jliszka

Stay tuned! We're working on improving phrase matching as we speak.

As for the Control-F thing... stay tuned on that too :)

Stay tuned :)

Yep. We normalize our features as part of training, and the stdevs of each feature are part of the resulting model, along with the weights. (The means are always 0 because of the way we construct our training set.) The weights we use in production are actually normalized_weight / stdev.

yes

That would be ideal, but a lot of people are uncomfortable doing that, and you would not get critical feedback as often or as reliably.

You're right, it is begging the question, for any simple function, you basically have to tell it what all the derivatives are for it to work.

The power of this technique is that it handles the product rule and chain rule for you, so composition and multiplication of functions work automatically without extra work.

For the case of 1/(1-x), you only need to tell it the derivatives (wrt x) of

f(x, a) = x * a

g(x, a) = x + a

h(x) = 1/x

Then it automatically knows how to compute the derivatives of h(g(f(x, -1), 1)).

Thanks! fixing...