Login Register

GMM.predict()

statsmodels.sandbox.regression.gmm.GMM.predict

GMM.predict(params, exog=None, *args, **kwargs)

After a model has been fit predict returns the fitted values.

This is a placeholder intended to be overwritten by individual models.

Links:

http://statsmodels.sourceforge.net/stable/generated/statsmodels.sandbox.regression.gmm.GMM.predict.html

doc_statsmodels

2017-01-18 16:09:59

Comments

Leave a Comment

Please login to continue.

Popular Articles

sandbox.regression.gmm.GMM() statsmodels.sandbox.regression.gmm.GMM class statsmodels.sandbox.regression.gmm.GMM(endog, exog, instrument, k_moms=None, k_params=None, missing='no

GMM.gmmobjective() statsmodels.sandbox.regression.gmm.GMM.gmmobjective GMM.gmmobjective(params, weights) [source] objective function for GMM minimization Parameters:

GMM.fit() statsmodels.sandbox.regression.gmm.GMM.fit GMM.fit(start_params=None, maxiter=10, inv_weights=None, weights_method='cov', wargs=(), has_optimal_weig

GMM.fititer() statsmodels.sandbox.regression.gmm.GMM.fititer GMM.fititer(start, maxiter=2, start_invweights=None, weights_method='cov', wargs=(), optim_method='bf

GMM.score() statsmodels.sandbox.regression.gmm.GMM.score GMM.score(params, weights, epsilon=None, centered=True) [source]