Function definition of save_quantiles in data_predictor.py

    def save_quantiles(self,dataframe,fields,filepath,quantiles=[0.02,0.1,0.25,0.5,0.75,0.9,0.98]):
        """Writes a JSON file containing quantile metrics for specified fields of the supplied H2O dataframe.
        :param dataframe: the H2O dataframe
        :param fields: the names of the fields for which quantile metrics will be computed
        :param filepath: the path to the location where the JSON file will be stored
        :param quantiles: the array of quantiles to compute (Default value = [0.02,0.1,0.25,0.5,0.75,0.9,0.98])
        """
        df = dataframe.as_data_frame(use_pandas=True)
        results = {}
        for field in fields:
            quantile_metrics = [round(df[field].quantile(q),1) for q in quantiles]
            print("Quantile metrics for {}: {}".format(field, quantile_metrics))
            results[field] = quantile_metrics
        with open(filepath,'w') as f:
            json.dump(results,f)
        print("Saved quantile metrics to {}.".format(filepath))