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Integrating Random Functions on a Cluster with Temporal
Using Temporal as a workflow manager to solve math problems with many computers.
- Home- Blog- Research- Navy- Resume- In 2020, I read Lample and Charton’s Deep Learning for Symbolic Mathematics. \[P(L(e,n)=(k,\text{unary})) = \frac{D(e-k, n-1)}{D(e,n)}\] \[P(L(e,n)=(k,\text{binary})) = \frac{D(e-k+1, n-1)}{D(e,n)}\] Now that I had a big list of random functions, I needed to integrate them symbolically and save them for use in the training set. I ran the database and Temporal Service on my Raspberry Pi, which I’ve named Shasta after the famous mountain.
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