Index A | B | C | D | E | F | G | H | I | K | L | M | N | O | P | R | S | T | U | V | W | X | Y A A_ineq (mltpy.constraints.ConstraintMatrices attribute) aic() (mltpy.model.ConditionalTransformationModel method) anova() (in module mltpy.model) AnovaResult (class in mltpy.model) as_LinearConstraint() (mltpy.constraints.BoundaryConstraint method) (mltpy.constraints.MonotonicityConstraint method) as_matrix() (mltpy.constraints.MonotonicityConstraint method) as_scipy_constraint() (mltpy.constraints.BoundaryConstraint method) (mltpy.constraints.MonotonicityConstraint method) auglag_options (mltpy.optimizer.OptimizerConfig attribute) B b_ineq (mltpy.constraints.ConstraintMatrices attribute) BernsteinBasis (class in mltpy.basis) bic() (mltpy.model.ConditionalTransformationModel method) BoundaryConstraint (class in mltpy.constraints) BoxCox (class in mltpy.tram) build_constraint_matrices() (in module mltpy.constraints) build_constraint_matrices_interaction() (in module mltpy.constraints) build_constraints() (in module mltpy.constraints) C C_eq (mltpy.constraints.ConstraintMatrices attribute) cdf() (mltpy.likelihood.DistOps method) CensoredData (class in mltpy.variables) CensoringType (class in mltpy.variables) coef_ (mltpy.tram.Lm property) (mltpy.tram.Polr property) Colr (class in mltpy.tram) ConditionalTransformationModel (class in mltpy.model) confband() (mltpy.model.ConditionalTransformationModel method) confint() (mltpy.model.ConditionalTransformationModel method) constraint_A_ineq (mltpy.optimizer.OptimizationResult attribute) constraint_C_eq (mltpy.optimizer.OptimizationResult attribute) ConstraintMatrices (class in mltpy.constraints) converged (mltpy.optimizer.OptimizationResult attribute) ConvergenceWarning Coxph (class in mltpy.tram) cutpoints_ (mltpy.tram.Polr property) D d_eq (mltpy.constraints.ConstraintMatrices attribute) decode() (mltpy.variables.OrderedVariable method) derivative() (mltpy.basis.BernsteinBasis method) (mltpy.basis.InteractionBasis method) (mltpy.basis.InterceptBasis method) (mltpy.basis.LegendreBasis method) (mltpy.basis.LogBasis method) (mltpy.basis.LogBernsteinBasis method) (mltpy.basis.OrdinalBasis method) (mltpy.basis.PolynomialBasis method) deviance (mltpy.model.AnovaResult attribute) df (mltpy.model.AnovaResult attribute) (mltpy.model.WaldTestResult attribute) DistOps (class in mltpy.likelihood) E encode() (mltpy.variables.OrderedVariable method) estfun() (mltpy.model.ConditionalTransformationModel method) evaluate() (mltpy.basis.BernsteinBasis method) (mltpy.basis.InteractionBasis method) (mltpy.basis.InterceptBasis method) (mltpy.basis.LegendreBasis method) (mltpy.basis.LogBasis method) (mltpy.basis.LogBernsteinBasis method) (mltpy.basis.OneHotBasis method) (mltpy.basis.OrdinalBasis method) (mltpy.basis.PolynomialBasis method) evaluate_with_derivative() (mltpy.basis.BernsteinBasis method) (mltpy.basis.InteractionBasis method) (mltpy.basis.InterceptBasis method) (mltpy.basis.LegendreBasis method) (mltpy.basis.LogBasis method) (mltpy.basis.LogBernsteinBasis method) (mltpy.basis.OrdinalBasis method) (mltpy.basis.PolynomialBasis method) exact (mltpy.variables.CensoredData attribute) F feature_names_in_ (mltpy.model.ConditionalTransformationModel attribute) feature_names_scaling_ (mltpy.tram.BoxCox property) (mltpy.tram.Colr property) (mltpy.tram.Coxph property) (mltpy.tram.Lm property) (mltpy.tram.Survreg property) fit() (mltpy.model.ConditionalTransformationModel method) (mltpy.tram.Polr method) fitted_transformation() (mltpy.tram.BoxCox method) (mltpy.tram.Lm method) fixed_params (mltpy.optimizer.OptimizerConfig attribute) from_exact() (mltpy.variables.CensoredData class method) from_labels() (mltpy.variables.OrderedVariable class method) G gamma_ (mltpy.tram.BoxCox property) (mltpy.tram.Colr