def check(self, feature):
        """Check that the dimensions of the transformed data are correct

        For input X, an n x p array, a n x q array should be produced,
        where q is the number of features produced by the logical feature.
        """
        mapper = feature.as_dataframe_mapper()
        X = mapper.fit_transform(self.X, y=self.y)
        assert self.X.shape[0] == X.shape[0]
def check ( self , feature ) : mapper = feature . as_dataframe_mapper ( ) X = mapper . fit_transform ( self . X , y = self . y ) assert self . X . shape [ 0 ] == X . shape [ 0 ]
Check that the dimensions of the transformed data are correct

        For input X, an n x p array, a n x q array should be produced,
        where q is the number of features produced by the logical feature.