class_docstr: Linear regression.
  
  Currently wrapper around linear models in scikit-learn: https://github.com/scikit-learn/scikit-learn
class_docstr_tok: ["Linear","regression",".","Currently","wrapper","around","linear","models","in","scikit-learn",":","https",":","\/\/github.com\/scikit-learn\/scikit-learn"]
docstr: Initializes class.
  
  Args:
      feature_names: List of feature names.
      feature_types: List of feature types.
      linear_class: A scikit-learn linear class.
      **kwargs: Kwargs pass to linear class at initialization time.
docstr_tok: ["Initializes","class",".","Args",":","feature_names",":","List","of","feature","names",".","feature_types",":","List","of","feature","types",".","linear_class",":","A","scikit-learn","linear","class",".","*","*","kwargs",":","Kwargs","pass","to","linear","class","at","initialization","time","."]
code: def __init__(
      self,
      feature_names=None,
      feature_types=None,
      linear_class=SKLinear,
      **kwargs,
  ):
      """Initializes class.
  
      Args:
          feature_names: List of feature names.
          feature_types: List of feature types.
          linear_class: A scikit-learn linear class.
          **kwargs: Kwargs pass to linear class at initialization time.
      """
      super().__init__(
          feature_names, feature_types, linear_class, **kwargs
      )
  
imports: from ..api.base import ExplainerMixin
  from ..api.templates import FeatureValueExplanation
  from ..utils._explanation import gen_name_from_class, gen_global_selector, gen_local_selector
  from ..utils._explanation import gen_perf_dicts
  from abc import abstractmethod
  from sklearn.base import is_classifier
  from sklearn.utils.validation import check_is_fitted
  import numpy
  from sklearn.base import ClassifierMixin, RegressorMixin
  from sklearn.linear_model import LogisticRegression
  from sklearn.linear_model import LinearRegression
  from ..utils._clean_x import preclean_X
  from ..utils._clean_simple import clean_dimensions, typify_classification
  from ..utils._unify_data import unify_data
label_desc: Use image node_id 1 to create a new LinearRegression object from inherited base classes: BaseLinear, RegressorMixin, ExplainerMixin with example: obj = LinearRegression(feature_names, feature_types, linear_class)