The logistic probability density function
X : array-like
X is the linear predictor of the logit model. See notes.
pdf : ndarray
The value of the Logit probability mass function, PMF, for each point of X. np.exp(-x)/(1+np.exp(-X))**2
Notes
In the logit model,
\lambda\left(x^{\prime}\beta\right)=\frac{e^{-x^{\prime}\beta}}{\left(1+e^{-x^{\prime}\beta}\right)^{2}}
statsmodels.discrete.discrete_model.Logit.loglikeobs
statsmodels.discrete.discrete_model.Logit.predict
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