Missing Documentation Plotting Script

[araffin]

Hello,
Although I understand the general idea of the plotting script (smooth the reward curve), I have some trouble to understand the different functions in detail.

First, what is the idea behind fix_point(x, y, interval) ?

Then, in the smoothing function:

def smooth_reward_curve(x, y):
    # Halfwidth of our smoothing convolution
    halfwidth = min(31, int(np.ceil(len(x) / 30)))
    k = halfwidth
    xsmoo = x[k:-k]
    ysmoo = np.convolve(y, np.ones(2 * k + 1), mode='valid') / \
        np.convolve(np.ones_like(y), np.ones(2 * k + 1), mode='valid')
    downsample = max(int(np.floor(len(xsmoo) / 1e3)), 1)
    return xsmoo[::downsample], ysmoo[::downsample]

What does 30 and 31 correspond to in halfwidth = min(31, int(np.ceil(len(x) / 30))) ?

PS: the two links at the top of the script are dead link now...

[ikostrikov]

Hi, I took this code from @emansim . I think he can provide a better explanation.

[ikostrikov]

I'm going to get rid of the current plotting. So I'm closing the issue.