[calvo_machine_learn] Replace np.sum(a * b) with a @ b#214
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mmcky merged 2 commits intoQuantEcon:mainfrom Aug 5, 2025
Merged
[calvo_machine_learn] Replace np.sum(a * b) with a @ b#214mmcky merged 2 commits intoQuantEcon:mainfrom
mmcky merged 2 commits intoQuantEcon:mainfrom
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mmcky
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Aug 5, 2025
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| # 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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Replace np.sum(a * b) and jnp.sum(a * b) with a @ b
QuantEcon/lecture-python.myst#463