statsmodels.discrete.discrete_model.Logit.cdf

Logit.cdf(X) [source]

The logistic cumulative distribution function

Parameters:	X (array-like) – X is the linear predictor of the logit model. See notes.
Returns:
Return type:	1/(1 + exp(-X))

Notes

In the logit model,

\[\Lambda\left(x^{\prime}\beta\right)=\text{Prob}\left(Y=1|x\right)=\frac{e^{x^{\prime}\beta}}{1+e^{x^{\prime}\beta}}\]