snowflake.snowpark.functions.dp_interval_high¶
- snowflake.snowpark.functions.dp_interval_high(aggregated_column: Union[snowflake.snowpark.column.Column, str]) Column [source]¶
Returns the high end of the confidence interval for a differentially private aggregate. This function is used with differential privacy aggregation functions to provide the upper bound of the confidence interval for the aggregated result.
- Parameters:
aggregated_column (ColumnOrName) – The result of a differential privacy aggregation function.
- Returns:
The high end of the confidence interval for the differentially private aggregate.
- Return type:
Example:
>>> from snowflake.snowpark.functions import sum as sum_ >>> df = session.create_dataframe([[10], [20], [30]], schema=["num_claims"]) >>> df.select(sum_(df["num_claims"]).alias("sum_claims")).select(dp_interval_high("sum_claims")).collect() [Row(DP_INTERVAL_HIGH("SUM_CLAIMS")=None)]