Sharp Turn in Logistic Regression

[WWGD]

Hi
I am trying to remember the name of the situation in logistic regression when all data points beyond a fixed one are all successes or all fails. So we have data points$( a_{i1}, a_{i2},.., a_{in} , 0/1)$, with data points $a_{ij}$ordered; last input a Boolean and a fixed value for j after which all inputs are 0 or all are 1s. Informally, the logistic curve has to do a sharp turn when all Boolean values are equal beyond a certain point. Thanks.

 

[jedishrfu]

Do you mean like a sigmoid function or an ReLu function?

https://towardsdatascience.com/activation-functions-neural-networks-1cbd9f8d91d6

 

[WWGD]

A sigmoid, thanks. Will check the link.

 

[Klystron]

Does the term saturation apply?

 

[WWGD]

Does the term saturation apply?

It was something like that, thanks.