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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def predict(self):
 """ Computes all possible weighted average predictions and their variances Example:: Returns -------- `pandas.DataFrame`_ DataFrame with the weighted average predictions and variance of all readouts for each possible clamping .. _pandas.DataFrame: http://pandas.pydata.org/pandas-docs/stable/dsintro.html#dataframe """

        self._logger.info("Computing all predictions and their variance for %s logical networks...", len(self.networks))

        return self.networks.predictions(self.setup.filter(self.networks))