class_docstr: Provides histogram visualizations for classification problems.
docstr: Initializes class.
  
  Args:
      feature_names: List of feature names.
      feature_types: List of feature types.
docstr_tok: ["Initializes","class",".","Args",":","feature_names",":","List","of","feature","names",".","feature_types",":","List","of","feature","types","."]
code: def __init__(self, feature_names=None, feature_types=None):
      """Initializes class.
  
      Args:
          feature_names: List of feature names.
          feature_types: List of feature types.
      """
      self.feature_names = feature_names
      self.feature_types = feature_types
  
imports: from ..api.base import ExplainerMixin, ExplanationMixin
  from ..utils._explanation import gen_name_from_class, gen_global_selector
  import numpy
  from scipy.stats import pearsonr
  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 ClassHistogram object from inherited base classes: ExplainerMixin with example: obj = ClassHistogram(feature_names, feature_types)