- From: Garret Rieger <grieger@google.com>
- Date: Wed, 7 Oct 2020 10:58:15 -0700
- To: Chris Lilley <chris@w3.org>
- Cc: "w3c-webfonts-wg (public-webfonts-wg@w3.org)" <public-webfonts-wg@w3.org>
- Message-ID: <CAM=OCWaRGiEFB=rtf0L1_N5KScC+DE3SdcT=h0H1K2zBT-+hCg@mail.gmail.com>
The maximum value used in the simulation was 1000. I'll generate a new version of the graph which has 1000 as the maximum. On Wed, Oct 7, 2020 at 8:02 AM Chris Lilley <chris@w3.org> wrote: > Thanks! That makes it much clearer for me. > > The graph at > https://docs.google.com/document/d/1kx62tpy5hGIbHh6tHMAryon9Sgye--W_IsHTeCMlmEo/edit# > > has M= 100 but the Python has M = 1000. Which is correct, for the final > version of the cost function? > > Also, I have a screenshot of the sigmoid graph for now but would love to > see the graph as a separate graphic, if that is convenient? > On 2020-10-07 02:30, Garret Rieger wrote: > > Here's how the cost function as presented here > <https://docs.google.com/document/d/1kx62tpy5hGIbHh6tHMAryon9Sgye--W_IsHTeCMlmEo/edit#heading=h.4fz1x8661i63> was > derived: > > > - Start with the logistic function (a sigmoid): M/ ( 1 + e^(-k(x - > x_0))) > - M is the maximum height of the function. > - k scales the width of the function > - and x_0 shifts the function left/right. > > We want a function that starts rising at x = T_z and hits it's maximum at > T_m: > > - Width of the period it rises over is W = T_m - T_z > - Scale k = K / W. Where K is a hand selected constant which controls > the width. By dividing by W we normalize the scale against the width. A > value of K = 11.5 was found to give a near maximum and minimum value at T_z > and T_m. > - x_0 = W/2 + T_z = T_m/2 - T_z/2 + T_z = T_m/2 + T_z/2 > - This moves the function W/2 units to the right (the logistic > function starts centered on x = 0) > - And then an additional T_z to the right to add the initial period > of zero cost. > > If you plug that all into M / (1 + e^(-k(x - x_0))) you get: > > M / ( 1 + e^(-11.5/(T_m-T_z) * ( x - T_m/2 - T_z/2))) > > There's a similar explanation in the actual implementation in code: > https://github.com/w3c/PFE-analysis/blob/master/analysis/cost.py > > -- > Chris Lilley > @svgeesus > Technical Director @ W3C > W3C Strategy Team, Core Web Design > W3C Architecture & Technology Team, Core Web & Media > >
Received on Wednesday, 7 October 2020 17:58:46 UTC