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