[calvo_machine_learn] Replace np.sum(a * b) with a @ b #214
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mmcky
reviewed
Aug 5, 2025
| # Compute the weighted sums for all t | ||
| weighted_sums = jnp.array( | ||
| [jnp.sum(λ_powers[:T-t] * μ[t:T]) for t in range(T)]) |
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@HumphreyYang should we do this for jnp.sum as well as np.sum?
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Many thanks @mmcky, I think it's fine because they behave similarly.
I will do another pass over every lecture once the preview PR is opened!
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thanks @HumphreyYang this is building now
#219
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I'll merge this in and then update #219
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Replace np.sum(a * b) and jnp.sum(a * b) with a @ b
QuantEcon/lecture-python.myst#463