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