(self, data)
return data.transform(domain)
Apply an imputation method to the given dataset. Returns a new
        data table with missing values replaced by their imputations.

        Parameters
        ----------
        data : Orange.data.Table
            An input data table.
Apply an imputation method to the given dataset. Returns a new
        data table with missing values replaced by their imputations.
Apply an imputation method to the given dataset . Returns a new data table with missing values replaced by their imputations .
def __call__(self, data):
        """
        Apply an imputation method to the given dataset. Returns a new
        data table with missing values replaced by their imputations.

        Parameters
        ----------
        data : Orange.data.Table
            An input data table.
        """

        method = self.method or impute.Average()
        newattrs = [method(data, var) for var in data.domain.attributes]
        domain = Orange.data.Domain(
            newattrs, data.domain.class_vars, data.domain.metas)
        return data.transform(domain)
def __call__ ( self , data ) : method = self . method or impute . Average ( ) newattrs = [ method ( data , var ) for var in data . domain . attributes ] domain = Orange . data . Domain ( newattrs , data . domain . class_vars , data . domain . metas ) return data . transform ( domain )