property) (mltpy.tram.Coxph property) (mltpy.tram.Lm property) (mltpy.tram.Survreg property) gamma_coef_ (mltpy.model.ConditionalTransformationModel property) H hazard() (mltpy.tram.Coxph method) (mltpy.tram.Lehmann method) (mltpy.tram.Survreg method) hessian() (in module mltpy.likelihood) hessian_ (mltpy.model.ConditionalTransformationModel attribute) I InfeasibleParameterError integrate() (mltpy.basis.BernsteinBasis method) (mltpy.basis.InteractionBasis method) (mltpy.basis.InterceptBasis method) (mltpy.basis.LegendreBasis method) (mltpy.basis.LogBasis method) (mltpy.basis.LogBernsteinBasis method) (mltpy.basis.OrdinalBasis method) (mltpy.basis.PolynomialBasis method) InteractionBasis (class in mltpy.basis) intercept_ (mltpy.tram.Lm property) intercept_score() (in module mltpy.likelihood) InterceptBasis (class in mltpy.basis) INTERVAL (mltpy.variables.CensoringType attribute) interval_censored() (mltpy.variables.CensoredData class method) is_exact_mask (mltpy.variables.CensoredData property) is_fitted_ (mltpy.model.ConditionalTransformationModel attribute) is_interval_censored_mask (mltpy.variables.CensoredData property) is_left_censored_mask (mltpy.variables.CensoredData property) is_right_censored_mask (mltpy.variables.CensoredData property) K K (mltpy.basis.OneHotBasis attribute) (mltpy.basis.OrdinalBasis attribute) (mltpy.variables.OrderedVariable property) K_ (mltpy.tram.Polr property) kind (mltpy.likelihood.DistOps attribute) kkt_residual (mltpy.optimizer.OptimizationResult attribute) L lambda_eq (mltpy.optimizer.OptimizationResult attribute) LEFT (mltpy.variables.CensoringType attribute) left_censored() (mltpy.variables.CensoredData class method) left_truncated() (mltpy.variables.CensoredData class method) LegendreBasis (class in mltpy.basis) Lehmann (class in mltpy.tram) levels (mltpy.variables.OrderedVariable attribute) levels_ (mltpy.tram.Polr property) Lm (class in mltpy.tram) log_lik (mltpy.model.AnovaResult attribute) log_likelihood (mltpy.optimizer.OptimizationResult attribute) log_likelihood() (in module mltpy.likelihood) LogBasis (class in mltpy.basis) LogBernsteinBasis (class in mltpy.basis) logcdf() (mltpy.likelihood.DistOps method) logpdf() (mltpy.likelihood.DistOps method) logsf() (mltpy.likelihood.DistOps method) lower (mltpy.constraints.BoundaryConstraint attribute) (mltpy.optimizer.OptimizerConfig attribute) (mltpy.variables.CensoredData attribute) M max_iter (mltpy.optimizer.OptimizerConfig attribute) max_restarts (mltpy.optimizer.OptimizerConfig attribute) MLT (class in mltpy.model) mltpy.basis module mltpy.constraints module mltpy.likelihood module mltpy.model module mltpy.optimizer module mltpy.tram module mltpy.variables module model_names (mltpy.model.AnovaResult attribute) module mltpy.basis mltpy.constraints mltpy.likelihood mltpy.model mltpy.optimizer mltpy.tram mltpy.variables MonotonicityConstraint (class in mltpy.constraints) mu_ineq (mltpy.optimizer.OptimizationResult attribute) N n (mltpy.variables.CensoredData property) n_censored (mltpy.variables.CensoredData property) n_exact (mltpy.variables.CensoredData property) n_free_params_ (mltpy.model.ConditionalTransformationModel attribute) n_iter (mltpy.optimizer.OptimizationResult attribute) n_obs_ (mltpy.model.ConditionalTransformationModel attribute) n_outer_iter (mltpy.optimizer.OptimizationResult attribute) n_params (mltpy.basis.InteractionBasis property) (mltpy.constraints.BoundaryConstraint attribute) (mltpy.constraints.MonotonicityConstraint attribute) (mltpy.model.AnovaResult attribute) n_restarts (mltpy.optimizer.OptimizationResult attribute) n_x_params (mltpy.basis.InteractionBasis property) n_y_params (mltpy.basis.InteractionBasis property) negative_log_likelihood() (in module mltpy.likelihood) NONE (mltpy.variables.CensoringType attribute) NotFittedError O offset_ (mltpy.model.ConditionalTransformationModel attribute) OneHotBasis (class in mltpy.basis) OptimizationResult (class in mltpy.optimizer) optimize() (in module mltpy.optimizer) OptimizerConfig (class in mltpy.optimizer) order (mltpy.basis.BernsteinBasis attribute) (mltpy.basis.InteractionBasis property) (mltpy.basis.InterceptBasis property) (mltpy.basis.LegendreBasis attribute) (mltpy.basis.LogBasis property) (mltpy.basis.LogBernsteinBasis attribute) (mltpy.basis.OneHotBasis property) (mltpy.basis.OrdinalBasis property) (mltpy.basis.PolynomialBasis attribute) OrderedVariable (class in mltpy.variables) OrdinalBasis (class in mltpy.basis) P p_value (mltpy.model.AnovaResult attribute) (mltpy.model.WaldTestResult attribute) pdf() (mltpy.likelihood.DistOps method) plot() (mltpy.model.ConditionalTransformationModel method) polish (mltpy.optimizer.OptimizerConfig attribute) Polr (class in mltpy.tram) PolynomialBasis (class in mltpy.basis) predict() (mltpy.model.ConditionalTransformationModel method) (mltpy.tram.Polr method) predict_class() (mltpy.tram.Polr method) predict_proba() (mltpy.tram.Polr method) R random_state (mltpy.optimizer.OptimizerConfig attribute) residuals() (mltpy.model.ConditionalTransformationModel method) result_ (mltpy.model.ConditionalTransformationModel attribute) rho_final (mltpy.optimizer.OptimizationResult attribute) RIGHT (mltpy.variables.CensoringType attribute) right_censored() (mltpy.variables.CensoredData class method) S sandwich_se() (mltpy.model.ConditionalTransformationModel method) sandwich_vcov() (mltpy.model.ConditionalTransformationModel method) scaling_feature_names_in_ (mltpy.model.ConditionalTransformationModel attribute) scipy (mltpy.likelihood.DistOps attribute) score() (mltpy.model.ConditionalTransformationModel method) score_contributions() (mltpy.model.ConditionalTransformationModel method) score_matrix() (in module mltpy.likelihood) sigma_ (mltpy.tram.Lm property) simulate() (mltpy.model.ConditionalTransformationModel method) solver (mltpy.optimizer.OptimizerConfig attribute) solver_message (mltpy.optimizer.OptimizationResult attribute) standard_errors() (mltpy.model.ConditionalTransformationModel method) statistic (mltpy.model.WaldTestResult attribute) summary() (mltpy.tram.Polr method) support (mltpy.basis.BernsteinBasis attribute) (mltpy.basis.InteractionBasis property) (mltpy.basis.InterceptBasis attribute) (mltpy.basis.LegendreBasis attribute) (mltpy.basis.LogBasis attribute) (mltpy.basis.LogBernsteinBasis attribute) (mltpy.basis.OrdinalBasis property) (mltpy.basis.PolynomialBasis attribute) survival() (mltpy.tram.Coxph method) (mltpy.tram.Lehmann method) (mltpy.tram.Survreg method) Survreg (class in mltpy.tram) T theta (mltpy.optimizer.OptimizationResult attribute) theta_ (mltpy.model.ConditionalTransformationModel attribute) Theta_ (mltpy.model.ConditionalTransformationModel property) tol (mltpy.optimizer.OptimizerConfig attribute) total_params (mltpy.constraints.BoundaryConstraint attribute) trunc_lower (mltpy.variables.CensoredData attribute) trunc_upper (mltpy.variables.CensoredData attribute) U upper (mltpy.constraints.BoundaryConstraint attribute) (mltpy.optimizer.OptimizerConfig attribute) (mltpy.variables.CensoredData attribute) use_gradient (mltpy.optimizer.OptimizerConfig attribute) V vcov() (mltpy.model.ConditionalTransformationModel method) vcov_type (mltpy.model.WaldTestResult attribute) verbose (mltpy.optimizer.OptimizerConfig attribute) W wald_test() (mltpy.model.ConditionalTransformationModel method) WaldTestResult (class in mltpy.model) weights_ (mltpy.model.ConditionalTransformationModel attribute) X x_basis (mltpy.basis.InteractionBasis attribute) Y y_basis (mltpy.basis.InteractionBasis attribute)