Generalized Linear Models#
This page contains links to abess.linear
module and its functions.
It is used for GLM problem.
- LinearRegression
- LogisticRegression
LogisticRegression
LogisticRegression.coef_
LogisticRegression.intercept_
LogisticRegression.train_loss_
LogisticRegression.eval_loss_
LogisticRegression.__init__()
LogisticRegression.predict_proba()
LogisticRegression.predict()
LogisticRegression.score()
LogisticRegression.fit()
LogisticRegression.get_params()
LogisticRegression.set_params()
LogisticRegression.__new__()
- PoissonRegression
- CoxPHSurvivalAnalysis
CoxPHSurvivalAnalysis
CoxPHSurvivalAnalysis.coef_
CoxPHSurvivalAnalysis.intercept_
CoxPHSurvivalAnalysis.train_loss_
CoxPHSurvivalAnalysis.eval_loss_
CoxPHSurvivalAnalysis.__init__()
CoxPHSurvivalAnalysis.predict()
CoxPHSurvivalAnalysis.score()
CoxPHSurvivalAnalysis.predict_survival_function()
CoxPHSurvivalAnalysis.fit()
CoxPHSurvivalAnalysis.get_params()
CoxPHSurvivalAnalysis.set_params()
CoxPHSurvivalAnalysis.__new__()
- MultiTaskRegression
MultiTaskRegression
MultiTaskRegression.intercept_
MultiTaskRegression.train_loss_
MultiTaskRegression.eval_loss_
MultiTaskRegression.__init__()
MultiTaskRegression.predict()
MultiTaskRegression.score()
MultiTaskRegression.fit()
MultiTaskRegression.get_params()
MultiTaskRegression.set_params()
MultiTaskRegression.__new__()
- MultinomialRegression
MultinomialRegression
MultinomialRegression.coef_
MultinomialRegression.intercept_
MultinomialRegression.train_loss_
MultinomialRegression.eval_loss_
MultinomialRegression.__init__()
MultinomialRegression.predict_proba()
MultinomialRegression.predict()
MultinomialRegression.score()
MultinomialRegression.fit()
MultinomialRegression.get_params()
MultinomialRegression.set_params()
MultinomialRegression.__new__()
- GammaRegression
- OrdinalRegression