doubleml.DoubleMLAPO
====================

.. currentmodule:: doubleml

.. autoclass:: DoubleMLAPO

   
   
   .. rubric:: Methods

   .. autosummary::
    ~DoubleMLAPO.bootstrap
    ~DoubleMLAPO.capo
    ~DoubleMLAPO.confint
    ~DoubleMLAPO.construct_framework
    ~DoubleMLAPO.draw_sample_splitting
    ~DoubleMLAPO.evaluate_learners
    ~DoubleMLAPO.fit
    ~DoubleMLAPO.gapo
    ~DoubleMLAPO.get_params
    ~DoubleMLAPO.p_adjust
    ~DoubleMLAPO.sensitivity_analysis
    ~DoubleMLAPO.sensitivity_benchmark
    ~DoubleMLAPO.sensitivity_plot
    ~DoubleMLAPO.set_ml_nuisance_params
    ~DoubleMLAPO.set_sample_splitting
    ~DoubleMLAPO.tune
   
   
   

   
   
   .. rubric:: Attributes

   .. autosummary::
   
      ~DoubleMLAPO.all_coef
      ~DoubleMLAPO.all_se
      ~DoubleMLAPO.boot_method
      ~DoubleMLAPO.boot_t_stat
      ~DoubleMLAPO.coef
      ~DoubleMLAPO.framework
      ~DoubleMLAPO.learner
      ~DoubleMLAPO.learner_names
      ~DoubleMLAPO.models
      ~DoubleMLAPO.n_folds
      ~DoubleMLAPO.n_rep
      ~DoubleMLAPO.n_rep_boot
      ~DoubleMLAPO.normalize_ipw
      ~DoubleMLAPO.nuisance_loss
      ~DoubleMLAPO.nuisance_targets
      ~DoubleMLAPO.params
      ~DoubleMLAPO.params_names
      ~DoubleMLAPO.predictions
      ~DoubleMLAPO.psi
      ~DoubleMLAPO.psi_deriv
      ~DoubleMLAPO.psi_elements
      ~DoubleMLAPO.pval
      ~DoubleMLAPO.score
      ~DoubleMLAPO.se
      ~DoubleMLAPO.sensitivity_elements
      ~DoubleMLAPO.sensitivity_params
      ~DoubleMLAPO.sensitivity_summary
      ~DoubleMLAPO.smpls
      ~DoubleMLAPO.smpls_cluster
      ~DoubleMLAPO.summary
      ~DoubleMLAPO.t_stat
      ~DoubleMLAPO.treated
      ~DoubleMLAPO.treatment_level
      ~DoubleMLAPO.trimming_rule
      ~DoubleMLAPO.trimming_threshold
      ~DoubleMLAPO.weights
   
   




.. automethod:: DoubleMLAPO.bootstrap

.. automethod:: DoubleMLAPO.capo

.. automethod:: DoubleMLAPO.confint

.. automethod:: DoubleMLAPO.construct_framework

.. automethod:: DoubleMLAPO.draw_sample_splitting

.. automethod:: DoubleMLAPO.evaluate_learners

.. automethod:: DoubleMLAPO.fit

.. automethod:: DoubleMLAPO.gapo

.. automethod:: DoubleMLAPO.get_params

.. automethod:: DoubleMLAPO.p_adjust

.. automethod:: DoubleMLAPO.sensitivity_analysis

.. automethod:: DoubleMLAPO.sensitivity_benchmark

.. automethod:: DoubleMLAPO.sensitivity_plot

.. automethod:: DoubleMLAPO.set_ml_nuisance_params

.. automethod:: DoubleMLAPO.set_sample_splitting

.. automethod:: DoubleMLAPO.tune