compute solution to a linear OT problem. Parameters: x (Array) – Source point cloud of shape [n, d]. y (Optional[Array]) – Target point cloud of shape [m, d]. cost_fn (Optional[CostFn]) – Cost function. epsilon (Optional[float]) – Regularization parameter. scale_cost (Union[float, Literal['mean', 'max_cost', 'median']]) – Scaling of the cost matrix. kwargs (Any) – Additional arguments for ott.solvers.linear.solve(). Return type: Array Returns: Optimal transport matrix.
