-
Notifications
You must be signed in to change notification settings - Fork 10
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Extended-Time Sensitivity #108
Comments
@bcdaniels Do you have a reference for this? Should we split this issue into two:
|
Actually, it looks like you've already split it up (#123) |
No clear reference here—we probably need to think a bit about the math. But my guess is that this will be related to the "Derrida curve" as seen in, e.g.,
|
DescriptionCompute the sensitivity based on state differences after Proposed APIModify the class SensitivityMixin(object);
def sensitivity(state, timesteps=1, transitions=None):
pass
def average_sensitivity(timesteps=1, transitions=None):
pass Example Usagefrom neet.boolean.examples import s_pombe
s_pombe.sensitivity([0, 0, 1, 0, 0, 1, 0, 0, 1], timesteps=4)
s_pombe.average_sensitivity(timesteps=4) Reference
|
No description provided.
The text was updated successfully, but these errors were encountered: