doubleml.DoubleMLPLR ==================== .. currentmodule:: doubleml .. autoclass:: DoubleMLPLR .. rubric:: Methods .. autosummary:: ~DoubleMLPLR.bootstrap ~DoubleMLPLR.cate ~DoubleMLPLR.confint ~DoubleMLPLR.construct_framework ~DoubleMLPLR.draw_sample_splitting ~DoubleMLPLR.evaluate_learners ~DoubleMLPLR.fit ~DoubleMLPLR.gate ~DoubleMLPLR.get_params ~DoubleMLPLR.p_adjust ~DoubleMLPLR.sensitivity_analysis ~DoubleMLPLR.sensitivity_benchmark ~DoubleMLPLR.sensitivity_plot ~DoubleMLPLR.set_ml_nuisance_params ~DoubleMLPLR.set_sample_splitting ~DoubleMLPLR.tune .. rubric:: Attributes .. autosummary:: ~DoubleMLPLR.all_coef ~DoubleMLPLR.all_se ~DoubleMLPLR.boot_method ~DoubleMLPLR.boot_t_stat ~DoubleMLPLR.coef ~DoubleMLPLR.framework ~DoubleMLPLR.learner ~DoubleMLPLR.learner_names ~DoubleMLPLR.models ~DoubleMLPLR.n_folds ~DoubleMLPLR.n_rep ~DoubleMLPLR.n_rep_boot ~DoubleMLPLR.nuisance_loss ~DoubleMLPLR.nuisance_targets ~DoubleMLPLR.params ~DoubleMLPLR.params_names ~DoubleMLPLR.predictions ~DoubleMLPLR.psi ~DoubleMLPLR.psi_deriv ~DoubleMLPLR.psi_elements ~DoubleMLPLR.pval ~DoubleMLPLR.score ~DoubleMLPLR.se ~DoubleMLPLR.sensitivity_elements ~DoubleMLPLR.sensitivity_params ~DoubleMLPLR.sensitivity_summary ~DoubleMLPLR.smpls ~DoubleMLPLR.smpls_cluster ~DoubleMLPLR.summary ~DoubleMLPLR.t_stat .. automethod:: DoubleMLPLR.bootstrap .. automethod:: DoubleMLPLR.cate .. automethod:: DoubleMLPLR.confint .. automethod:: DoubleMLPLR.construct_framework .. automethod:: DoubleMLPLR.draw_sample_splitting .. automethod:: DoubleMLPLR.evaluate_learners .. automethod:: DoubleMLPLR.fit .. automethod:: DoubleMLPLR.gate .. automethod:: DoubleMLPLR.get_params .. automethod:: DoubleMLPLR.p_adjust .. automethod:: DoubleMLPLR.sensitivity_analysis .. automethod:: DoubleMLPLR.sensitivity_benchmark .. automethod:: DoubleMLPLR.sensitivity_plot .. automethod:: DoubleMLPLR.set_ml_nuisance_params .. automethod:: DoubleMLPLR.set_sample_splitting .. automethod:: DoubleMLPLR.tune