Approximation Statistics

Data scientists frequently want to find anomalies in numerical data. To that end, CCP has some simple approximation statistics.

Table 1. Approximation Statistics
Function	Description	Input	Returns
HLLP_ADD	Add value to the HyperLogLogPlus estimator set.	hyperLogLogPlus - The hllp estimator to add a value to value+ - Value to add to the set. Takes a single item or a list.	The HyperLogLogPlus set with a new value added
HLLP_CARDINALITY	Returns HyperLogLogPlus-estimated cardinality for this set.	hyperLogLogPlus - The hllp set	Long value representing the cardinality for this set
HLLP_INIT	Initializes the HyperLogLogPlus estimator set. p must be a value between 4 and sp and sp must be less than 32 and greater than 4.	p - The precision value for the normal set sp - The precision value for the sparse set. If p is set, but sp is 0 or not specified, the sparse set will be disabled.	A new HyperLogLogPlus set
HLLP_MERGE	Merge hllp sets together. The resulting estimator is initialized with p and sp precision values from the first provided hllp estimator set.	hllp - List of hllp estimators to merge. Takes a single hllp set or a list.	True if the filter might contain the value and false otherwise