statsmodels.discrete.discrete_model.Logit.score_obs#
- Logit.score_obs(params)[source]#
Logit model Jacobian of the log-likelihood for each observation
- Parameters:
- paramsarray_like
The parameters of the model
- Returns:
- jacarray_like
The derivative of the log-likelihood for each observation evaluated at params.
Notes
\[\frac{\partial\ln L_{i}}{\partial\beta}=\left(y_{i}-\Lambda_{i}\right)x_{i}\]for observations \(i=1,...,n\)