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lnccbrown / HSSM

Development of HSSM package
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`nan` grads when running `find_MAP()` on `analytic`, `ddm` #456

Open AlexanderFengler opened 3 months ago

AlexanderFengler commented 3 months ago

Something as simple as:

# Test 1: Basic DDM model
cav_data = hssm.load_data("cavanagh_theta")

mCon=hssm.HSSM(
    data=cav_data,
    model="ddm",
)

mCon.find_MAP()

Produces nan grads (as per report from the optimizer). This may be the key to investigating what is going on with the gradients of that model and therefore corresponding sampler pathologies.