escanor
No user record in our sample, but escanor has activity below (stories or comments). Likely we have partial data — the full bulk-load will fill profiles in.
No user record in our sample, but escanor has activity below (stories or comments). Likely we have partial data — the full bulk-load will fill profiles in.
brilliant!
it is: (async function(oracle, punch, delay) { async function sleep(ms) { return new Promise((resolve, _) => { setTimeout(resolve, ms) }) } for (let i = 0; i < 100; i++) { const state = oracle._state const block =…
pure random player: (async function(punch, delay) { async function sleep(ms) { return new Promise((resolve, _) => { setTimeout(resolve, ms) }) } for (let i = 0; i < 100; i++) { punch(['L', 'R'][(Math.random() * 2) | 0])…
Who does that algorithm really serve?
great work! just a note regarding tf-idf, when you mention log10: i think you're missing the point on the reason of log and most importantly base 10. namely, using log10 gives us a perspective on the number of digits of…
> for index, item in enumerate(menu): should be > for index, item in enumerate(menu, start=1): for the example to be correct :)
yes, i see this as well. at first it was confusing, but later i understood it was the output.
My understanding is that the neural network is used to predict the "magnitude" of each eigenvector/axe (extracted by using PCA) in order to reconstruct an approximation of the original behavior.