shap.LinearExplainer
====================

.. currentmodule:: shap

.. autoclass:: LinearExplainer

   
   .. automethod:: __init__

   
   .. rubric:: Methods

   .. autosummary::
   
      ~LinearExplainer.__init__
      ~LinearExplainer.explain_row
      ~LinearExplainer.load
      ~LinearExplainer.save
      ~LinearExplainer.shap_values
      ~LinearExplainer.supports_model_with_masker
   
   

   
   
   .. rubric:: Attributes

   .. autosummary::
   
      ~LinearExplainer.feature_perturbation
      ~LinearExplainer.nsamples
      ~LinearExplainer.coef
      ~LinearExplainer.intercept
      ~LinearExplainer.mean
      ~LinearExplainer.cov
      ~LinearExplainer.expected_value
      ~LinearExplainer.M
      ~LinearExplainer.valid_inds
      ~LinearExplainer.avg_proj
      ~LinearExplainer.mean_transformed
      ~LinearExplainer.x_transform
      ~LinearExplainer.model
      ~LinearExplainer.masker
      ~LinearExplainer.output_names
      ~LinearExplainer.feature_names
      ~LinearExplainer.link
      ~LinearExplainer.linearize_link