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:

1/(1 + exp(-X))

Notes

In the logit model,

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