Logit model score (gradient) vector of the log-likelihood
Parameters :
params: array-like :
The parameters of the model
Returns :
The score vector of the model evaluated at `params` :
Notes
System Message: WARNING/2 (\frac{\partial\ln L}{\partial\beta}=\sum_{i=1}^{n}\left(y_{i}-\Lambda_{i}\right)x_{i}
)
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