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Update PyAMG URL (no longer in Google Code)
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@@ -214,7 +214,7 @@ def random_walker(data, labels, beta=130, mode='bf', tol=1.e-3, copy=True,
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- 'cg_mg' (conjugate gradient with multigrid preconditioner): a
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preconditioner is computed using a multigrid solver, then the
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solution is computed with the Conjugate Gradient method. This mode
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requires that the pyamg module (http://code.google.com/p/pyamg/) is
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requires that the pyamg module (http://pyamg.org/) is
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installed. For images of size > 512x512, this is the recommended
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(fastest) mode.
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@@ -379,7 +379,7 @@ def random_walker(data, labels, beta=130, mode='bf', tol=1.e-3, copy=True,
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if mode == 'cg_mg':
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if not amg_loaded:
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warnings.warn(
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"""pyamg (http://code.google.com/p/pyamg/)) is needed to use
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"""pyamg (http://pyamg.org/)) is needed to use
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this mode, but is not installed. The 'cg' mode will be used
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instead.""")
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X = _solve_cg(lap_sparse, B, tol=tol,
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