a87d9f9cae817a53f6ee63819a665f33de5b057b,test/test_rbm.py,,test_rbm,#Any#,11

Before Change

                                      data,
                                      metrics=["ReconstructionError",
                                               "EnergyDistance"])
    print("Final performance metrics:")
    performance.check_progress(rbm, 0, show=True)

    metdict = {m.name: m.value() for m in performance.metrics}

After Change

                                data,
                                metrics=[
                                "ReconstructionError"])
    untrained_performance = perf.check_progress(rbm, 0)


    // set up the optimizer and the fit method
    opt = optimizers.RMSProp(rbm,

Instances