class_docstr: Plugin reisz function for average treatment effect
class_docstr_tok: ["Plugin","reisz","function","for","average","treatment","effect"]
code: def __init__(self, propensity_model):
      self.propmodel = propensity_model
  
imports: import numpy
  from econml.grf._base_grf import BaseGRF
  from econml.sklearn_extensions.model_selection import GridSearchCVList
  from econml.utilities import cross_product
  from sklearn.compose import ColumnTransformer
  from sklearn.ensemble import GradientBoostingClassifier, GradientBoostingRegressor, RandomForestClassifier, RandomForestRegressor
  from sklearn.linear_model import Lasso, LogisticRegression
  from sklearn.pipeline import Pipeline
  from sklearn.preprocessing import StandardScaler
  from dowhy.utils.regression import create_polynomial_function, generate_moment_function
label_desc: Use image node_id 1 to create a new PluginReisz object  with example: obj = PluginReisz(propensity_model)