econml/dml.py
def coef_(self):
        """
        Get the final model's coefficients.

        Note that this relies on the final model having a `coef_` property of its own.
        Most sklearn linear models support this, but there are cases that don't
        (e.g. a `Pipeline` or `GridSearchCV` which wraps a linear model)
        """
        return self._model_final.coef_

        Get the final model's coefficients.

        Note that this relies on the final model having a `coef_` property of its own.
        Most sklearn linear models support this, but there are cases that don't
        (e.g. a `Pipeline` or `GridSearchCV` which wraps a linear model)
        
Get the final model's coefficients.
Note that this relies on the final model having a `coef_` property of its own.
Most sklearn linear models support this, but there are cases that don't
Get the final model ' s coefficients . Note that this relies on the final model having a ` coef_ ` property of its own . Most sklearn linear models support this but there are cases that don ' t
def coef_(self):
        return self._model_final.coef_
def coef_ ( self ) : return self . _model_final . coef_
Get the final model's coefficients.
Get the final model ' s coefficients .
"""
        Get the final model's coefficients.

        Note that this relies on the final model having a `coef_` property of its own.
        Most sklearn linear models support this, but there are cases that don't
        (e.g. a `Pipeline` or `GridSearchCV` which wraps a linear model)
        """
self