1.2.5.1.15. statsmodels.api.Logit.score¶
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Logit.
score
(params)[source]¶ Logit model score (gradient) vector of the log-likelihood
Parameters: params: array-like
The parameters of the model
Returns: score : ndarray, 1-D
The score vector of the model, i.e. the first derivative of the loglikelihood function, evaluated at params
Notes
\[\frac{\partial\ln L}{\partial\beta}=\sum_{i=1}^{n}\left(y_{i}-\Lambda_{i}\right)x_{i}\]