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How to use the fancyimpute.ConvexSolver function in fancyimpute

To help you get started, we’ve selected a few fancyimpute examples, based on popular ways it is used in public projects.

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iskandr / fancyimpute / test / test_rank1.py View on Github

def test_rank1_symmetric_convex_solver():
    completed = ConvexSolver(require_symmetric_solution=True).complete(
        XYXY_missing)
    assert abs(completed[1, 2] - XYXY[1, 2]) &lt; 0.001, \
        "Expected %0.4f but got %0.4f" % (
            XYXY[1, 2], completed[1, 2])

iskandr / fancyimpute / test / test_rank1.py View on Github

def test_rank1_convex_solver():
    XY_completed = ConvexSolver().complete(XY_missing)
    assert abs(XY_completed[1, 2] - XY[1, 2]) &lt; 0.001, \
        "Expected %0.4f but got %0.4f" % (
            XY[1, 2], XY_completed[1, 2])