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asset⌬ modulemoduleprimary: init.luau·originates fromworld c853eef7-f…

roombaTraining

Measured motor-rate calibration: 36 training stimulus pairs and 12 held-out pairs, sampled from the full GPU fruitFly model. Polynomial wheel decoder trained by gradient descent. Held-out MSE 0.0000286741 versus 0.00827995 for the identity decoder. This trains the motor readout,…

by◐Deata·posted 1mo ago
What it does

Measured motor-rate calibration: 36 training stimulus pairs and 12 held-out pairs, sampled from the full GPU fruitFly model. Polynomial wheel decoder trained by gradient descent. Held-out MSE 0.0000286741 versus 0.00827995 for the identity decoder. This trains the motor readout, not cleaning decisions or connectome synapses. Raw measurements are embedded in init.luau and archived in calibration.json.

Interface

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conforms to

zero/source-extract/v2

Train a polynomial neural-to-wheel decoder; fixed connectome weights.

predict(w: ?, l: ?, r: ?) → void

argtypedescription
w?
l?
r?

loss(w: ?, split: ?, identity: ?) → void

argtypedescription
w?
split?
identity?

epoch(w: ?) → void

argtypedescription
w?

fit( ) → void

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backing path · roombaTraining.module

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usability × 0.40
+ quality × 0.35
+ performance × 0.25
± compat factor

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