Login Register

TLinearModel.jac()

statsmodels.miscmodels.tmodel.TLinearModel.jac

TLinearModel.jac(*args, **kwds): jac is deprecated, use score_obs instead! Use score_obs method. jac will be removed in 0.7.
Jacobian/Gradient of log-likelihood evaluated at params for each observation.

Links:

http://statsmodels.sourceforge.net/stable/generated/statsmodels.miscmodels.tmodel.TLinearModel.jac.html

doc_statsmodels

2025-01-10 15:47:30

Comments

Leave a Comment

Please login to continue.

Popular Articles

Probit.jac() statsmodels.discrete.discrete_model.Probit.jac Probit.jac(*args, **kwds) jac is deprecated, use score_obs instead! Use score_obs method. jac will

PoissonGMLE.jac() statsmodels.miscmodels.count.PoissonGMLE.jac PoissonGMLE.jac(*args, **kwds) jac is deprecated, use score_obs instead! Use score_obs method. jac wi

TLinearModel.information() statsmodels.miscmodels.tmodel.TLinearModel.information TLinearModel.information(params) Fisher information matrix of model Returns -Hessian of log

MNLogit.jac() statsmodels.discrete.discrete_model.MNLogit.jac MNLogit.jac(*args, **kwds) jac is deprecated, use score_obs instead! Use score_obs method. jac wil

TLinearModel.reduceparams() statsmodels.miscmodels.tmodel.TLinearModel.reduceparams TLinearModel.reduceparams(params)