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CustomReparametrization.jpg
Custom reparametrization example. The fuller model allows separate learning curves for Task A and Task B, the lesser model constrains curves to be identical. The mismatch between the empirical and theoretical sampling distribution evident in the Goodness-of-Fit graph is expected (as these data were generated using an adaptive method). The script PAL_PFLR_CustomDefine_Demo implements this example and produces a figure like this.

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