statsmodels.discrete.discrete_model.Logit.cdf

Logit.cdf(X)

The logistic cumulative distribution function

Parameters:

Xarray_like

X is the linear predictor of the logit model. See notes.

Returns:

1/(1 + exp(-X))

Notes

In the logit model,

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