code: def __init__(
      self,
      type_of_estimator,
      column_descriptions,
      feature_selection_model="SelectFromModel",
  ):
      self.column_descriptions = column_descriptions
      self.type_of_estimator = type_of_estimator
      self.feature_selection_model = feature_selection_model
  
file_path: auto_ml/auto_ml/utils_feature_selection.py
imports: from sklearn.base import BaseEstimator, TransformerMixin
  from sklearn.ensemble import RandomForestClassifier, RandomForestRegressor
  import scipy
  import itertools
  from sklearn.feature_selection import GenericUnivariateSelect, RFECV, SelectFromModel
label_desc: Use image node_id 1 to create a new FeatureSelectionTransformer object from inherited base classes: BaseEstimator, TransformerMixin with example: obj = FeatureSelectionTransformer(type_of_estimator, column_descriptions, feature_selection_model)