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batch processing of the individual model
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""" Reference model to fine tune individal links. This model does not use features and is not trasferable to other scenarios. """ | ||
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# Each link has its own target speed | ||
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import jax.numpy as jnp | ||
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params = None | ||
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def score(params, inputs): | ||
return params[inputs[0]] | ||
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def batch_loss(params, inputs, targets): | ||
error = 0 | ||
inputs = inputs.astype(int) | ||
for x, y in zip(inputs, targets): | ||
preds = score(params, x) | ||
error += (preds - y) ** 2 | ||
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# Select parameters by index | ||
preds = params[inputs].T | ||
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# Calculate the loss | ||
error = jnp.sum((preds - targets) ** 2) | ||
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return error |